{"id":195303,"date":"2026-04-10T02:32:50","date_gmt":"2026-04-10T06:32:50","guid":{"rendered":"https:\/\/innowise.com\/?p=195303"},"modified":"2026-04-10T02:33:18","modified_gmt":"2026-04-10T06:33:18","slug":"ai-credit-scoring","status":"publish","type":"post","link":"https:\/\/innowise.com\/sv\/blog\/ai-credit-scoring\/","title":{"rendered":"Why AI credit scoring outperforms traditional models: predicting reality, not history"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"195303\" class=\"elementor elementor-195303\">\n\t\t\t\t<div class=\"elementor-element elementor-element-819836f e-flex e-con-boxed e-con e-parent\" data-id=\"819836f\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c955e32 elementor-widget__width-initial elementor-widget elementor-widget-html\" data-id=\"c955e32\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div style=\"display: none;\"><\/div>\n\n<div style=\"display: none;\" class=\"breadcrumbs flex\">\n    <div class=\"info\"> \n    <a href=\"https:\/\/innowise.com\/\">\n  Main\n  <\/a>\n    <\/div>\n    <div class=\"info\">\n         <a href=\"https:\/\/innowise.com\/about-us\/\">\n  About us\n  <\/a>\n    <\/div>\n     <div class=\"info\">\n          <a href=\"https:\/\/innowise.com\/blog\/\">\n  Blog\n  <\/a>\n    <\/div>\n<\/div>\n<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\/\", \n  \"@type\": \"BreadcrumbList\", \n  \"itemListElement\": [{\n    \"@type\": \"ListItem\", \n    \"position\": 1, \n    \"name\": \"Innowise is on Top: We Are No. 554 on Inc. 5000 Annual List\",\n    \"item\": \"https:\/\/innowise.com\/blog\/inc-5000-puts-innowise-group-among-the-fastest-growing-technology-companies-in-the-usa-2022\/\"  \n  },{\n    \"@type\": \"ListItem\", \n    \"position\": 2, \n    \"name\": \"Blog\",\n    \"item\": \"https:\/\/innowise.com\/blog\/\"  \n  },{\n    \"@type\": \"ListItem\", \n    \"position\": 3, \n    \"name\": \"Main\",\n    \"item\": \"https:\/\/innowise.com\/\"  \n  }]\n}\n<\/script>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-93f634e elementor-widget-tablet__width-inherit elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"93f634e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Why AI credit scoring outperforms traditional models: predicting reality, not history<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a0ba38f elementor-widget__width-initial elementor-widget elementor-widget-html\" data-id=\"a0ba38f\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"heroBottom\">\r\n  <div>\r\n    <a rel=\"noopener noreferrer\" href=\"\/authors\/siarhei-sukhadolski\/\">Siarhei Sukhadolski<\/a>\r\n  <\/div>\r\n\r\n  <div class=\"second\">\r\n    <span>Apr 10, 2026<\/span>\r\n    <span>15 min read<\/span>\r\n  <\/div>\r\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b399fb9 elementor-hidden-desktop elementor-hidden-tablet e-flex e-con-boxed e-con e-parent\" data-id=\"b399fb9\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-523b86d elementor-widget elementor-widget-image\" data-id=\"523b86d\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"800\" height=\"600\" src=\"https:\/\/innowise.com\/wp-content\/uploads\/2026\/04\/Small-cover-Why-AI-credit-scoring-outperforms-traditional-models_-predicting-reality-not-history.png\" class=\"attachment-large size-large wp-image-195304\" alt=\"\" srcset=\"https:\/\/innowise.com\/wp-content\/uploads\/2026\/04\/Small-cover-Why-AI-credit-scoring-outperforms-traditional-models_-predicting-reality-not-history.png 880w, https:\/\/innowise.com\/wp-content\/uploads\/2026\/04\/Small-cover-Why-AI-credit-scoring-outperforms-traditional-models_-predicting-reality-not-history-300x225.png 300w, https:\/\/innowise.com\/wp-content\/uploads\/2026\/04\/Small-cover-Why-AI-credit-scoring-outperforms-traditional-models_-predicting-reality-not-history-768x576.png 768w, https:\/\/innowise.com\/wp-content\/uploads\/2026\/04\/Small-cover-Why-AI-credit-scoring-outperforms-traditional-models_-predicting-reality-not-history-16x12.png 16w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-970be0b article-description e-flex e-con-boxed e-con e-parent\" data-id=\"970be0b\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-f2465c0 author-article e-con-full e-flex e-con e-child\" data-id=\"f2465c0\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-7726aac e-con-full e-flex e-con e-child\" data-id=\"7726aac\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-27f6da7 e-con-full takeways e-flex e-con e-child\" data-id=\"27f6da7\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e65d259 elementor-widget elementor-widget-heading\" data-id=\"e65d259\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Key takeaways<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c8d5045 elementor-widget elementor-widget-text-editor\" data-id=\"c8d5045\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul class=\"blackUl\"><li><span style=\"font-weight: 400;\">Banks use AI to reduce manual work and speed up loan decisions, with some U.S. banks <\/span><a href=\"https:\/\/www.reuters.com\/business\/finance\/us-bank-executives-say-ai-will-boost-productivity-cut-jobs-2025-12-09\/?utm_source=chatgpt.com\" target=\"_blank\" rel=\"noopener nofollow\"><span style=\"font-weight: 400;\">delivering major gains<\/span><\/a><span style=\"font-weight: 400;\"> since AI adoption.<\/span><\/li><li><span style=\"font-weight: 400;\">AI credit scoring systems<\/span><span style=\"font-weight: 400;\"> self-update with new data, making them better attuned to economic changes and able to detect anomalies, like unusual spending, sooner than older scoring models.<\/span><\/li><li><span style=\"font-weight: 400;\">You don\u2019t need to rip out your old-hat systems. Instead, run AI models alongside legacy systems and weed out improvements before you plug them into production.<\/span><\/li><li><span style=\"font-weight: 400;\">AI models assess creditworthiness by considering alternative data as a way of validating thin-file borrowers instead of relying solely on the traditional underwriting process through a credit bureau.<\/span><\/li><li><span style=\"font-weight: 400;\">Raw data only starts delivering value when banks convert it into useful insight, such as using records of your transactions to create a model that predicts whether you\u2019ll likely pay off a loan.<\/span><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ccd97df elementor-widget elementor-widget-text-editor\" data-id=\"ccd97df\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">It\u2019s no surprise that banks reject loan applications every day. Sometimes, with good reason, and other times\u2026 not so much.<\/span><\/p><p><span style=\"font-weight: 400;\">A typical example of \u201cgreat on paper,\u201d but doesn\u2019t meet the criteria, is the gig economy. A place chock full of hard-working, well-compensated individuals who tick virtually all the boxes \u2014 their rent is paid on time, no crazy debts. Except they\u2019re missing one crucial piece of documentation, a W-2.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Application = Denied.<\/span><\/p><p><span style=\"font-weight: 400;\">The same can be said of newly arrived immigrants who are working, doing all the right things on the surface, but at the time of application have no bureau record. Same outcome.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">For context, we can look to the numbers provided by the Consumer Financial Protection Bureau (CFPB). In 2020, about <\/span><a href=\"https:\/\/files.consumerfinance.gov\/f\/documents\/cfpb_update-credit-invisibles-estimate_2025-06.pdf\" target=\"_blank\" rel=\"noopener nofollow\"><span style=\"font-weight: 400;\">2.7% of U.S. adults had NO credit record<\/span><\/a><span style=\"font-weight: 400;\">. That translates as<\/span><b> 7 million people<\/b><span style=\"font-weight: 400;\"> are invisible to bureaus.<\/span><\/p><p><span style=\"font-weight: 400;\">Why? It\u2019s all about a thin credit file. Legacy scoring systems look at five things: payment history, how much you owe, credit history length, new credit, and loan portfolio. That&#8217;s it.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">The algorithm is looking for history and finds a blank space. Therefore, potential applicants leave. Very likely, they will move to another lender with better technology.<\/span><\/p><p><span style=\"font-weight: 400;\">AI credit scoring<\/span><span style=\"font-weight: 400;\"> helps FinTech reach unbanked customers and analyze data faster. Since lenders want quicker decisions with fewer losses, an AI-fueled <\/span><span style=\"font-weight: 400;\">credit scoring system<\/span><span style=\"font-weight: 400;\"> provides this opportunity. The numbers tell the story best \u2014 AI in the financial market is forecast to <\/span><a href=\"https:\/\/www.marketsandmarkets.com\/Market-Reports\/ai-in-finance-market-90552286.html?\" target=\"_blank\" rel=\"noopener nofollow\"><span style=\"font-weight: 400;\">grow from $38.36 billion in 2024 to over $190 billion<\/span><\/a><span style=\"font-weight: 400;\"> by 2030.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4c0ad5b elementor-widget elementor-widget-image\" data-id=\"4c0ad5b\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"495\" src=\"https:\/\/innowise.com\/wp-content\/uploads\/2026\/03\/AI-in-Finance_-market-size-share.png\" class=\"attachment-large size-large wp-image-194867\" alt=\"A diagram showing AI in finance market size and share in the article AI credit scoring.\" srcset=\"https:\/\/innowise.com\/wp-content\/uploads\/2026\/03\/AI-in-Finance_-market-size-share.png 1000w, https:\/\/innowise.com\/wp-content\/uploads\/2026\/03\/AI-in-Finance_-market-size-share-300x186.png 300w, https:\/\/innowise.com\/wp-content\/uploads\/2026\/03\/AI-in-Finance_-market-size-share-768x475.png 768w, https:\/\/innowise.com\/wp-content\/uploads\/2026\/03\/AI-in-Finance_-market-size-share-18x12.png 18w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d0f3cfe elementor-widget elementor-widget-text-editor\" data-id=\"d0f3cfe\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Let\u2019s now look at how <\/span><span style=\"font-weight: 400;\">artificial intelligence credit scoring<\/span><span style=\"font-weight: 400;\"> works and which benefits it brings.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2014610 elementor-widget elementor-widget-shortcode\" data-id=\"2014610\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-shortcode\">[blog_related_services post_in='190132,172273,93416' title='See what related services we offer']<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f2858d1 e-con-full e-flex e-con e-child\" data-id=\"f2858d1\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-86cbb77 elementor-widget elementor-widget-heading\" data-id=\"86cbb77\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">What is an AI credit scoring?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-589fc28 e-con-full e-flex e-con e-child\" data-id=\"589fc28\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c717074 elementor-widget elementor-widget-text-editor\" data-id=\"c717074\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">AI credit scoring<\/span><span style=\"font-weight: 400;\"> is a method that uses artificial intelligence and machine learning to determine the likelihood of a borrower repaying a loan. It does this by sifting through large datasets to find signals that can\u2019t be caught through manual review or are missed by humans.<\/span><\/p><p><span style=\"font-weight: 400;\">The concept itself is straightforward: you train a model on past repayment outcomes and assess risk using a broader range of indicators than a traditional credit score.<\/span><\/p><p><span style=\"font-weight: 400;\">Here\u2019s how it works.<\/span><\/p><p><span style=\"font-weight: 400;\">A machine learning model examines the borrower\u2019s data, determines how closely it matches patterns from historic loans, calculates a risk value, and gives you an <\/span><span style=\"font-weight: 400;\">AI credit score<\/span><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">And here\u2019s a look at how raw data becomes a usable number:<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-afb9e16 elementor-widget elementor-widget-html\" data-id=\"afb9e16\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\r\n\r\n\r\n<ul class=\"blackUl\">\r\n     <li>Data engineers process the original input, clean it, and convert it into features that can be processed by a computer.