Your company's knowledge, answerable in one question.

By retrieving from your documents and showing the source with every answer, so a wrong answer is visible rather than plausible. The assistant is constrained to answer from retrieved passages instead of from general knowledge, and it is configured to say it does not know when nothing relevant is retrieved. Displaying the source passage matters as much as the retrieval itself, because it lets the reader verify in seconds.

RAG — retrieval-augmented generation — means the system looks up relevant passages in your documents first, then writes an answer using only what it found. In business terms it is the difference between an assistant that answers from your actual policy library and one that answers from whatever it absorbed during training. It is the standard approach for internal knowledge work because it keeps answers tied to documents you control and can update.

Then the assistant will confidently return out-of-date answers, which is why document readiness is assessed before we build. The data-readiness review in the Opportunity Roadmap looks at whether your documents are current, versioned and authoritative. Sometimes the honest recommendation is to fix the document set first — a retrieval system built over contradictory documents makes the contradictions faster to reach, not smaller.

Yes, and it must. Permissions are enforced at retrieval, so an employee only receives answers drawn from documents they are already entitled to read. Mapping those permissions is part of implementation, and access reviews are part of ongoing managed operations, because entitlements drift as people change roles.