Consultants considering AI tools should begin with a specific task and a review process. A faster draft is useful only if its accuracy, confidentiality and relevance can be checked before the work reaches a client.
Five workflows to evaluate
- Drafting and synthesis: test whether a tool can organize approved material into a useful first draft. Compare it with the source and check for omitted qualifications or invented details.
- Research support: use generated summaries as a starting point for verification. Open the cited sources, check dates and confirm that each source actually supports the claim.
- Knowledge organization: test how notes, decisions and open questions are stored and retrieved. Keep an accountable owner for the record and restrict access to client material.
- Presentation preparation: assess whether a tool helps structure a message or format a draft. Check every chart, number and quotation, and verify that the final slides express the intended argument.
- Routine process automation: choose a limited, repeatable workflow with clear inputs and expected outputs. Include exception handling, approval points and a way to stop or reverse an erroneous action.
Choose using observed results
Compare a trial against the existing process using representative work. Measure the time spent reviewing and correcting outputs, not just the time needed to generate them. Examine integration requirements, current product terms, costs and data-handling arrangements before adoption.
Keep professional judgment with the team
Do not put confidential material into a tool without authorization and an appropriate data-handling arrangement. Assign a reviewer and document important assumptions. A citation, fluent explanation or polished slide is not proof that the underlying content is correct.
Expand use only when the team can explain how the workflow works, how mistakes are detected and who remains responsible for the client deliverable.