<\/li>\r\n   <li>Data scientists use historical loan profiles and their repayment history (who repaid their loans on time, who defaulted, and who was late but eventually repaid) to build the credit score model.<\/li>\r\n     <li>Once the model is created and trained, it will produce a risk score for each loan application.<\/li>\r\n<\/ul>\r\n\r\n\r\n\r\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8caf975 e-con-full e-flex e-con e-child\" data-id=\"8caf975\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-b3ed1e1 e-con-full e-flex e-con e-child\" data-id=\"b3ed1e1\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-78cf149 elementor-widget-tablet__width-inherit elementor-widget__width-initial max100 elementor-widget elementor-widget-heading\" data-id=\"78cf149\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Stuck with rigid scoring formulas that can't adapt to real borrower behavior?<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3385d12 e-con-full e-flex e-con e-child\" data-id=\"3385d12\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-791c477 elementor-absolute elementor-widget-mobile__width-inherit transform elementor-widget elementor-widget-html\" data-id=\"791c477\" data-element_type=\"widget\" data-settings=\"{&quot;_position&quot;:&quot;absolute&quot;}\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"wave-container\"><\/div>\r\n\r\n<style>\r\n  .wave-container {\r\n    width: 400px;\r\n    height: 400px;\r\n  }\r\n\r\n  @media(max-width: 767px) {\r\n    .wave-container {\r\n      width: 100%;\r\n      height: 100%;\r\n    }\r\n  }\r\n\r\n\r\n  .wave {\r\n    position: absolute;\r\n    border: 1px solid rgba(210, 184, 214, 1);\r\n    border-radius: 50%;\r\n    animation: drop 16s infinite;\r\n    top: 50%;\r\n    left: 50%;\r\n    transform: translate(-50%, -50%);\r\n    box-sizing: border-box;\r\n  }\r\n\r\n  @keyframes drop {\r\n    0% {\r\n      width: 0px;\r\n      height: 0px;\r\n      border: 1px solid rgba(210, 184, 214, 1);\r\n    }\r\n\r\n    100% {\r\n      width: 400px;\r\n      height: 400px;\r\n      border: 1px solid rgba(210, 184, 214, 0);\r\n    }\r\n  }\r\n<\/style>\r\n\r\n<script>\r\n\r\n  document.addEventListener('DOMContentLoaded', () => {\r\n    function createWaves(numberOfWaves) {\r\n      const waveContainers = document.querySelectorAll('.wave-container');\r\n\r\n      waveContainers.forEach((waveContainer) => {\r\n        for (let i = 0; i < numberOfWaves; i++) {\r\n          const wave = document.createElement('div');\r\n          wave.classList.add('wave');\r\n\r\n          wave.style.animationDelay = `${i * 0.8}s`;\r\n\r\n          waveContainer.appendChild(wave);\r\n        }\r\n      });\r\n    }\r\n\r\n    createWaves(10)\r\n  });\r\n<\/script>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-669a2bc elementor-align-left elementor-widget__width-initial elementor-widget-mobile__width-inherit cta-btn elementor-widget elementor-widget-button\" data-id=\"669a2bc\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"#contact-form\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Deploy AI scoring<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4ecfe9d e-con-full e-flex e-con e-child\" data-id=\"4ecfe9d\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a4b3e42 elementor-widget elementor-widget-heading\" data-id=\"a4b3e42\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">How AI-based credit scoring is different from traditional models<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1ef2e57 e-con-full e-flex e-con e-child\" data-id=\"1ef2e57\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-29a4105 elementor-widget elementor-widget-text-editor\" data-id=\"29a4105\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">The foundation of traditional models is that they operate on linear logic. Event A always follows event B. Regulators appreciate this predictability because it\u2019s easy to explain. However, fundamental limitations make it impossible to make significant improvements. And models like FICO can\u2019t learn or adjust when unforeseen events occur.<\/span><\/p><p><span style=\"font-weight: 400;\">Traditional scoring assesses everyone identically: a missed payment lowers the score, a thin history is penalized, and job loss or hospitalization makes no difference.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">AI credit models<\/span><span style=\"font-weight: 400;\"> work on a completely different principle. They can see the difference between a missed payment during a documented medical emergency and a borrower who regularly pays late. They can notice that a recent immigrant with a master&#8217;s degree and a stable job at a Fortune 500 company might be safer than their limited credit history suggests.<\/span><\/p><p><span style=\"font-weight: 400;\">Note: this logic should use only allowed data sources and borrower-submitted hardship proof.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-18c3ec9 e-con-full e-flex e-con e-child\" data-id=\"18c3ec9\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-26562e4 elementor-widget elementor-widget-heading\" data-id=\"26562e4\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">How AI credit scoring models work<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b734485 e-con-full e-flex e-con e-child\" data-id=\"b734485\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9668081 elementor-widget elementor-widget-text-editor\" data-id=\"9668081\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Although the score may seem mysterious, an <\/span><span style=\"font-weight: 400;\">AI loan system<\/span><span style=\"font-weight: 400;\"> emerges from a precise sequence of steps based on big data and machine learning.<\/span><\/p><p><span style=\"font-weight: 400;\">Here&#8217;s how it actually works.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1a930a7 e-con-full e-flex e-con e-child\" data-id=\"1a930a7\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8ab7381 elementor-widget elementor-widget-heading\" data-id=\"8ab7381\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Collecting structured and unstructured data<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-a103ab8 e-con-full e-flex e-con e-child\" data-id=\"a103ab8\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-454a7f1 elementor-widget elementor-widget-text-editor\" data-id=\"454a7f1\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">To either deny or approve the credit, a system automatically collects and organizes enormous volumes of structured data (i.e., spreadsheets, databases, etc.) and extracts unstructured data (text files, PDF, images, etc.) from various sources.<\/span><\/p><p><span style=\"font-weight: 400;\">Key categories include:<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4575a24 elementor-widget elementor-widget-html\" data-id=\"4575a24\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\r\n\r\n\r\n<ul class=\"blackUl\">\r\n     <li>Bureau information includes: payment record (payment history, unpaid bills, how much you owe), and credit use.<\/li>\r\n     <li>Any non-credit bureau payment history, such as rent\/utility\/telecom\/wallet activity (only if the customer has agreed to provide access to this info).<\/li>\r\n     <li>How your bank account is performing (credited\/debited) through open banking technology.<\/li>\r\n     <li>Signals of status level (your job stability, ability to hold stable housing and income) from legitimate providers.<\/li>\r\n     <li>Information you submit to credit bureaus for your credit update, like copies of job offer letters and income statements.<\/li>\r\n<\/ul>\r\n\r\n\r\n\r\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-41ea3ea e-con-full e-flex e-con e-child\" data-id=\"41ea3ea\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0590c58 elementor-widget elementor-widget-heading\" data-id=\"0590c58\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Training the machine learning model on repayment outcomes<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-318a4f8 e-con-full e-flex e-con e-child\" data-id=\"318a4f8\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-bf9d7bf elementor-widget elementor-widget-text-editor\" data-id=\"bf9d7bf\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">To train a predictive model, data scientists analyze historical repayment data from over 1 million loans, identifying characteristics of borrowers who repaid versus those who defaulted.<\/span><\/p><p><span style=\"font-weight: 400;\">Here\u2019s how data scientists train a model:<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b9f9a20 elementor-widget elementor-widget-html\" data-id=\"b9f9a20\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\r\n\r\n\r\n<ul class=\"blackUl\">\r\n     <li>Remove all missing or inaccurate entries from the data, and create ratios such as utilization and debt-to-income.<\/li>\r\n   <li>Select inputs with a \"real\" signal, using methods such as LASSO or tree models.<\/li>\r\n     <li>Split data into training (80%) and test sets (20%) to compare the actual performance of the model with the test set and minimize overfitting.<\/li>\r\n     <li>Train the model and adjust its parameters to minimize the error in predicting the targeted outcome.<\/li>\r\n     <li>Validate with AUC, precision, recall, and bias checks, then retrain after fixes when results fall short.<\/li>\r\n<\/ul>\r\n\r\n\r\n\r\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-046253e e-con-full e-flex e-con e-child\" data-id=\"046253e\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-864abfe elementor-widget elementor-widget-heading\" data-id=\"864abfe\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Real-time scoring through REST API<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1776f1e e-con-full e-flex e-con e-child\" data-id=\"1776f1e\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8da0262 elementor-widget elementor-widget-text-editor\" data-id=\"8da0262\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">After training, lenders deploy a validated model as a cloud-based REST API to integrate it into loan ecosystems.<\/span><\/p><p><span style=\"font-weight: 400;\">Here\u2019s what happens in the live environment:<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d5c5a0c elementor-widget elementor-widget-html\" data-id=\"d5c5a0c\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\r\n\r\n\r\n<ul class=\"blackUl\">\r\n    <li>An API is used to get information about the application fields and both the bureau and bank pulls with the necessary permissions.<\/li>\r\n    <li>Lenders submit a JSON to the scoring API and receive a decision (including a score or probability of default) as well as the codes for the reasons behind the decision.<\/li>\r\n    <li>Experts apply policy rules and risk flags to approve, decline, or route to review right after submission.<\/li>\r\n<\/ul>\r\n\r\n\r\n\r\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7369e0c e-con-full e-flex e-con e-child\" data-id=\"7369e0c\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-800a3c7 elementor-widget elementor-widget-heading\" data-id=\"800a3c7\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Ongoing model updates and retraining<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0f0a635 e-con-full e-flex e-con e-child\" data-id=\"0f0a635\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b8e1a5a elementor-widget elementor-widget-text-editor\" data-id=\"b8e1a5a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Deployment does not mark an endpoint. The model trained based on spending in 2024 may not perform as well in 2026 if economic conditions change, so professionals employ monitoring, drift detection, and scheduled retraining.