The AI Pricing Playbook

A toolkit for procurement teams navigating the new rules of software pricing in the AI era.

The Problem: AI Is Rewriting the Pricing Rules — and Vendors Are Counting on You Not Noticing

Over the past 12–18 months, a new cost structure has emerged in enterprise software. Vendors are applying AI-driven price increases of 20–37% at renewal — far beyond the typical 3–9% annual uplift. But it's not just the size of the increases that's changing. The way vendors charge is fundamentally shifting: credit-based pricing makes benchmarking nearly impossible, forced SKU migrations eliminate the option to renew at your old price, and conditional discounts tie savings to purchasing AI add-ons you may not need.

Enterprise procurement teams are good at negotiating — but the playbook that worked for traditional SaaS doesn't fully apply to AI-native and hybrid tools. This toolkit gives you the frameworks to push back with confidence.

Asset 1

AI Tool Contract Review Checklis

AI vendors are rewriting the rules. Make sure the contract works for you.

A structured checklist for reviewing AI vendor contracts — covering the specific pricing structures, data rights, and risk provisions that are unique to AI tools and increasingly showing up in renewals across every category.

Why it matters: Understanding what you're agreeing to on data rights and pricing flexibility is the difference between a vendor relationship that works for you and one that quietly works against you.

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Asset 2

AI Pricing Tactics Decoder

Name the play. Counter the play.

A reference guide that breaks down the four most common pricing tactics vendors are using to apply AI-driven price increases — and gives your team a specific counter-strategy for each one.

Why it matters: Procurement teams report being caught off-guard by these tactics because they don't look like traditional price increases. Naming them makes them negotiable.

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Asset 3

AI Spend Forecasting Worksheet

Stop budgeting blind for your fastest-growing cost category.

A spreadsheet template for modeling and forecasting AI-related software costs across your stack. Designed for finance and procurement teams that need to build credible budget projections for a category where pricing models are still shifting.

Why it matters: Credit-based and consumption pricing are becoming the default for new AI tools, and they make traditional budgeting methods unreliable. This worksheet gives finance a way to forecast AI spend without waiting for the invoice to land.

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