Solutions
AI Assistants
Assistants that answer from approved sources and show their working.
Overview
AI assistants let people ask questions in natural language and receive answers drawn from governed knowledge and data. They can also trigger simple actions through approved tools.
We build assistants with retrieval, access control and evaluation as first-class features, so they can be trusted inside regulated environments.
Core components
Knowledge layer
Curated, permission-aware indexes of documents and records.
Conversation layer
Language model orchestration with structured responses and citations.
Action layer
Typed tools with limits and approvals.
Quality layer
Evaluation sets, feedback capture and dashboards.
How it flows
- 01
Scope
Choose users, sources and permitted actions.
- 02
Prototype
Build and test with a real question set.
- 03
Pilot
Release to a small group and collect feedback.
- 04
Expand
Add sources and channels as quality holds.
When it fits
- Employee help desks and policy search
- Customer-facing FAQ with strict sources
- Analyst copilots over governed data
Considerations
- Content ownership and freshness are critical
- Access permissions must follow the user
- Unsupported questions should be declined gracefully
Frequently asked questions
Bring us a decision you want to improve.
Tell us about the problem and the data you have. We will reply with a candid view of where we can help.