<\/span><\/p><p><span style=\"font-weight: 400;\">In situations where a borrower has been evaluated as having a low risk of default and then defaults, an AI-powered monitoring system will alert human experts for additional manual checks. Data scientists will also investigate mistakes and retrain the model using real-time data. This loop keeps the system sharp and well-adapted to new fraud schemes and changing consumer behavior.<\/span><\/p><p><span style=\"font-weight: 400;\">Key practices in continuous learning include:<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-313091f elementor-widget elementor-widget-html\" data-id=\"313091f\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\r\n\r\n\r\n<ul class=\"blackUl\">\r\n    <li>Lenders retrain models monthly or quarterly to constantly keep track of new loan outcomes and maintain up-to-date risk prediction logic.<\/li>\r\n    <li>A challenger version of a model often runs in parallel with the production version and typically supersedes the running version once demonstrated better performance.<\/li>\r\n    <li>Decision thresholds and risk segments adjust dynamically according to changing market conditions or any evolving economic downturn.<\/li>\r\n    <li>Retraining eliminates outdated correlations that are no longer valid (like the pre-pandemic travel patterns) in order to fix concept drift.<\/li>\r\n    <li>Analysts monitor performance gaps and recalibrate the model whenever actual default rates rise above predictions.<\/li>\r\n<\/ul>\r\n\r\n\r\n\r\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b3900e8 elementor-widget elementor-widget-text-editor\" data-id=\"b3900e8\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">When viewed in totality, and when we consider the inner workings of financial institutions, it\u2019s easy to see the immense value of <\/span><span style=\"font-weight: 400;\">AI-based scoring machines<\/span><span style=\"font-weight: 400;\">.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Now, let\u2019s move on to discussing a few prominent <\/span><span style=\"font-weight: 400;\">AI credit scoring benefits<\/span><span style=\"font-weight: 400;\">.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6a22a8d e-con-full e-flex e-con e-child\" data-id=\"6a22a8d\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2d3881d elementor-widget elementor-widget-heading\" data-id=\"2d3881d\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Benefits of AI credit scoring for financial institutions<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7bb1714 e-con-full e-flex e-con e-child\" data-id=\"7bb1714\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b3fcff3 elementor-widget elementor-widget-text-editor\" data-id=\"b3fcff3\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">AI credit platforms<\/span><span style=\"font-weight: 400;\"> help lenders authorize more customers while minimizing losses and disputes and reducing manual work.<\/span><\/p><p><span style=\"font-weight: 400;\">Below are the main ways AI changes credit scoring.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8a94d72 e-con-full e-flex e-con e-child\" data-id=\"8a94d72\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-19cdea6 elementor-widget elementor-widget-heading\" data-id=\"19cdea6\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Precision in risk management<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7c702d7 elementor-widget elementor-widget-text-editor\" data-id=\"7c702d7\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Accuracy is the holy grail of lending and is the only thing that really matters here. Poor accuracy brings mistakes that cost money: approving a bad loan results in a write-off, while rejecting a good borrower costs revenue and hands them to a competitor.<\/span><\/p><p><span style=\"font-weight: 400;\">AI credit scoring<\/span><span style=\"font-weight: 400;\"> models leverage additional data and pattern-detection algorithms to make more accurate predictions of defaults and delinquencies. For lenders, this means fewer nasty surprises in their loan portfolios. A McKinsey analysis found <\/span><a href=\"https:\/\/www.mckinsey.com\/capabilities\/risk-and-resilience\/our-insights\/designing-next-generation-credit-decisioning-models?utm_source=chatgpt.com\" target=\"_blank\" rel=\"noopener nofollow\"><span style=\"font-weight: 400;\">a 20\u201340% reduction in credit losses<\/span><\/a><span style=\"font-weight: 400;\"> among companies that used better default-estimation models.<\/span><\/p><p><span style=\"font-weight: 400;\">What this means in practice:<\/span><\/p><p><span style=\"font-weight: 400;\">The model accurately forecasts loan repayments, which reduces default rates. It detects anomalous repayment patterns and triggers a fraud review. With better risk prediction and control, lenders can offer loans with appropriate interest rates to maximize their revenue.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b602139 e-con-full e-flex e-con e-child\" data-id=\"b602139\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6ce6cea elementor-widget elementor-widget-heading\" data-id=\"6ce6cea\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Lending process automation<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3863917 elementor-widget elementor-widget-text-editor\" data-id=\"3863917\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Underwriting was slow and repetitive: teams had to look for documents, calculate debt-to-income ratios on a calculator, and pull reports one by one. In fact, many people still do it the old-fashioned way.<\/span><\/p><p><span style=\"font-weight: 400;\">An <\/span><span style=\"font-weight: 400;\">AI credit scoring engine<\/span><span style=\"font-weight: 400;\"> automatically processes documents, calculates DTI, and retrieves credit reports within minutes, if not seconds. Suddenly, a decision that used to take three days happens almost immediately. Borrowers get an instant answer, and the loan is processed before they can even look at a competitor\u2019s website.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-d38488f e-con-full e-flex e-con e-child\" data-id=\"d38488f\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-48c8439 elementor-widget elementor-widget-heading\" data-id=\"48c8439\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Expanded market reach<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-370d3d5 elementor-widget elementor-widget-text-editor\" data-id=\"370d3d5\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Using<\/span><span style=\"font-weight: 400;\"> AI for credit scoring<\/span><span style=\"font-weight: 400;\"> allows lenders to serve customer segments that traditional models consider too risky or difficult to underwrite. They mark them as &#8220;too risky&#8221; simply because they don&#8217;t fit the standard template.<\/span><\/p><p><span style=\"font-weight: 400;\">Underbanked borrowers, such as young people or those with spotty financial histories, are basically not eligible under traditional scoring. AI models that include alternative data improve small-business and consumer loan approvals because they spot value where traditional scoring sees risk.<\/span><\/p><p><span style=\"font-weight: 400;\">Moreover, AI algorithms may employ grouping methods when creating granular risk sections. Rather than putting thousands of clients into a single &#8220;moderate&#8221; category, an AI grouping process will break those people down into smaller groups, each with its own specific risk estimate.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">This allows low-risk customers to avoid negative consequences simply because they share the same demographic\/credit score band as higher-risk clients.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2ff4c5a e-con-full e-flex e-con e-child\" data-id=\"2ff4c5a\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ea1c66b elementor-widget elementor-widget-heading\" data-id=\"ea1c66b\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">A simpler loan workflow from end to end<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-07df1b1 elementor-widget elementor-widget-text-editor\" data-id=\"07df1b1\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Beyond the credit decision itself, <\/span><span style=\"font-weight: 400;\">artificial intelligence credit scoring<\/span><span style=\"font-weight: 400;\"> optimizes every phase of the lending process.<\/span><\/p><p><span style=\"font-weight: 400;\">Digital credit scoring<\/span><span style=\"font-weight: 400;\"> platforms verify income and identity through database checks and document scanning. For example, some AI services use computer vision to read pay stubs or tax forms and confirm employment income in seconds.<\/span><\/p><p><span style=\"font-weight: 400;\">In traditional setups, an application is a hot potato. It moves from front-office operations to credit analysis and then to risk assessment. Lenders can shorten approval times and reduce manual review with AI scoring for verification and decisioning. McKinsey described <\/span><a href=\"https:\/\/www.mckinsey.com\/~\/media\/mckinsey\/industries\/financial%20services\/our%20insights\/ai%20powered%20decision%20making%20for%20the%20bank%20of%20the%20future\/ai-powered-decision-making-for-the-bank-of-the-future.pdf\" target=\"_blank\" rel=\"noopener nofollow\"><span style=\"font-weight: 400;\">this type of end-to-end setup<\/span><\/a><span style=\"font-weight: 400;\"> as a way to improve customer experience and reduce back-office costs.<\/span><\/p><p><span style=\"font-weight: 400;\">Plus, standardizing procedures reduces training time, creates transparent logs for oversight, and gives customers a consistent experience.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b9f3252 e-con-full e-flex e-con e-child\" data-id=\"b9f3252\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-62831ab elementor-widget elementor-widget-heading\" data-id=\"62831ab\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Making AI accessible to all<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1856c31 elementor-widget elementor-widget-text-editor\" data-id=\"1856c31\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">A decade ago, building AI systems required substantial upfront costs (data scientists, GPUs, data pipelines). That barrier has dramatically reduced.<\/span><\/p><p><span style=\"font-weight: 400;\">AI credit scoring<\/span><span style=\"font-weight: 400;\"> technology is now becoming accessible to lenders of all sizes. Today, cheaper cloud computing and open-source libraries make it easier for lenders to hire or train machine-learning staff.<\/span><\/p><p><span style=\"font-weight: 400;\">Various FinTech firms, like Zest AI, Lenddo, and Upstart, offer AI-powered credit scoring provided as SDKs that lenders can integrate. With the rise of cloud computing, even smaller lenders can access AI infrastructure on cloud platforms such as AWS or Google Cloud.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-33c1d9c e-con-full e-flex e-con e-child\" data-id=\"33c1d9c\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-75834a0 elementor-widget elementor-widget-heading\" data-id=\"75834a0\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Lower cost and less manual work<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4056900 elementor-widget elementor-widget-text-editor\" data-id=\"4056900\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">McKinsey found that AI and machine learning solutions <\/span><a href=\"https:\/\/www.mckinsey.com\/~\/media\/mckinsey\/industries\/financial%20services\/our%20insights\/ai%20powered%20decision%20making%20for%20the%20bank%20of%20the%20future\/ai-powered-decision-making-for-the-bank-of-the-future.pdf\" target=\"_blank\" rel=\"noopener nofollow\"><span style=\"font-weight: 400;\">cut paper steps and reduce document requests<\/span><\/a><span style=\"font-weight: 400;\">, which lowers support costs and speeds approvals.<\/span><\/p><p><span style=\"font-weight: 400;\">On the technical side, costs drop for a simple reason: the system retrieves and validates data once, then enforces consistent rules. Reducing one-off exceptions significantly reduces staff review hours, not to mention that it also cuts paperwork and boosts approval.