What makes an AI workflow worth automating?

Start with a deliverable

A useful AI pilot starts with a task that can be completed, checked and measured. Examples include preparing an analysis package, organizing source documents or identifying exceptions.

Establish the baseline

Capture time, quality, volume and review effort before introducing automation. Without a baseline, the team cannot distinguish a compelling demo from a meaningful operational improvement.

Design for exceptions

An incomplete data source should produce an inconclusive or error state, not a false all-clear. A qualified reviewer should be able to trace findings to their inputs.

Measure the outcome

Compare the pilot with the original process. Only then decide whether to scale, reconfigure or stop.

Demonstration draft only. Not a legal, accounting or audit opinion. Sources and publication approval are pending.