AI Copilot Development Company

What is an AI copilot?

An AI copilot is a conversational assistant that is powered by the data available within your organization. This chatbot assists your employees in finding answers to their questions using the same data and documents that they have access to.

How is an AI copilot different from a chatbot?

A traditional chatbot can only respond to specific questions within a defined scope of scripted questions. They cannot respond to questions that require an understanding of complex, context-based data input. An AI copilot utilizes large language models and retrieval augmented generation technology to understand the complexities of the incoming request and provides a response pulled from actual internal knowledge databases.

What is RAG, and how does it improve AI copilot performance?

RAG stands for retrieval-augmented generation, and it is a method that uses various data sources to retrieve relevant data before generating a response. By using actual documents as the basis for the responses rather than just the general model, an AI copilot can deliver accurate answers supported by source attributions.

How does an AI copilot use our internal data?

An AI copilot catalogs your files, databases, and integrated systems into a vector database and then performs a semantic search looking for the most relevant information corresponding to the requested information. Your data stays within your infrastructure and is never used to train external models.

Can an AI copilot provide answers with sources?

Yes, and every response generated by the assistant will contain attribution to the file, and/or section used to respond. Employees will have a means by which they can authenticate the response and trace back to the source of the information. This is one of the foundational aspects of the RAG architecture we use on all projects.

Can the solution be integrated with our existing systems?

Yes, we provide connectors that allow for integration with Confluence, SharePoint, Jira, CRM, ERP, and file storage systems, and we provide a REST API to access copilot from any of your internal applications. The level of integration and access controls is determined during the architecture phase.

How do you ensure data security and access control?

We implement a role-based access control system that mimics your current permissions structure. This means that each employee has access only to the data that they are allowed to view. All data processing is done in compliance with security standards as detailed in your compliance guidelines and within your selected infrastructure.

How long does it take to develop and deploy a solution?

A focused AI copilot deployment typically starts within 4 weeks from the agreed-upon MVP with a limited scope or using a clean data set. Larger initiatives that have multiple backend systems, complex access control requirements, and require organization-wide rollout would take 3–5 months.

What factors affect the cost?

Cost factors can include several items, such as volume and complexity of data, number of systems connected, integration, levels of access control, and performance targets. We provide an estimate of potential costs after an initial scoping session at no charge.

Can an AI copilot be customized for our business?

Yes, each AI copilot that we create is customized to suit each individual customer's documents, workflows, terminology, and integration environment. There is also custom fine-tuning on proprietary data available to increase the level of accuracy for domain-specific applications.