<\/span><\/p><p><span style=\"font-weight: 400;\">The CFPB reported a lender test in which the model <\/span><a href=\"https:\/\/www.federalregister.gov\/documents\/2020\/05\/08\/2020-09890\/fair-lending-report-of-the-bureau-of-consumer-financial-protection-april-2020\" target=\"_blank\" rel=\"noopener nofollow\"><span style=\"font-weight: 400;\">approved 27% more applicants and reduced average APRs for approved loans by 16%<\/span><\/a><span style=\"font-weight: 400;\">, while keeping overall risk and fair-lending compliance unchanged.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3d9375d e-con-full e-flex e-con e-child\" data-id=\"3d9375d\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-a9d2be3 e-con-full e-flex e-con e-child\" data-id=\"a9d2be3\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c2caaca elementor-widget-tablet__width-inherit elementor-widget__width-initial max100 elementor-widget elementor-widget-heading\" data-id=\"c2caaca\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Got mountains of data but no way to turn it into accurate risk predictions?<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-da7aa98 e-con-full e-flex e-con e-child\" data-id=\"da7aa98\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-555d9a7 elementor-absolute elementor-widget-mobile__width-inherit transform elementor-widget elementor-widget-html\" data-id=\"555d9a7\" data-element_type=\"widget\" data-settings=\"{&quot;_position&quot;:&quot;absolute&quot;}\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"wave-container\"><\/div>\r\n\r\n<style>\r\n  .wave-container {\r\n    width: 400px;\r\n    height: 400px;\r\n  }\r\n\r\n  @media(max-width: 767px) {\r\n    .wave-container {\r\n      width: 100%;\r\n      height: 100%;\r\n    }\r\n  }\r\n\r\n\r\n  .wave {\r\n    position: absolute;\r\n    border: 1px solid rgba(210, 184, 214, 1);\r\n    border-radius: 50%;\r\n    animation: drop 16s infinite;\r\n    top: 50%;\r\n    left: 50%;\r\n    transform: translate(-50%, -50%);\r\n    box-sizing: border-box;\r\n  }\r\n\r\n  @keyframes drop {\r\n    0% {\r\n      width: 0px;\r\n      height: 0px;\r\n      border: 1px solid rgba(210, 184, 214, 1);\r\n    }\r\n\r\n    100% {\r\n      width: 400px;\r\n      height: 400px;\r\n      border: 1px solid rgba(210, 184, 214, 0);\r\n    }\r\n  }\r\n<\/style>\r\n\r\n<script>\r\n\r\n  document.addEventListener('DOMContentLoaded', () => {\r\n    function createWaves(numberOfWaves) {\r\n      const waveContainers = document.querySelectorAll('.wave-container');\r\n\r\n      waveContainers.forEach((waveContainer) => {\r\n        for (let i = 0; i < numberOfWaves; i++) {\r\n          const wave = document.createElement('div');\r\n          wave.classList.add('wave');\r\n\r\n          wave.style.animationDelay = `${i * 0.8}s`;\r\n\r\n          waveContainer.appendChild(wave);\r\n        }\r\n      });\r\n    }\r\n\r\n    createWaves(10)\r\n  });\r\n<\/script>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3cd7997 elementor-align-left elementor-widget__width-initial elementor-widget-mobile__width-inherit cta-btn elementor-widget elementor-widget-button\" data-id=\"3cd7997\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"#contact-form\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Build a custom AI solution<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3b8f308 e-con-full e-flex e-con e-child\" data-id=\"3b8f308\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-58d81d6 elementor-widget elementor-widget-heading\" data-id=\"58d81d6\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Key AI models used in credit scoring<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-46f240a e-con-full e-flex e-con e-child\" data-id=\"46f240a\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-beb7a8a elementor-widget elementor-widget-text-editor\" data-id=\"beb7a8a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Financial institutions use several types of AI models to predict borrower risk. Selecting the right <\/span><span style=\"font-weight: 400;\">AI credit scoring<\/span><span style=\"font-weight: 400;\"> depends on the specific needs of the lending institution and the data at hand.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Here\u2019s how to approach the decision:<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-da58a01 elementor-widget elementor-widget-html\" data-id=\"da58a01\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\r\n\r\n\r\n<ul class=\"blackUl\">\r\n    <li><b>Logistic regression<\/b>\r\nis an optimal choice when the input dataset is not very complex and low latency matters. It has high interpretability and fast training speeds, but will typically not capture complex relationships.<\/li>\r\n    <li><b>Gradient-boosted trees<\/b> or <b>random forests<\/b>\r\nprovide better performance and higher accuracy on complex datasets, but require much longer training times and increased computational resources.<\/li>\r\n    <li><b>Neural networks<\/b>, when optimally tuned, are generally the most effective model for massive unstructured datasets, provided that you have sufficient labeled data and large computational resources available.<\/li>\r\n<\/ul>\r\n\r\n\r\n\r\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-298c7eb elementor-widget elementor-widget-text-editor\" data-id=\"298c7eb\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Different situations require different optimal models. The right choice depends on how you balance accuracy with system complexity and the resources you have available.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c113b53 e-con-full e-flex e-con e-child\" data-id=\"c113b53\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-84c8ac0 elementor-widget elementor-widget-heading\" data-id=\"84c8ac0\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">How to build an AI credit scoring system<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c31481e elementor-widget elementor-widget-text-editor\" data-id=\"c31481e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Creating your own custom risk model gives you complete ownership of your risks and allows you to differentiate your business from competitors who use a one-size-fits-all scorecard. To do this, you must break your project down into different phases, assigning owners and milestones to each phase, so you can measure where you are in the process.<\/span><\/p><p><span style=\"font-weight: 400;\">Let\u2019s look at these stages in more detail.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b872d1b e-con-full e-flex e-con e-child\" data-id=\"b872d1b\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0af4ee7 elementor-widget elementor-widget-heading\" data-id=\"0af4ee7\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Data collection<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a028eb2 elementor-widget elementor-widget-text-editor\" data-id=\"a028eb2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">The first step is to construct your reservoir. Gather your internal performance information about loans, as well as credit reports and alternative datasets. Create a minimal security ETL (extract, transform, load) pipeline to pull those datasets into a common repository. The ideal storage scenario is the cloud, as it offers the greatest flexibility for growth.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9f9c0dc e-con-full e-flex e-con e-child\" data-id=\"9f9c0dc\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-35d6661 elementor-widget elementor-widget-heading\" data-id=\"35d6661\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Feature engineering<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1a0d130 elementor-widget elementor-widget-text-editor\" data-id=\"1a0d130\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Raw transaction lists contain hundreds of entries that don&#8217;t really tell you anything on their own, so you must first convert them to a feature form that can be processed by a model.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">If you calculate the &#8220;average balance over the last 90 days,&#8221; that single metric becomes a feature that helps the model determine your financial stability. It takes a good understanding of banking operations to know which features are relevant, though.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-e2167d5 e-con-full e-flex e-con e-child\" data-id=\"e2167d5\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d1078c6 elementor-widget elementor-widget-heading\" data-id=\"d1078c6\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Model training<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6ecbfb0 elementor-widget elementor-widget-text-editor\" data-id=\"6ecbfb0\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Pick one algorithm, such as Random Forest or XGBoost, and split the entire dataset between the training and test sets. Train the selected algorithm on the training set and also tune the learning_rate and n_estimators hyperparameters. Evaluate the model&#8217;s performance in the test dataset by calculating the AUC score. When the AUC is 0.8 or higher or continues to improve, stop tuning.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3f1baba e-con-full e-flex e-con e-child\" data-id=\"3f1baba\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4896b51 elementor-widget elementor-widget-heading\" data-id=\"4896b51\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Validation<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fbec4e1 elementor-widget elementor-widget-text-editor\" data-id=\"fbec4e1\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Validation identifies bias through stress tests that monitor performance during economic downturns. This step is critical for compliance with regulators who demand to know how your system makes decisions.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3f62377 e-con-full e-flex e-con e-child\" data-id=\"3f62377\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e6473d9 elementor-widget elementor-widget-heading\" data-id=\"e6473d9\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Deployment<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-434a7b2 elementor-widget elementor-widget-text-editor\" data-id=\"434a7b2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">In the final stage of AI model development, the model is transferred from testing\/experimenting in the lab to actual usage. Your <\/span><a href=\"\/services\/ai-development\/\"><span style=\"font-weight: 400;\">AI development partner<\/span><\/a><span style=\"font-weight: 400;\"> wraps the model in an API and integrates it into your loan origination system. When a customer clicks &#8220;Apply&#8221;, the system generates an instant credit score so that underwriters can approve loan applications within minutes instead of days or longer.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-49cbc79 e-con-full e-flex e-con e-child\" data-id=\"49cbc79\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-15996b2 elementor-widget elementor-widget-heading\" data-id=\"15996b2\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Monitoring & recalibration<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-578a6b2 elementor-widget elementor-widget-text-editor\" data-id=\"578a6b2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Now you establish dashboards to monitor the daily default rate, approval rate, and AUC of your model. In addition, if the default rate increases by more than two percentage points or if the approval rate decreases sharply, you need to conduct a data drift examination and set up an updated calibration for your model.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-cd0a044 e-con-full e-flex e-con e-child\" data-id=\"cd0a044\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-2aaf058 e-con-full e-flex e-con e-child\" data-id=\"2aaf058\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9776cf5 elementor-widget-tablet__width-inherit elementor-widget__width-initial max100 elementor-widget elementor-widget-heading\" data-id=\"9776cf5\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Losing good borrowers because your system only reads traditional credit reports?