How to Price an AI Agent: The Framework for What to Charge and How to Prove It (Part 1 of 2)
A pricing model that looks perfect on the spreadsheet can still open the door for a simpler competitor. Here's the five-tier framework — and the psychology — behind what to actually charge for.
"A risk-auditing platform charges a percentage of the risk value it identifies and prevents — textbook value-based pricing, and the math checks out. But it's also the kind of model that can quietly open the door for a competitor to walk into your largest accounts, not by being better, but by being simpler. That tension runs through almost every pricing conversation in agentic AI: the math can be spot-on while the psychology is completely off base. This piece breaks down the five-tier progression from per-input to per-outcome pricing, the COMPASS framework for choosing the right metric, and the measurement discipline that keeps a high-attribution metric honest — the foundation Part 2 builds on to explain why an outcome-based model that scores perfectly on paper can still lose you your biggest accounts.
Read the full article on LinkedIn → here
