Good starting tasks
Examples include triaging incoming requests, finding answers in an approved knowledge base and drafting a summary of a document for a person to review. Each needs clear input boundaries.
- Document summaries with source links
- First-pass classification for review
- Internal knowledge search
- Draft replies approved by a team member
Where to be careful
Do not assume generated answers are facts. Sensitive data, medical or legal decisions and actions affecting customers need stronger safeguards and domain-specific expertise.
If the task follows precise rules and has structured data, a normal automation may be more predictable and cheaper.
Evaluate before scaling
Use representative examples including failures. Agree what counts as a useful response and test whether the review step actually fits daily work.
Questions worth asking
Can AI make decisions without a person?
Some low-risk routing can be automated, but consequential decisions need appropriate checks, accountability and human oversight.
Advice here is general; the appropriate implementation depends on the people, systems and constraints involved.