<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-a0dd2f7 e-con-full e-flex e-con e-child\" data-id=\"a0dd2f7\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-12131bf elementor-absolute elementor-widget-mobile__width-inherit transform elementor-widget elementor-widget-html\" data-id=\"12131bf\" data-element_type=\"widget\" data-settings=\"{&quot;_position&quot;:&quot;absolute&quot;}\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"wave-container\"><\/div>\r\n\r\n<style>\r\n  .wave-container {\r\n    width: 400px;\r\n    height: 400px;\r\n  }\r\n\r\n  @media(max-width: 767px) {\r\n    .wave-container {\r\n      width: 100%;\r\n      height: 100%;\r\n    }\r\n  }\r\n\r\n\r\n  .wave {\r\n    position: absolute;\r\n    border: 1px solid rgba(210, 184, 214, 1);\r\n    border-radius: 50%;\r\n    animation: drop 16s infinite;\r\n    top: 50%;\r\n    left: 50%;\r\n    transform: translate(-50%, -50%);\r\n    box-sizing: border-box;\r\n  }\r\n\r\n  @keyframes drop {\r\n    0% {\r\n      width: 0px;\r\n      height: 0px;\r\n      border: 1px solid rgba(210, 184, 214, 1);\r\n    }\r\n\r\n    100% {\r\n      width: 400px;\r\n      height: 400px;\r\n      border: 1px solid rgba(210, 184, 214, 0);\r\n    }\r\n  }\r\n<\/style>\r\n\r\n<script>\r\n\r\n  document.addEventListener('DOMContentLoaded', () => {\r\n    function createWaves(numberOfWaves) {\r\n      const waveContainers = document.querySelectorAll('.wave-container');\r\n\r\n      waveContainers.forEach((waveContainer) => {\r\n        for (let i = 0; i < numberOfWaves; i++) {\r\n          const wave = document.createElement('div');\r\n          wave.classList.add('wave');\r\n\r\n          wave.style.animationDelay = `${i * 0.8}s`;\r\n\r\n          waveContainer.appendChild(wave);\r\n        }\r\n      });\r\n    }\r\n\r\n    createWaves(10)\r\n  });\r\n<\/script>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b337e08 elementor-align-left elementor-widget__width-initial elementor-widget-mobile__width-inherit cta-btn elementor-widget elementor-widget-button\" data-id=\"b337e08\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"#contact-form\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Modernize your scoring<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6df57b5 e-con-full e-flex e-con e-child\" data-id=\"6df57b5\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-92f3710 elementor-widget elementor-widget-heading\" data-id=\"92f3710\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">AI credit scoring system cost<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-04f6b2b elementor-widget elementor-widget-text-editor\" data-id=\"04f6b2b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p style=\"margin-bottom: 0px;\"><span style=\"font-weight: 400;\">Building a smart credit scoring platform requires a minimum investment of $15,000, while enterprise builds will reach $150k or above, depending on specific compliance needs and feature requirements.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-584f1d5 elementor-widget elementor-widget-image\" data-id=\"584f1d5\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"462\" src=\"https:\/\/innowise.com\/wp-content\/uploads\/2026\/04\/AI-credit-scoring-platform-development-cost.png\" class=\"attachment-large size-large wp-image-195310\" alt=\"AI credit scoring platform development costs based on features and the size of the company it&#039;s designed for.\" srcset=\"https:\/\/innowise.com\/wp-content\/uploads\/2026\/04\/AI-credit-scoring-platform-development-cost.png 1000w, https:\/\/innowise.com\/wp-content\/uploads\/2026\/04\/AI-credit-scoring-platform-development-cost-300x173.png 300w, https:\/\/innowise.com\/wp-content\/uploads\/2026\/04\/AI-credit-scoring-platform-development-cost-768x444.png 768w, https:\/\/innowise.com\/wp-content\/uploads\/2026\/04\/AI-credit-scoring-platform-development-cost-18x10.png 18w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-38b3fc9 elementor-widget elementor-widget-text-editor\" data-id=\"38b3fc9\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p style=\"margin-bottom: 0px;\"><span style=\"font-weight: 400;\">There are three key categories based on scale and functionality.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-539c3cc e-con-full e-flex e-con e-child\" data-id=\"539c3cc\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d5d7655 elementor-widget elementor-widget-heading\" data-id=\"d5d7655\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Early-stage systems (MVP)<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-68d5620 elementor-widget elementor-widget-text-editor\" data-id=\"68d5620\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">It includes only essential features like digital identity verification, basic risk dashboards, and automated real-time credit decisions. MVPs designed for market testing typically cost between $15,000 and $40,000.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">This tier is ideal for startups targeting thin-file consumers or FinTech companies testing market fit. It&#8217;s the best option to begin with: only essential functionality without unnecessary features.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2a902db e-con-full e-flex e-con e-child\" data-id=\"2a902db\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c4a1807 elementor-widget elementor-widget-heading\" data-id=\"c4a1807\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Mid-market platforms<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3f8b21a elementor-widget elementor-widget-text-editor\" data-id=\"3f8b21a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">These solutions add alternative data, fraud detection, and predictive analytics, helping lenders expand credit access for thin-file borrowers while maintaining strict risk controls. Explainable AI provides decision reasoning that shows how a model reached its conclusion, not just the outcome.<\/span><\/p><p><span style=\"font-weight: 400;\">The costs can vary from $45,000 to $80,000.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5e318bd e-con-full e-flex e-con e-child\" data-id=\"5e318bd\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1e66dc9 elementor-widget elementor-widget-heading\" data-id=\"1e66dc9\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Bank-grade infrastructure<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-64e33f2 elementor-widget elementor-widget-text-editor\" data-id=\"64e33f2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Enterprise deployments for high-volume processing range from $85,000 to $150,000 and above. This investment provides lenders with automated compliance workflows for audit-ready reporting, alongside deep-learning models that retrain monthly, and dashboards that track thousands of loans in real time.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-bfbdf94 e-con-full e-flex e-con e-child\" data-id=\"bfbdf94\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7963d0f elementor-widget elementor-widget-heading\" data-id=\"7963d0f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Implementing machine learning and AI for credit scoring<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7c18e29 elementor-widget elementor-widget-text-editor\" data-id=\"7c18e29\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">We believe that the best approach is a hybrid one. You leverage AI to power decisions while keeping humans \u201cin the loop\u201d for oversight. This way, you balance automated speed and insight with prudent judgment of veteran underwriters.<\/span><\/p><p><span style=\"font-weight: 400;\">Making the switch feels heavy. We get it.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">You literally change the way you manage your risks. But you can begin with a small step. The best implementations we have seen start small, often running a &#8220;shadow model&#8221; alongside the legacy system until the team trusts a new system.<\/span><\/p><p><span style=\"font-weight: 400;\">At Innowise, we have navigated this path with banks and FinTech before. We know where data pitfalls are and what challenging questions regulators ask. With 19+ years of practical experience, our <\/span><span style=\"font-weight: 400;\">AI developers<\/span><span style=\"font-weight: 400;\"> have implemented dozens of FinTech projects.<\/span><\/p><p><span style=\"font-weight: 400;\">If you are ready to update your <\/span><span style=\"font-weight: 400;\">credit scoring engine<\/span><span style=\"font-weight: 400;\">, our <\/span><a href=\"\/hire-developers\/artificial-intelligence\/\"><span style=\"font-weight: 400;\">AI engineers<\/span><span style=\"font-weight: 400;\"> can develop a tailored credit scoring solution<\/span><\/a><span style=\"font-weight: 400;\"> that meets your product and risk profile.<\/span><\/p><p style=\"margin-bottom: 0px;\"><span style=\"font-weight: 400;\">Please don\u2019t hesitate to <\/span><a href=\"\/contact-us\/\"><span style=\"font-weight: 400;\">contact us<\/span><\/a><span style=\"font-weight: 400;\"> anytime you see fit.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ae5c395 e-con-full e-flex e-con e-child\" data-id=\"ae5c395\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6ae72dc elementor-widget elementor-widget-heading\" data-id=\"6ae72dc\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">FAQ<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-eb16636 e-con-full e-flex e-con e-child\" data-id=\"eb16636\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b8d4f77 faq elementor-widget elementor-widget-n-accordion\" data-id=\"b8d4f77\" data-element_type=\"widget\" data-settings=\"{&quot;default_state&quot;:&quot;all_collapsed&quot;,&quot;max_items_expended&quot;:&quot;one&quot;,&quot;n_accordion_animation_duration&quot;:{&quot;unit&quot;:&quot;ms&quot;,&quot;size&quot;:400,&quot;sizes&quot;:[]}}\" data-widget_type=\"nested-accordion.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"e-n-accordion\" aria-label=\"Accordion. Open links with Enter or Space, close with Escape, and navigate with Arrow Keys\">\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1930\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"1\" tabindex=\"0\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1930\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> How does AI credit scoring collect and use alternative data? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" fill=\"none\"><path fill=\"#C63031\" d=\"M8 21v-2h24v2z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" fill=\"none\"><path fill=\"#C63031\" d=\"M19 8h2v24h-2z\"><\/path><path fill=\"#C63031\" d=\"M8 21v-2h24v2z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1930\" class=\"elementor-element elementor-element-feeb54a e-con-full e-flex e-con e-child\" data-id=\"feeb54a\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5c6107d elementor-widget elementor-widget-html\" data-id=\"5c6107d\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class='content'>\n <p>It uses alternative data signals to assess near-term ability to repay, consisting of rent, phone bills & cash flow patterns.<\/p>   \n<\/div> \n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1931\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"2\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1931\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> What are the main fairness and bias risks in artificial intelligence credit scoring? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" fill=\"none\"><path fill=\"#C63031\" d=\"M8 21v-2h24v2z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" fill=\"none\"><path fill=\"#C63031\" d=\"M19 8h2v24h-2z\"><\/path><path fill=\"#C63031\" d=\"M8 21v-2h24v2z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1931\" class=\"elementor-element elementor-element-b2d154d e-con-full e-flex e-con e-child\" data-id=\"b2d154d\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-cbff152 elementor-widget elementor-widget-html\" data-id=\"cbff152\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class='content'>\n <p>Models that use historical data may reflect bias found within the training data. Therefore, lenders must frequently test their models for fairness and correct any disparities that arise as a result of the model's predictions.