AI and business knowledge
The knowledge that runs a business includes policies, product facts, supplier terms, reports, exceptions, and the judgement people apply when the normal process does not fit. AI can make that knowledge more accessible, but only when the source and ownership are clear.
( The Detail )
Capture knowledge without pretending it is all certain
Separate verified facts, agreed rules, working assumptions, and unresolved questions. This keeps a knowledge system useful and prevents an AI assistant from presenting an old or informal answer as if it were authoritative.
How to approach it
Begin with the decision rather than the tool. Name the recurring judgement this affects, the information it depends on, and the person accountable for acting on the result. That framing keeps the first build small enough to inspect and useful enough to matter.
Keep a human review point in the loop until the quality and the failure modes are understood. A system that shows its working - what it drew on, where it is uncertain, and what it deliberately left alone - is one a business can keep running after the initial build.
( Next Step )
Start small enough to review, but on a workflow important enough to show whether a better system is worth building.