Leadership does not reward AI usage; it rewards results. If you want your work to register with the people at the top, you have to speak in metrics they already care about. Here are the ones that land.
Time returned to the team
Hours saved per week, aggregated across everyone who uses what you built, is one of the most persuasive numbers you can bring. It translates directly into capacity, which leaders understand instantly.
Adoption and reach
How many people or teams use your workflow is a leverage metric. It tells leadership your impact scales beyond your own desk, which is exactly what they look for in someone ready for more.
Cost and revenue movement
A drop in cost per task or a lift in a revenue-driving process is the metric that funds promotions and budgets. Where you can connect AI work to money, do 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.
The right metric, tied to something leadership already tracks, does more for your career than a year of quiet effort.
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.