\n<\/p>   \n<\/div> \n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1932\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"3\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1932\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> How do regulators currently treat credit AI models? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" fill=\"none\"><path fill=\"#C63031\" d=\"M8 21v-2h24v2z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" fill=\"none\"><path fill=\"#C63031\" d=\"M19 8h2v24h-2z\"><\/path><path fill=\"#C63031\" d=\"M8 21v-2h24v2z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1932\" class=\"elementor-element elementor-element-7fc7a5f e-flex e-con-boxed e-con e-child\" data-id=\"7fc7a5f\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-abcc621 elementor-widget elementor-widget-html\" data-id=\"abcc621\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class='content'>\n <p>For lenders who use AI credit algorithms, regulators insist that they demonstrate fair lending decision-making, do not discriminate, and keep records of inputs related to lending outcomes.\n<\/p>   \n<\/div> \n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1933\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"4\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1933\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> How to evaluate accuracy and validation metrics for AI credit scores? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" fill=\"none\"><path fill=\"#C63031\" d=\"M8 21v-2h24v2z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" fill=\"none\"><path fill=\"#C63031\" d=\"M19 8h2v24h-2z\"><\/path><path fill=\"#C63031\" d=\"M8 21v-2h24v2z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1933\" class=\"elementor-element elementor-element-fe845f9 e-flex e-con-boxed e-con e-child\" data-id=\"fe845f9\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d508490 elementor-widget elementor-widget-html\" data-id=\"d508490\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class='content'>\n <p>Teams test all models on a holdout dataset, none of the models were trained upon, and compare predictions against actual outcomes for new borrowers.\n<\/p>   \n<\/div> \n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1934\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"5\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1934\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> What steps should lenders take to implement AI for credit scoring safely?  <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" fill=\"none\"><path fill=\"#C63031\" d=\"M8 21v-2h24v2z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" fill=\"none\"><path fill=\"#C63031\" d=\"M19 8h2v24h-2z\"><\/path><path fill=\"#C63031\" d=\"M8 21v-2h24v2z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1934\" class=\"elementor-element elementor-element-1ba26b8 e-flex e-con-boxed e-con e-child\" data-id=\"1ba26b8\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0585c37 elementor-widget elementor-widget-html\" data-id=\"0585c37\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class='content'>\n <p>First, lenders should run a model next to their traditional credit scoring process. Next, lenders should use a human review process for high-risk accounts and expand when stable.<\/p>   \n<\/div> \n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1935\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"6\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1935\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> What is the typical cost to build a custom credit scoring system? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" fill=\"none\"><path fill=\"#C63031\" d=\"M8 21v-2h24v2z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" fill=\"none\"><path fill=\"#C63031\" d=\"M19 8h2v24h-2z\"><\/path><path fill=\"#C63031\" d=\"M8 21v-2h24v2z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1935\" class=\"elementor-element elementor-element-35ffbb7 e-flex e-con-boxed e-con e-child\" data-id=\"35ffbb7\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-283aa3d elementor-widget elementor-widget-html\" data-id=\"283aa3d\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class='content'>\n <p>A typical low-end custom credit scoring system will generally cost a minimum of ~ $15,000, whereas large-scale systems can exceed $150,000 or more.<\/p>   \n<\/div> \n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1936\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"7\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1936\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> How do new credit risk models for the unbanked expand market share? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" fill=\"none\"><path fill=\"#C63031\" d=\"M8 21v-2h24v2z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" fill=\"none\"><path fill=\"#C63031\" d=\"M19 8h2v24h-2z\"><\/path><path fill=\"#C63031\" d=\"M8 21v-2h24v2z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1936\" class=\"elementor-element elementor-element-9e62e30 e-flex e-con-boxed e-con e-child\" data-id=\"9e62e30\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5834cec elementor-widget elementor-widget-html\" data-id=\"5834cec\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class='content'>\n <p>Improved credit risk models allow lenders to score borrowers using additional data, which is beneficial for gig workers or immigrants who are rejected by traditional credit models.<\/p>   \n<\/div> \n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1937\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"8\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1937\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> What infrastructure is required to support digital credit scoring? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" fill=\"none\"><path fill=\"#C63031\" d=\"M8 21v-2h24v2z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" fill=\"none\"><path fill=\"#C63031\" d=\"M19 8h2v24h-2z\"><\/path><path fill=\"#C63031\" d=\"M8 21v-2h24v2z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1937\" class=\"elementor-element elementor-element-5cd2735 e-flex e-con-boxed e-con e-child\" data-id=\"5cd2735\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b357fd2 elementor-widget elementor-widget-html\" data-id=\"b357fd2\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class='content'>\n <p>Lenders leverage public cloud storage and compute services on AWS or Google Cloud because they scale and do not require an initial investment in on-premise hardware.\n<\/p>   \n<\/div> \n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<script type=\"application\/ld+json\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"How does AI credit scoring collect and use alternative data?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"It uses alternative data signals to assess near-term ability to repay, consisting of rent, phone bills & cash flow patterns.\"}},{\"@type\":\"Question\",\"name\":\"What are the main fairness and bias risks in artificial intelligence credit scoring?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Models that use historical data may reflect bias found within the training data. Therefore, lenders must frequently test their models for fairness and correct any disparities that arise as a result of the model's predictions.\"}},{\"@type\":\"Question\",\"name\":\"How do regulators currently treat credit AI models?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"For lenders who use AI credit algorithms, regulators insist that they demonstrate fair lending decision-making, do not discriminate, and keep records of inputs related to lending outcomes.\"}},{\"@type\":\"Question\",\"name\":\"How to evaluate accuracy and validation metrics for AI credit scores?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Teams test all models on a holdout dataset, none of the models were trained upon, and compare predictions against actual outcomes for new borrowers.\"}},{\"@type\":\"Question\",\"name\":\"What steps should lenders take to implement AI for credit scoring safely?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"First, lenders should run a model next to their traditional credit scoring process. Next, lenders should use a human review process for high-risk accounts and expand when stable.\"}},{\"@type\":\"Question\",\"name\":\"What is the typical cost to build a custom credit scoring system?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"A typical low-end custom credit scoring system will generally cost a minimum of ~ $15,000, whereas large-scale systems can exceed $150,000 or more.\"}},{\"@type\":\"Question\",\"name\":\"How do new credit risk models for the unbanked expand market share?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Improved credit risk models allow lenders to score borrowers using additional data, which is beneficial for gig workers or immigrants who are rejected by traditional credit models.\"}},{\"@type\":\"Question\",\"name\":\"What infrastructure is required to support digital credit scoring?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Lenders leverage public cloud storage and compute services on AWS or Google Cloud because they scale and do not require an initial investment in on-premise hardware.\"}}]}<\/script>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-79848c4 elementor-widget elementor-widget-shortcode\" data-id=\"79848c4\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-shortcode\">[post_share]<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-39b2cde e-con-full tablePadding40 e-flex e-con e-child\" data-id=\"39b2cde\" data-element_type=\"container\" id=\"author-container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-4f789f1 e-grid e-con-full e-con e-child\" data-id=\"4f789f1\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d319168 elementor-widget elementor-widget-image\" data-id=\"d319168\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"100\" height=\"100\" src=\"https:\/\/innowise.com\/wp-content\/uploads\/2025\/04\/Rectangle-34624316.png\" class=\"attachment-full size-full wp-image-182085\" alt=\"Siarhei Sukhadolski\" srcset=\"https:\/\/innowise.com\/wp-content\/uploads\/2025\/04\/Rectangle-34624316.png 100w, https:\/\/innowise.com\/wp-content\/uploads\/2025\/04\/Rectangle-34624316-12x12.png 12w\" sizes=\"(max-width: 100px) 100vw, 100px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-fb0cb0f e-con-full e-flex e-con e-child\" data-id=\"fb0cb0f\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-8720c33 e-con-full e-flex e-con e-child\" data-id=\"8720c33\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e55dd33 no-text-decoration elementor-widget elementor-widget-heading\" data-id=\"e55dd33\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-heading-title elementor-size-default\"><a href=\"\/authors\/siarhei-sukhadolski\/\">Siarhei Sukhadolski<\/a><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-609aa5e elementor-widget elementor-widget-image\" data-id=\"609aa5e\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.linkedin.com\/in\/sergey-sukhodolskiy\/\" target=\"_blank\">\n\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"32\" height=\"33\" src=\"https:\/\/innowise.com\/wp-content\/uploads\/2025\/04\/Social-icons-1.svg\" class=\"attachment-full size-full wp-image-181902\" alt=\"Linkedin icon\" \/>\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-38f24e8 elementor-widget elementor-widget-text-editor\" data-id=\"38f24e8\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Chief Delivery Officer &amp; Head of Competence Center<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-32bd616 e-con-full e-flex e-con e-child\" data-id=\"32bd616\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-496f3a9 text4String elementor-widget elementor-widget-text-editor\" data-id=\"496f3a9\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Siarhei leads our FinTech direction with deep industry knowledge and a clear view of where digital finance is heading. He helps clients navigate complex regulations and technical choices, shaping solutions that are not just secure \u2014 but built for growth.