AI is useful when it removes measurable work from a workflow that already exists. The hidden failure mode is review burden: the system saves five minutes and creates seven minutes of checking, exception handling, and cleanup.

Measure the workflow before choosing the model.

Good candidates happen often, use inputs the system can read reliably, and produce output a person or rule can check. If one of those conditions is weak, review work rises quickly.

A bad automation does not remove work. It moves the work into exception handling and cleanup.

Start with the baseline

Count monthly volume, handling time, error rate, and delay cost. Without those numbers, a time-saved claim is guesswork.

The best automation candidates are frequent and easy to verify.

Intake, routing, recurring reporting, knowledge retrieval, classification, and exception detection are common candidates. The exact tool matters less than who owns the exceptions and how output is checked.

Keep a person in the loop when one error costs much more than one correct result saves.

Pricing exceptions, hiring decisions, legal interpretation, and material customer commitments may occur often enough to automate parts of the preparation. Final judgment can still belong with a person because the downside of an error is large.

A useful design may prepare the case, flag the exception, and route it to the right owner. Full automation is only one option.

Track work removed, not activity inside the tool.

Track manual hours removed, cycle time, error rate, cost per transaction, and the share of cases that still need intervention. Add maintenance time to the cost.

Usage matters only if it changes the economics or quality of the workflow.

Readyfront view

Four questions decide whether we keep looking.

Is the work frequent? Can we measure the current cost? Can the output be checked? Is there a useful job for the released time? If the last answer is weak, the project may save minutes nobody can use.

A useful automation leaves the workflow with fewer moving parts.

Count the steps before and after. If the new version adds a queue, a dashboard, and a review role, include those costs before calling the project a success.