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AI cost governance

Understand the cost of a useful AI outcome.

For technology and finance leaders evaluating AI usage, vendor pricing or a build, buy and scale decision, particularly alongside a Google Cloud footprint.

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Look past the price of a request

A low model price does not establish a low cost to serve. Define the useful outcome, then consider retries, context size, retrieval, storage, orchestration and any human review needed to deliver it. Compare options against the same quality requirement.

Make the assumptions explicit

Separate measured usage from estimates. Record expected volume, request mix, model choice, failure rates and pricing assumptions. Use those inputs to compare a normal operating case with a higher-demand case instead of treating one forecast as certainty.

Review the commercial exposure

Look at usage pricing, minimum commitments, credits, renewal terms and what happens when demand changes. A pilot and a scaled service may need different controls. Include relevant AI vendor costs when those inputs are available.

Give growth a decision path

Agree who owns the budget and who reviews changes in usage, quality or vendor terms. Decide what evidence is needed before increasing spend. The output is a decision brief with options and next steps, not an unsupported promise that AI will pay for itself.

A good starting question

“What would this AI workflow cost at the volume we expect, and which assumptions could change that answer?” Define the outcome and the quality needed before comparing prices.

Inputs for the review

Available usage records, invoices, pricing terms and operating context. Agree on secure handling before sharing sensitive information. Do not send prompts, customer data or confidential exports in an initial email.

Scope boundaries

A limited AI economics review can be included in the diagnostic when relevant inputs are available. Model engineering, security assurance and production implementation are outside that initial advisory scope.

Start with the decision you need to make.

Send a short note about your question. Scheduling is arranged personally by email. Scope, access and capacity are confirmed before dates are agreed.

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Please keep confidential information out of the first message.

Related services

See the Cloud and AI Economics Diagnostic →