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a496bec readMore elementor-widget elementor-widget-heading\" data-id=\"a496bec\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><a href=\"\/authors\/siarhei-sukhadolski\/\">Read more<\/a><\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0b7f46c table-content-container stickyWrapper72 e-con-full e-flex e-con e-child\" data-id=\"0b7f46c\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-c64ce58 e-con-full stickyTable e-flex e-con e-child\" data-id=\"c64ce58\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-ef974aa author-block e-con-full e-flex e-con e-child\" data-id=\"ef974aa\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7c20a8a ddcv elementor-widget elementor-widget-html\" data-id=\"7c20a8a\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<style>\r\n  .article-description > .e-con-inner {\r\n    align-items: baseline !important;\r\n  }\r\n\r\n  .stickyWrapper72 {\r\n    position: sticky;\r\n    top: 132px;\r\n    bottom: auto;\r\n  }\r\n<\/style>\r\n\r\n<script>\r\n  document.addEventListener(\"DOMContentLoaded\", () => {\r\n    const headerElement = document.querySelector(\".new-menu\");\r\n\r\n    const stickyElement = document.querySelector(\".stickyWrapper72\");\r\n\r\n    const headerElementH = headerElement.clientHeight;\r\n\r\n    stickyElement.style.top = headerElementH + 60 + \"px\";\r\n  });\r\n<\/script>\r\n\r\n<div class=\"toc-wrapper\">\r\n  <h4 class=\"toc-title\">Table of contents<\/h4>\r\n  <div class=\"toc toc-2\"><\/div>\r\n<\/div>\r\n\r\n<script>\r\n  const LINKS = {\r\n    \"Unleashing the power of .NET 8\": \"gggggg\",\r\n    \"Revamping legacy systems: unlocking business potential through software modernization\":\r\n      \"hello\",\r\n  };\r\n\r\n  const OFFSET = 70;\r\n  const PADDING_BOTTOM_FOR_SCROLL = 100;\r\n  let headerList = [];\r\n  let allLinks = [];\r\n\r\n  let ticking = false;\r\n\r\n  const createList = () => {\r\n    console.log(\"create\");\r\n\r\n    const tocTarget = document.querySelector(\".toc.toc-2\");\r\n    const toc = document.createElement(\"ul\");\r\n\r\n    headerList = [...document.querySelectorAll(\"h2\")];\r\n\r\n    headerList = headerList.slice(0, -3);\r\n\r\n    headerList.forEach((header, index) => {\r\n      const headerId = header.getAttribute(\"id\");\r\n      const headerText =\r\n        header.dataset.title && header.dataset.title !== \"\"\r\n          ? header.dataset.title\r\n          : header.textContent;\r\n\r\n      const headerTocText = header.dataset.title;\r\n\r\n      const idFromText =\r\n        !headerId || headerId === \"\"\r\n          ? headerText\r\n              .toLowerCase()\r\n              .replace(\/[^\\w ]+\/g, \"\")\r\n              .replace(\/ +\/g, \"-\")\r\n          : headerId;\r\n\r\n      const newListItem = document.createElement(\"li\");\r\n      const newLink = document.createElement(\"a\");\r\n      newLink.setAttribute(\"href\", \"#\" + idFromText);\r\n      newLink.textContent = LINKS[headerText] || headerText;\r\n\r\n      newLink.addEventListener(\"click\", (e) => {\r\n        e.preventDefault();\r\n        const y =\r\n          header.getBoundingClientRect().top +\r\n          window.pageYOffset -\r\n          PADDING_BOTTOM_FOR_SCROLL -\r\n          OFFSET;\r\n        ticking = true;\r\n        window.scrollTo({ top: y, behavior: \"smooth\" });\r\n\r\n        setTimeout(() => {\r\n          ticking = false;\r\n        }, 500);\r\n      });\r\n\r\n      newListItem.appendChild(newLink);\r\n      toc.appendChild(newListItem);\r\n    });\r\n    tocTarget.appendChild(toc);\r\n    allLinks = Array.from(\r\n      document.querySelector(\".toc.toc-2\").querySelectorAll(\"ul li\"),\r\n    );\r\n  };\r\n\r\n  const setContainerHeight = () => {\r\n    const windowHeight = window.innerHeight;\r\n    const tocContainer = document.querySelector(\".ddcv\");\r\n\r\n    tocContainer.style.maxHeight = \"calc(100vh - 230px)\";\r\n    tocContainer.style.minHeight = \"200px\";\r\n  };\r\n\r\n  const checkScroll = () => {\r\n    const windowHeight = window.innerHeight;\r\n    const scrollTop = window.scrollY || document.documentElement.scrollTop;\r\n\r\n    let selectedHeaderIndex = -1;\r\n\r\n    headerList.forEach((header, index) => {\r\n      const posTop = header.getBoundingClientRect().top;\r\n\r\n      const isInViewport = posTop + elem.clientHeight <= window.innerHeight;\r\n\r\n      if (isInViewport) {\r\n        selectedHeaderIndex = index;\r\n      }\r\n    });\r\n\r\n    allLinks.forEach((link, i) => {\r\n      if (i === selectedHeaderIndex) {\r\n        link.classList.remove(\"pre-active\");\r\n        link.classList.add(\"active\");\r\n      }\r\n      if (i < selectedHeaderIndex) {\r\n        link.classList.add(\"pre-active\");\r\n        link.classList.remove(\"active\");\r\n      }\r\n      if (i > selectedHeaderIndex) {\r\n        link.classList.remove(\"pre-active\");\r\n        link.classList.remove(\"active\");\r\n      }\r\n    });\r\n  };\r\n\r\n  const loadAllImages = () => {\r\n    const images = document.getElementsByTagName(\"img\");\r\n\r\n    for (let i = 0; i < images.length; i++) {\r\n      const img = images[i];\r\n      const src = img.getAttribute(\"data-src\") || img.src;\r\n      img.src = src;\r\n    }\r\n  };\r\n\r\n  loadAllImages();\r\n\r\n  document.addEventListener(\"DOMContentLoaded\", () => {\r\n    setTimeout(() => {\r\n      createList();\r\n      setContainerHeight();\r\n      checkScroll();\r\n\r\n      document.addEventListener(\"scroll\", (event) => {\r\n        if (!ticking) {\r\n          checkScroll();\r\n        }\r\n      });\r\n    }, 300);\r\n  });\r\n<\/script>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-eab1d6c e-flex e-con-boxed e-con e-parent\" data-id=\"eab1d6c\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-87ab0d5 elementor-widget elementor-widget-shortcode\" data-id=\"87ab0d5\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-shortcode\">\n<div class=\"wpcf7 no-js\" id=\"wpcf7-f100240-o1\" lang=\"en-US\" dir=\"ltr\" data-wpcf7-id=\"100240\">\n<div class=\"screen-reader-response\"><p role=\"status\" aria-live=\"polite\" aria-atomic=\"true\"><\/p> <ul><\/ul><\/div>\n<form action=\"\/sv\/wp-json\/wp\/v2\/posts\/195303#wpcf7-f100240-o1\" method=\"post\" class=\"wpcf7-form init\" aria-label=\"Contact form\" enctype=\"multipart\/form-data\" novalidate=\"novalidate\" data-status=\"init\">\n<fieldset class=\"hidden-fields-container\"><input type=\"hidden\" name=\"_wpcf7\" value=\"100240\" \/><input type=\"hidden\" name=\"_wpcf7_version\" value=\"6.1\" \/><input type=\"hidden\" name=\"_wpcf7_locale\" value=\"en_US\" \/><input type=\"hidden\" name=\"_wpcf7_unit_tag\" value=\"wpcf7-f100240-o1\" \/><input type=\"hidden\" name=\"_wpcf7_container_post\" value=\"0\" \/><input type=\"hidden\" name=\"_wpcf7_posted_data_hash\" value=\"\" \/><input type=\"hidden\" name=\"_wpcf7_recaptcha_response\" value=\"\" \/>\n<\/fieldset>\n<style>\n#form-templates .contact__info {\n  background-color: #f4f4f4;\n  padding: 70px 44px 70px 50px;\n  position: relative;\n  max-width: 540px;\n  width: 100%;\nborder: 1px solid #AEB1B7;\n}\n\n#form-templates .contact__info-background {\n  z-index: -1;\n  position: absolute;\n  top: 20px;\n  left: 20px;\n  width: 100%;\n  height: 100%;\n  border: 1px dashed #ef4557;\n}\n\n\n#form-templates .new-container{\ndisplay: flex;\njustify-content: space-between;\nflex-wrap: wrap;\n}\n\n\n#form-templates{\npadding: 100px 15px 100px 15px;        \n}\n\n#form-templates .contact__info-heading {\n  font-family: 'Sora' !important;\n  font-style: normal !important;\n  font-weight: 400 !important;\n  font-size: 36px !important;\n  line-height: 46px !important;\n  color: #2E2E2E !important;\n   margin-bottom: 60px !important;\n\n}\n\n\n#form-templates .message label{\ncolor: #585858 !important;   \n}\n\n.elementor-widget-container.form-template h2,.elementor-widget-container.form-template h1{\n font-size: 60px !important;\n  line-height: 70px !important;\n  font-family: \"Sora\", Sans-serif;\n  font-weight: 400;\n  margin: 0;  \n  margin-bottom: 20px;\n}\n\n\n\n\n.elementor-widget-container.form-template p{\n  font-family: \"Karla\", Sans-serif;\n  font-size: 22px;\n  font-weight: 400;\n  line-height: 28px;\n  color: var( --e-global-color-primary );\n  max-width: 700px;\n  margin: 0; \n  margin-bottom: 40px;\n} \n  \n\n\n.new-container #spinner{\nwidth: 50%;\nmax-width: 700px;\n}\n\n\n#form-templates .new-container #spinner div.contact-us__wrapper:nth-child(6){\ngap:30px; \n    \n}\n\n\n#form-templates .contact__info-heading {\n  margin-bottom: 67px;\n  font-size: 36px;\n  font-family: karla;\n  color:  #2E2E2E;\n\n  line-height: 49px;\n}\n\n#form-templates .contact__info-steps {\n  display: flex;\n  flex-direction: column;\n  max-width: 425x;\n  row-gap: 20px;\n  border-left: 1px solid #2e2e2e;\n}\n\n#form-templates .contact__info-block {\n  position: relative;\n  padding-left: 45px;\n}\n\n#form-templates .contact__info-block:last-child {\n  box-shadow: -1px 0 0 1px #f4f4f4;\n}\n\n#form-templates .contact__info-step {\n  position: absolute;\n  border: 1px solid #2e2e2e;\n  width: 40px;\n  height: 40px;\n  display: flex;\n  align-items: center;\n  justify-content: center;\n  border-radius: 20px;\n  left: -20px;\n  top: -8px;\n  background-color: #F4F4F4;\n  color:  #2E2E2E;\n\nfont-family: Karla;\nfont-weight: 700;\nfont-size: 18px;\nline-height: 28px;\n\n}\n\n.elementor-widget-global .contact__info-step {\n        color:  #2E2E2E;\n}\n\n#form-templates .contact__info-text {\n  margin: 0;\n  font-size: 16px;\n  line-height: 26px;\n  color: #2E2E2E;\n  font-family: karla;\n\n  width: 100%;\n}\n\n\n#form-templates .contact-us__send{\nflex-shrink: 0;\nmargin-top:0;\n}\n\n\n\n@media screen and (max-width: 1279px) {\n    .new-container #spinner{\n        width: 100%;\n        max-width:100%;\n        margin-bottom:40px;\n    }\n    \n\n    .new-container .contact__info {\n        max-width: 700px !important;\n    }\n    \n}\n\n\n@media screen and (max-width: 1279px) {\n#form-templates{\npadding: 60px 15px 70px 15px;     \n}\n}\n\n\n\n@media screen and (max-width: 767px) {\n\n#form-templates .new-container #spinner div.contact-us__wrapper:nth-child(6){\ngap:20px; \n \n}\n\n\n  #form-templates .contact__info {\n    padding: 20px 20px 40px 40px;\n    margin: 0 auto;\n  }\n\n\n#form-templates{\npadding: 40px 15px 50px 15px;  \n    \n}\n\n  \n   .new-container #spinner{\n       \n    margin-bottom:30px;   \n   }\n   \n   \n   .elementor-widget-container.form-template h2,.elementor-widget-container.form-template h1{\n   font-size: 32px !important;\n    line-height: 42px !important;    \n   }\n   \n   \n   .elementor-widget-container.form-template p{\n       \n    font-size: 16px;\n    line-height: 20px;  \n    margin-bottom: 30px;\n \n       \n   }\n   \n   #form-templates .contact__info-heading{\n   font-size: 24px !important;\n    line-height: 49px !important;    \n       \n   }\n   \n\n.mailToContact{\nmargin-top: 10px !important;        \n}\n   \n\n  #form-templates .contact__info-heading {\n    font-size: 24px;\n    margin-bottom: 37px;\n  }\n\n  #form-templates .contact__info-background {\n    top: 10px;\n    left: 10px;\n  }\n\n  #form-templates .contact__info-text {\n    font-size: 12px;\n    line-height: 20px;\n  }\n  \n  \n  #form-templates .contact__info-heading {\n   margin-bottom: 35px !important;\n\n}\n\n}\n\n@media (max-width: 767px) {\n    .mailToContact {\n        max-width: 100%;\n    }\n}\n<\/style>\n\n<script>\nwindow.addEventListener('hashchange',function(e){if(window.history.pushState){window.history.pushState('','\/',window.location.pathname)}else{window.location.hash=''}})\n<\/script>\n\n\n<div id=\"form-templates\">\n<div class=\"elementor-widget-container form-template\">\n<a name=\"contact-form\"><\/a>\n<h2>Contact us<\/h2>\n<p><a id=\"calendlylink\" style=\"color: #c63031; border-bottom: 1px solid #c63031; padding: 0;\">Book a call<\/a> or fill out the form below and we\u2019ll get back to you once we\u2019ve processed your request.