Return on investment is the language leadership speaks. If you can show that your AI work returns more than it costs, you turn yourself from an expense into an investment. Here is how to calculate and present that.
Establish the cost side honestly
Account for the time and tools your AI work consumes. A credible ROI case does not hide its inputs; it names them, which makes the returns believable.
Measure the return in the same unit
Convert the benefit into hours or dollars so it sits on the same scale as the cost. A clean ratio, even a rough one, is more convincing than a pile of qualitative wins.
Show the return compounds
One-time savings are fine; recurring ones are better. If a workflow you built returns value every week to everyone who uses it, that compounding is the heart of your ROI story.
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.
ROI you can show turns your AI work from something you did into something the company should invest more in, starting with you.
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.