Outcome pricing for AI agents
Per-seat AI pricing charges you whether or not the software works. Outcome pricing charges you when it does. This paper examines both models against real deployment data and explains why measurable outcomes are the only defensible basis for AI billing in a cost-conscious market.
If a vendor cannot describe the outcome their AI produces, they cannot price on it — and you should ask why.
Overview
Per-seat AI pricing charges you whether or not the software works. Outcome pricing charges you when it does. This paper examines both models against real deployment data and explains why measurable outcomes are the only defensible basis for AI billing in a cost-conscious market.
You'll learn how to
Compare per-seat, consumption and outcome pricing models
Identify which business processes have auditable outcomes
Structure an AI pilot that cannot become shelfware
Defend AI spend to a board that has seen pilots fail before
Key takeaways
- 1
Outcome pricing eliminates the risk of paying for unused capability.
- 2
Collections, document processing and screening have clean outcome metrics.
- 3
Agents that cannot be measured should not be bought on a fixed fee.
If a vendor cannot describe the outcome their AI produces, they cannot price on it — and you should ask why.