Value Metric
Anchor price to the work the service governs or improves: users, workflows, agents, seats, departments, accounts, or protected use cases.
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Pricing Framework
Price AI services around buyer value, tier progression, governance, margin guardrails, and recurring expansion.
Inside the framework
AI pricing breaks when the offer is tied to vague tool access or bundled support. The framework turns AI capability into a defensible pricing model buyers can understand and sellers can explain.
Anchor price to the work the service governs or improves: users, workflows, agents, seats, departments, accounts, or protected use cases.
Separate readiness, managed AI operations, governance, and expansion into clear packages with visible upgrade reasons.
Define support scope, onboarding load, tool cost, review cadence, and escalation rules before price gets published.
Connect pricing to QBR triggers, adoption milestones, renewal events, and the next use case the account can buy.
Pricing model options
Use these as starting points. The right model depends on service maturity, delivery capacity, governance requirements, and how much expansion motion your account team can run.
Related resources
Pricing works best when it is tied to packaging, seller narrative, QBR expansion, and attach-rate measurement.
Pressure-test tiers, boundaries, and upgrade paths.
Use the Checklist PromptsTurn account reviews into AI expansion conversations.
Get the Prompts Talk trackEquip sellers to frame AI readiness as a business issue.
Use the Narrative ScorecardMeasure whether AI is attaching across existing accounts.
Score Attach Rate