What Is the 1-to-4 Rule?

The 1-to-4 Rule is the financial discipline that governs Resolution as a Service (RaaS) pricing viability. For every $1 of AI infrastructure and compute spend, a RaaS vendor must capture at least $4 of Resolution Value from the customer. This ratio is the requirement that restores the 75% gross margins institutional investors require from high-performance software companies.

Why the Rule Exists

The shift from seat-based to outcome-based pricing does not automatically restore software margins. It replaces one structural problem with another if the pricing is not anchored to actual cost.

Under seat-based pricing, AI compute is a cost that scales with usage while revenue stays flat at the contracted seat price. The result is approximately 52% gross margin compression for AI-native SaaS companies operating under seat-based contracts. The 1-to-4 Rule exists to prevent outcome-based pricing from creating the same problem in a different form: vendors who promise results at a flat per-resolution fee without knowing their cost-to-serve are not solving the margin problem. They are repricing it.

The rule is derived from a simple gross margin calculation. If a resolution costs $0.25 to serve and is priced at $1.00, the gross margin is 75%. That is the 1-to-4 ratio in practice. The discipline is not in the math. It is in knowing the cost-to-serve precisely enough to apply the rule to every resolution type before pricing any of them.

The Formula

Revenue per Resolution must equal or exceed 4 times the AI Cost to Serve that resolution.

Applied to specific resolution types using CPAG illustrative estimates based on publicly available AI inference pricing as of Q1 2026:

A Tier-1 support ticket at $0.25 cost to serve requires a minimum price of $1.00 to maintain 75% gross margin.

A complex legal document audit at $2.50 cost to serve requires a minimum price of $10.00.

A project plan generation at $0.10 cost to serve requires a minimum price of $0.40.

Enterprise data cleansing at $0.50 cost to serve requires a minimum price of $2.00.

These figures are illustrative. Actual cost-to-serve varies materially by model, orchestration complexity, and volume tier. The rule is the discipline, not the number.

The Power User Problem

The 1-to-4 Rule must be applied at the customer level, not just the portfolio level. A platform can appear healthy in aggregate while specific enterprise customers are generating negative margins at scale.

High-volume customers who run thousands of automated workflows per month generate very different margin profiles than occasional users. If a resolution type is priced to produce 75% gross margin at 500 resolutions per month and the compute cost per resolution does not decline with volume, a customer running 10,000 resolutions per month at the same price is compressing the margin on every resolution above the baseline.

This is the power user margin erosion problem. It is not visible at the portfolio level. It requires resolution-level cost tracking per customer to detect. The Vendor Transition Playbook defines the diagnostic for identifying this pattern and the structural response: usage-tiered pricing with a base resolution credit and an overage rate above the threshold.

What the Rule Requires Operationally

Applying the 1-to-4 Rule is not a pricing decision. It is a measurement infrastructure requirement.

A vendor cannot apply the rule without knowing the cost-to-serve at the resolution-type level. That requires instrumenting the platform to capture compute cost, including model hosting, tokens, and orchestration, for every resolution attempt. It requires defining Atomic Resolutions precisely enough that cost-to-serve can be calculated per resolution type rather than averaged across the platform.

This is why CPAG’s Three-Phase RaaS Transition Roadmap places measurement infrastructure in Phase 2, before any customer is moved to outcome-based pricing. Vendors who skip Phase 2 and move directly to outcome-based contracts are pricing from assumption rather than evidence. The most common outcome is a resolution rate schedule that passes the rule on paper and fails it in practice at enterprise volume.

The Model Cost Decline Advantage

AI inference costs decline approximately 40% annually. This creates a structural advantage for vendors who apply the 1-to-4 Rule with discipline: as compute costs fall, the margin on existing resolution pricing improves without requiring price increases.

A Tier-1 support ticket priced at $1.00 with a $0.25 cost-to-serve today produces 75% gross margin. If inference costs decline 40% over 12 months, the same resolution costs $0.15 to serve at the same price, producing an 85% gross margin. Vendors who apply the rule as a floor rather than a ceiling benefit from every model improvement as margin expansion rather than pricing pressure.

This compounding advantage reverses the AI Efficiency Trap that seat-based vendors face. Under seat-based pricing, AI efficiency reduces headcount and therefore seat counts, compressing vendor revenue. Under Resolution as a Service with the 1-to-4 Rule applied, AI efficiency reduces cost-to-serve, expanding vendor margins on the same resolution volume.

The 1-to-4 Rule is one component of the full Resolution as a Service (RaaS) framework developed by Crown Point Advisory Group. The complete economic argument is in the RaaS Manifesto. The operational implementation guide, including the Phase 2 measurement instrumentation required to apply the rule in practice, is in the Vendor Transition Playbook.