Price the Finished Work, Not the AI Call

Founder takeaway

Measure AI economics at the workflow level: calculate the total cost per accepted output, including failed runs, human review, and rework, rather than focusing on the price of each model call.

Why it matters

Cheap inference can still produce an expensive process if outputs fail often or require heavy oversight. Comparing equivalent end-to-end workflows helps founders distinguish real cash savings from costs merely shifted to employees or other systems.

Relevant guides

Put it to work

Choose one finance workflow and compare its current cost per accepted output with the AI-enabled version, counting model usage, failures, review time, rework, and any cash expenses that actually disappear.