AWS, Microsoft, and Google are embedding AI consumption commitments into enterprise cloud agreements. This paper reveals the bundling tactics, maps the pricing mechanics, and delivers the strategy to negotiate standalone AI terms.
How Bedrock, Azure OpenAI, and Vertex AI commitments are structured within EDP, MACC, and CUD frameworks — and why this matters for your pricing.
The specific commercial tactics providers use to prevent you from isolating and independently evaluating AI pricing — with counter-strategies for each.
How AI consumption commitments inflate cloud minimums through cross-subsidies, blended rates, and commitment floor manipulation — with worked examples.
A six-step negotiation strategy for securing independent AI pricing from your cloud provider — from consumption baselining to multi-provider evaluation.
Five strategies for maintaining — or improving — your cloud volume discounts while unbundling AI spend into a separate commercial track.
How to run parallel AI evaluations across providers using model portability — producing the competitive pricing data that transforms your negotiation.
"The enterprises that treat AI as an independent commercial category — not an extension of their cloud deal — are the ones that build sustainable cost structures for the AI era."Redress Compliance — Cloud & AI Practice