Business tasks worth evaluating for AI automation

Start with a repeatable task

A useful automation candidate has recognisable inputs, a clear output, and someone who can judge whether the result is correct. Begin with a task your team performs often enough to observe, such as preparing an internal summary or sorting incoming requests. Record how the work happens today before designing a replacement.

Workflows to examine

• Document intake: extract fields and send incomplete records to review.
• Internal knowledge search: retrieve approved sources and show where an answer came from.
• CRM administration: organise records, identify missing information, and prepare updates for approval.
• Support triage: classify requests and route them to the appropriate queue.
• Reporting preparation: assemble data and draft commentary that a responsible person checks.
• Meeting follow-up: turn approved notes into proposed tasks and actions.

Choose the boundary of automation

Separate collecting information, recommending an action, and executing it. A system may be suitable for drafting a reply before it is suitable for sending one. Define the tools and records it may access and the conditions that require human review.

Test the difficult cases

Use representative examples with incomplete inputs, conflicting records, unavailable services, and ambiguous requests. Compare the result with the existing process. Measure correction work as well as completion time; an automation that creates hidden rework may not improve the operation.

A practical starting point

Select one task, define acceptable output, establish a baseline, and run a limited pilot. Agree who reviews exceptions and how the workflow can be paused. Expand only after the team understands both its value and its failure modes.