Safe AI use for professional services
Professional services teams can use AI for research preparation, retrieval, drafting, and internal workflow support. The professional remains responsible for advice, client commitments, confidentiality, and the judgement required by the engagement.
( The Detail )
Set the rule before client material enters a workflow
Decide what client information can be used, which approved systems may handle it, how outputs are reviewed, and how a team member raises a concern. Clear rules are especially important where a polished draft could be mistaken for verified professional work.
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.