Per-resolution pricing is a commercial model for AI customer service where the business pays only when the AI successfully resolves a customer issue — rather than paying per seat, per interaction, or a flat platform fee. It aligns the vendor's incentives with the customer's outcomes: the vendor only earns when they deliver value.

The model works by defining what constitutes a "resolution" — typically a customer issue that is fully addressed without requiring follow-up, escalation to a human agent, or a repeat contact within a defined window. Interactions that are escalated, abandoned, or unresolved are not billed.

Per-resolution pricing changes the economics of AI customer service in several ways:

• De-risked adoption: Companies can deploy AI without committing to a large upfront investment. If the AI doesn't resolve issues, they don't pay.

• Aligned incentives: The vendor is motivated to improve resolution quality, not just deflection volume. A "deflected" interaction that doesn't actually help the customer generates no revenue.

• Transparent ROI: The cost per AI-resolved issue is explicit and directly comparable to the cost of human resolution, BPO rates, or other alternatives.

• Scalable costs: As volume increases, costs scale linearly with value delivered rather than requiring additional seat licenses or infrastructure investment.

The counterpoint to per-resolution pricing is that not all resolutions are equal — a password reset and a complex billing dispute represent very different levels of effort. Some vendors address this through tiered pricing based on interaction complexity.

For CX leaders evaluating pricing models, per-resolution pricing is worth examining because it forces the vendor to stand behind their AI's performance. If the AI can't resolve, the vendor doesn't get paid.

Related terms: cost per resolution, resolution rate, deflection rate