Choose an initial AI use case by considering repetition, data suitability, the impact of mistakes and human review requirements.
Start with the task to improve rather than a product name. Not every repetitive activity needs AI; a simple rule or clearer process may be sufficient.
Choose a bounded task
Select a measurable part of the workflow, such as drafting a document or proposing an answer from approved information. Show sample inputs and expected outputs rather than requesting answers to everything.
Check data suitability
Confirm that information is current, sufficient and authorised for use. Assess where data is processed instead of casually transferring confidential documents to outside services.
Consider error impact
A draft-post mistake differs from an incorrect binding price. Define human approval and a stop or escalation route for consequential outputs.
Compare a small pilot
Measure correction effort as well as time saved. Reconsider scope if review takes longer than the original task. Include incomplete and difficult inputs before changing the wider workflow.