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Agent implementation notes

Choose a first AI workflow you can measure

The best first candidate is usually work the team can describe and show. Frequency, review effort, and available information matter more than how impressive the idea sounds.

Look for a clear starting point

Choose a task with representative examples, a workflow owner, and a known output. Record the time it takes and what normally goes wrong.

Agree on what would count as better

Measure actual handling time, correction effort, and completed work after use. Keep the first scope small enough to understand the result before adding more tasks.

Common questions

What if a simpler automation is enough?

That can be the recommendation. The aim is a useful improvement to the workflow.

Keep exploring

Next step

What would you put an agent to work on?

Tell us about the work, the tools involved, and the decisions that need a person.