<\/p>\n<\/div>\n\n<div class=\"new-container\">\n\n\n<div class=\"contact-us__main\" id=\"spinner\" data-no-defer=\"1\">\n\n<div class=\"contact-us__wrapper\">\n\n<div class=\"name\">\n<label>Name<\/label>\n<span class=\"wpcf7-form-control-wrap\" data-name=\"field_name\"><input size=\"40\" maxlength=\"400\" class=\"wpcf7-form-control wpcf7-text wpcf7-validates-as-required contact-us__name\" id=\"contact-name\" aria-required=\"true\" aria-invalid=\"false\" placeholder=\"Name*\" value=\"\" type=\"text\" name=\"field_name\" \/><\/span>\n<\/div>\n\n<div class=\"company\">\n<label>Company<\/label>\n<span class=\"wpcf7-form-control-wrap\" data-name=\"company\"><input size=\"40\" maxlength=\"400\" class=\"wpcf7-form-control wpcf7-text wpcf7-validates-as-required contact-us__company\" id=\"contact-company\" aria-required=\"true\" aria-invalid=\"false\" placeholder=\"Company*\" value=\"\" type=\"text\" name=\"company\" \/><\/span>\n<\/div>\n\n<\/div>\n\n<div class=\"contact-us__wrapper\">\n\n<div class=\"email\">\n<label>Email<\/label>\n<span class=\"wpcf7-form-control-wrap\" data-name=\"email\"><input size=\"40\" maxlength=\"400\" class=\"wpcf7-form-control wpcf7-email wpcf7-validates-as-required wpcf7-text wpcf7-validates-as-email contact-us__email\" id=\"contact-email\" aria-required=\"true\" aria-invalid=\"false\" placeholder=\"Corporate email*\" value=\"\" type=\"email\" name=\"email\" \/><\/span>\n<\/div>\n\n<div class=\"phone\">\n<label>Phone<\/label>\n<span class=\"wpcf7-form-control-wrap\" data-name=\"tel\"><input size=\"40\" maxlength=\"400\" class=\"wpcf7-form-control wpcf7-tel wpcf7-validates-as-required wpcf7-text wpcf7-validates-as-tel contact-us__phone\" id=\"contact-phone\" aria-required=\"true\" aria-invalid=\"false\" placeholder=\"Phone*\" value=\"\" type=\"tel\" name=\"tel\" \/><\/span>\n<\/div>\n\n<\/div>\n<div class=\"contact-us__wrapper subj\">\n<span class=\"wpcf7-form-control-wrap\" data-name=\"your-recipient\"><select class=\"wpcf7-form-control wpcf7-select\" id=\"form-field-subj_js\" aria-invalid=\"false\" name=\"your-recipient\"><option value=\"\">Subject*<\/option><option value=\"IT staff augmentation\">IT staff augmentation<\/option><option value=\"Turnkey product development\">Turnkey product development<\/option><option value=\"Support and enhancement\">Support and enhancement<\/option><option value=\"Careers\">Careers<\/option><option value=\"Other\">Other<\/option><\/select><\/span>\n\n<span class=\"wpcf7-form-control-wrap\" data-name=\"form-field-budget_js\"><select class=\"wpcf7-form-control wpcf7-select\" id=\"form-field-budget_js\" aria-invalid=\"false\" name=\"form-field-budget_js\"><option value=\"\">Project budget<\/option><option value=\"Under $15K\">Under $15K<\/option><option value=\"$15K-$30K\">$15K-$30K<\/option><option value=\"$30K-$100K\">$30K-$100K<\/option><option value=\"$100K-$250K\">$100K-$250K<\/option><option value=\"$250K-$500K\">$250K-$500K<\/option><option value=\"More than $500K\">More than $500K<\/option><\/select><\/span>\n\n<\/div>\n\n\n<div class=\"message\">\n<label>Message<\/label>\n<span class=\"wpcf7-form-control-wrap\" data-name=\"message\"><textarea cols=\"40\" rows=\"1\" maxlength=\"2000\" class=\"wpcf7-form-control wpcf7-textarea wpcf7-validates-as-required contact-us__message\" id=\"contact-message\" aria-required=\"true\" aria-invalid=\"false\" placeholder=\"Describe your needs in detail*\" name=\"message\"><\/textarea><\/span>\n<\/div>\n\n<div class=\"atvoice-wrap\">\n\n<div class=\"voice-wrap\">\n<span id=\"voice-mut\" class=\"voicetext\">Send us a voice message<\/span>\n         <div class=\"qc_voice_audio_wrapper\">\n            <div class=\"qc_voice_audio_container\">\n                <div class=\"qc_voice_audio_upload_main\" id=\"qc_audio_main\">\n                    <a class=\"qc_audio_record_button\" id=\"qc_audio_record\" href=\"#\" aria-label=\"Record an audio message\">\n                        <span class=\"dashicons dashicons-microphone\"><\/span> \u00a0<\/a> \n                <\/div>\n\n                <div class=\"qc_voice_audio_recorder\" id=\"qc_audio_recorder\" style=\"display:none\">\n\n                <\/div>\n                <div class=\"qc_voice_audio_display\" id=\"qc_audio_display\"  style=\"display:none\">\n                    <audio id=\"qc-audio\" controls src=\"\"><\/audio>\n                    <span title=\"Remove and back to main upload screen.\" class=\"qc_audio_remove_button dashicons dashicons-trash\"><\/span>\n                <\/div>\n            <\/div>\n            <input type=\"hidden\" value=\"\" name=\"qcwpvoicemessage\" id=\"qc_audio_url\" \/>\n        <\/div>\n        \n<\/div>\n\n\n<div class=\"attach-wrap\">\n<span class=\"voicetext\">Attach documents<\/span>\n\n<div class='attachment'>\n\n<div class=\"downloaded\">\n<span><\/span>\n<div class=\"deleteFile\"><\/div>\n<\/div>\n\n<div class=\"attachmentButton\" onclick=\"(function cl(e){if(e.target.nodeName == 'DIV'){e.target.parentNode.children[1].children[0].click(); }})(arguments[0]);\">\n\n<div class=\"innerText\">Upload file<\/div>\n<span class=\"wpcf7-form-control-wrap\" data-name=\"att-files\"><input size=\"40\" class=\"wpcf7-form-control wpcf7-file\" accept=\".jpg,.png,.jpeg,.pdf\" aria-invalid=\"false\" type=\"file\" name=\"att-files\" \/><\/span>\n\n<div class=\"tip\" onclick=\"event.stopPropagation()\">\n<p>You can attach 1 file up to 2MB. Valid file formats: pdf, jpg, jpeg, png.<\/p>\n<\/div>\n\n<\/div>\n\n<\/div>\n\n<\/div>\n\n\n\n<\/div>\n\n<div class=\"contact-us__wrapper\"> \n<p class=\"pp\">By clicking Send, you consent to Innowise processing your personal data per our<a href=\"\/privacy-notice\/\"> Privacy Policy <\/a>to provide you with relevant information. By submitting your phone number, you agree that we may contact you via voice calls, SMS, and messaging apps. Calling, message, and data rates may apply.<\/p>\n\n<input class=\"wpcf7-form-control wpcf7-hidden\" value=\"\" type=\"hidden\" name=\"scoring_point\" \/>\n<input class=\"wpcf7-form-control wpcf7-hidden\" value=\"\" type=\"hidden\" name=\"utmCampaign\" \/>\n<input class=\"wpcf7-form-control wpcf7-hidden\" value=\"\" type=\"hidden\" name=\"utmContent\" \/>\n<input class=\"wpcf7-form-control wpcf7-hidden\" value=\"\" type=\"hidden\" name=\"utmMedium\" \/>\n<input class=\"wpcf7-form-control wpcf7-hidden\" value=\"\" type=\"hidden\" name=\"utmSource\" \/>\n<input class=\"wpcf7-form-control wpcf7-hidden\" value=\"\" type=\"hidden\" name=\"utmTerm\" \/>\n<input class=\"wpcf7-form-control wpcf7-hidden\" value=\"\" type=\"hidden\" name=\"location\" \/>\n<input class=\"wpcf7-form-control wpcf7-hidden\" value=\"\" type=\"hidden\" name=\"city\" \/>\n<input class=\"wpcf7-form-control wpcf7-hidden\" value=\"\" type=\"hidden\" name=\"ip\" \/>\n<input class=\"wpcf7-form-control wpcf7-hidden\" value=\"\" type=\"hidden\" name=\"Summ\" \/>\n<input class=\"wpcf7-form-control wpcf7-hidden\" value=\"\" type=\"hidden\" name=\"gclid\" \/>\n<input class=\"wpcf7-form-control wpcf7-hidden\" value=\"\" type=\"hidden\" name=\"rating\" \/>\n<input class=\"wpcf7-form-control wpcf7-hidden\" value=\"\" type=\"hidden\" name=\"urlCompany\" \/>\n<input class=\"wpcf7-form-control wpcf7-hidden\" value=\"\" type=\"hidden\" name=\"urlWithParams\" \/>\n<input class=\"wpcf7-form-control wpcf7-hidden\" value=\"\" type=\"hidden\" name=\"audioMessageLink\" \/>\n<input class=\"wpcf7-form-control wpcf7-submit has-spinner contact-us__send\" id=\"contact-send-button\" type=\"submit\" value=\"Send\" \/>\n<\/div>\n\n<div class='mailToContact'>You can also send us your request <\/br>to <a href=\"mailto:contact@innowise.com\">contact@innowise.com<\/a><\/div>\n\n<\/div>\n\n<div class=\"elementor-widget-container\" style=\"z-index:1;\">\n<div class=\"contact__info\">\n  <div class=\"contact__info-background\"><\/div>\n  <div class=\"contact__info-heading\">What happens next?<\/div>\n  <div class=\"contact__info-steps\">\n\n    <div class=\"contact__info-block\">\n      <div class=\"contact__info-step\">1<\/div>\n      <p class=\"contact__info-text\">Once we\u2019ve received and processed your request, we\u2019ll get back to you to detail your\n        project needs and sign an NDA to ensure confidentiality.<\/p>\n    <\/div>\n\n    <div class=\"contact__info-block\">\n      <div class=\"contact__info-step\">2<\/div>\n      <p class=\"contact__info-text\">After examining your wants, needs, and expectations, our team will devise a project\n        proposal with the scope of work, team size, time, and cost estimates.<\/p>\n    <\/div>\n\n    <div class=\"contact__info-block\">\n      <div class=\"contact__info-step\">3<\/div>\n      <p class=\"contact__info-text\">We\u2019ll arrange a meeting with you to discuss the offer and nail down the details.<\/p>\n    <\/div>\n\n    <div class=\"contact__info-block\">\n      <div class=\"contact__info-step\">4<\/div>\n      <p class=\"contact__info-text\">Finally, we\u2019ll sign a contract and start working on your project right away.<\/p>\n    <\/div>\n  <\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\n\n<\/div>\n\n<\/div><div class=\"wpcf7-response-output\" aria-hidden=\"true\"><\/div>\n<\/form>\n<\/div>\n<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"related_content_blog_container\">[related_content_list]<\/div><script>\n            jQuery( document ).ready(function($) {\n            var parentSection = $('[data-elementor-type=\"wp-page\"]');\n            if($('[data-elementor-type=\"wp-post\"]').length){\n                var parentSection = $('[data-elementor-type=\"wp-post\"]');\n            }\n            \n                parentSection.children().last().before($('.related_content_blog_container'));\n            });\n            <\/script><div class=\"other_services_container\">[need_other_services_v2]<\/div><script>\n                    jQuery( document ).ready(function($) {\n                        var parentSection = $('[data-elementor-type=\"wp-page\"]');\n                        if($('[data-elementor-type=\"wp-post\"]').length){\n                            var parentSection = $('[data-elementor-type=\"wp-post\"]');\n                        }\n                        \n                        console.log(parentSection);\n                        parentSection.children().last().before($('.other_services_container'));\n                        var sections = parentSection.find('.net-15.dt-16');\n                        for(var i = 0; 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AI credit scoring systems self-update with new data, [&hellip;]<\/p>\n","protected":false},"author":159,"featured_media":195304,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"elementor_header_footer","format":"standard","meta":{"_acf_changed":true,"inline_featured_image":false,"footnotes":""},"categories":[128,1245],"class_list":["post-195303","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","category-siarhei_sukhadolski_author","tag-ai-ml","tag-banking","tag-big-data","tag-fintech"],"acf":[],"_links":{"self":[{"href":"https:\/\/innowise.com\/sv\/wp-json\/wp\/v2\/posts\/195303","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/innowise.com\/sv\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/innowise.com\/sv\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/innowise.com\/sv\/wp-json\/wp\/v2\/users\/159"}],"replies":[{"embeddable":true,"href":"https:\/\/innowise.com\/sv\/wp-json\/wp\/v2\/comments?post=195303"}],"version-history":[{"count":0,"href":"https:\/\/innowise.com\/sv\/wp-json\/wp\/v2\/posts\/195303\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/innowise.com\/sv\/wp-json\/wp\/v2\/media\/195304"}],"wp:attachment":[{"href":"https:\/\/innowise.com\/sv\/wp-json\/wp\/v2\/media?parent=195303"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/innowise.com\/sv\/wp-json\/wp\/v2\/categories?post=195303"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/innowise.com\/sv\/wp-json\/wp\/v2\/tags?post=195303"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}