Curate the sources
Identify authoritative documents, remove duplicates, assign content owners, and define when information should be reviewed.
AI knowledge
AI knowledge systems grounded in your documents.
Help your team find answers in approved documents with an AI knowledge assistant. Plan permission-aware retrieval, source citations, and content review.
Build the foundations for retrieval-augmented generation.
Respect access
Design retrieval around user permissions so a search result does not expose information the requester should not see.
Show the evidence
Link answers to retrieved passages and make missing, conflicting, or outdated information visible instead of filling gaps.
Retrieval helps. It does not guarantee truth.
Retrieval-augmented generation gives a model relevant material to work with. It can still retrieve the wrong document, overlook an important exception, or summarize a source incorrectly. Source links are a starting point for verification, not proof by themselves.
We propose testing real questions against expected evidence, including questions the system should refuse to answer. Document updates, deletion, and permissions changes need a defined path into the search index.
- Begin with a small, well-owned knowledge collection.
- Test answer quality and the relevance of supporting sources.
- Include permission-boundary and no-answer tests.
- Plan content refresh, feedback review, and index deletion.
Make your team’s knowledge easier to use.
Tell us about your goals, workflow, and constraints. Send an enquiry and we’ll reply by email to plan a sensible first step.