AI & Agentic AI
AI copilots embedded where the work already happens
Assistance inside the application your team already uses, with their context loaded — not another tab to remember.

A copilot's advantage over a general chatbot is context. It already knows which customer, ticket, claim or order is on screen, what the user's role permits, and which actions are available. That context is what makes the difference between a novelty and a tool people keep using.
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We build copilots into existing enterprise applications and into the custom applications we develop, with the same discipline as any other feature: role-based permissions, audited actions, and interface design that keeps the human in charge.
Adoption is a design problem as much as a model problem. We instrument usage from day one, because a copilot nobody opens has no value regardless of its accuracy.
What you get
- Assistance at the point of work, not in a separate tool
- Actions taken with confirmation and an audit trail
- Measured adoption rather than assumed value
What's included
In-context assistance
In-app actions
Grounded answers
Role-aware guardrails
Embedded delivery
Adoption instrumentation
Where this applies
- Staff switching between several screens to complete one task
- New joiners needing guidance that currently comes from colleagues
- Applications rich in data but hard to interrogate
Technologies
- OpenAI GPT models
- LangChain
- Semantic Kernel
- React
- FastAPI
- Python
Related capabilities
Ready to talk about AI Copilots?
Tell us about the process or problem, and we'll tell you plainly whether this is the right starting point.
Or reach us directly at info@ontogenesistechnologies.com · +91-9999101853
