A self-evaluation is your chance to put your year on the record in your own words. If AI has been central to your work, a vague mention wastes the opportunity. Here is how to write it so each claim is specific and defensible.
Lead each bullet with a result
Start with what changed, then mention AI as the how. "Cut report prep from a day to an hour" beats "used AI to improve reporting." The result is what the reader remembers.
Attach numbers and names
Every strong self-eval line has a metric and a scope: how much it improved and who it touched. Specificity is what separates a memorable review from a forgettable one.
Write to be verified
Assume your manager will spot-check. Only write claims you can back with evidence, and note where that evidence lives. A verifiable self-eval builds trust; an inflated one costs it.
A manager cannot reward what they cannot see. If your AI contributions live only in your own head and your own tools, they are invisible to the people who decide your next role. Making them visible is the whole game.
Your self-evaluation is only as strong as the proof behind it. Write from the record, not from memory.
Make your AI impact impossible to ignore
Oberhahn shows how your AI work actually moves through your organization: the workflows you built, how many teams adopted them, and the results they produced. It turns work that usually disappears into a record you can put in front of your manager. Get started free at oberhahn.com.