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About us
TechnologiesIndustriesPortfolioAutomate the conversations that save you money. At Innowise, we define value-rich dialogues to move from humans to AI and deliver a viable, ready-to-use roadmap, helping you reduce cost per contact by 5–10x.
Automate the conversations that save you money. At Innowise, we define value-rich dialogues to move from humans to AI and deliver a viable, ready-to-use roadmap, helping you reduce cost per contact by 5–10x.
By implementing conversational AI in your product, embedding it into your processes, or integrating it into your business culture, you achieve results you can put a number on.
Defining requirements for an AI assistant’s tasks, users, and success metrics (i.e., accuracy, response time, cost saved).
LLM or SLM is chosen based on latency and data privacy needs, with hosting either on the client’s infrastructure or as a managed cloud service.
Our team hooks up enterprise data (RAG) and enables API integrations to external systems. We implement multi‑step logic and multi‑agent collaboration when needed.
After running a pilot, we gather feedback on performance and user engagement to improve prompts, retrieval quality, and model settings.
Integrating AI into channels, including web chat, IM apps, and voice, with monitoring and auto‑scaling in place to address production load.
Mistral
Llama
Phi
Gemma
Lightweight models
Multimodal pipelines
Azure OpenAI
Amazon Bedrock Agents
Amazon Q
Google Vertex AI
Claude AI
Microsoft Copilot Agent
LangSmith Hub
Whisper
ElevenLabs
Azure AI Speech
Google Cloud Speech-to-Text
Microsoft AutoGen
CrewAI
Hermes Agent
Pinecone
Weaviate
Chroma
Redis
RAGAS
LangSmith Hub
Mistral
Llama
Phi
Gemma
Lightweight models
Multimodal pipelines
Azure OpenAI
Amazon Bedrock Agents
Amazon Q
Google Vertex AI
Claude AI
Microsoft Copilot Agent
LangSmith Hub
Whisper
ElevenLabs
Azure AI Speech
Google Cloud Speech-to-Text
Microsoft AutoGen
CrewAI
Hermes Agent
Pinecone
Weaviate
Chroma
Redis
RAGAS
LangSmith Hub
We analyze your goals and create a custom roadmap for precise AI implementation.
It covers the strategy and planning behind AI systems that communicate with users. We guide you through the entire development, from selecting platforms to integrating AI with existing software.
There are three signs of it. First, if current customer service costs are going up while satisfaction is going down. Second, if existing chat tools struggle with sophisticated requests. Third, if internal teams can build only simple FAQ bots and need help going beyond.
Pretty much anything tailored to your needs. We implement customer support bots that process returns and refunds, voice agents that assist with call center password resets, internal HR chatbots that process employee leave requests, or sales bots that qualify leads via your website or WhatsApp.
That's a big part of what we do. Using APIs, we connect your AI to systems like ERP, Zendesk, or Salesforce. That means your chatbot can check order history, create support tickets, or access customer data in real time.
A basic FAQ bot would take 2 to 12 weeks to implement. A more advanced assistant (handling bookings, account updates, etc.) typically takes 6–12 weeks. As part of the consulting phase, you’ll receive a more precise timeline.
Absolutely. We monitor conversations for common failures, retrain the system on misunderstood language, and improve how it responds using real user data.
Conversational AI has shown what it can do: it works, and works for business. Now is the time to scale it out and reap benefits, and the only thing most companies miss is structure. At Innowise, we deliver exactly this, a framework for viable and financially sustainable AI implementation that will enable you to play the big game with AI, enterprise-wide.