The effort illusion is over. The attribution problem is not.
Outcome-based pricing has stalled in BPM — not for lack of appetite, but for lack of proof. BPM has priced effort for three decades, but agentic AI has broken the link between effort and value: When an AI agent resolves work, the effort disappears while the value it produced does not. Outcome-based pricing is the model everyone now agrees on in principle, yet it remains a small share of signed BPM revenue. This paper argues that the constraint is evidentiary, not commercial: Providers cannot yet prove causal attribution to a standard that a CFO will accept or forecast agentic cost predictably enough to underwrite a fixed outcome price. It proposes an integrated agentic FinOps discipline — real-time telemetry, attribution mapping, cost transparency and commercial governance — as the mechanism that makes outcome-based pricing executable rather than aspirational and sets out where to start.
