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Infrastructure & AI Cost Review
For organisations with material cloud, AI or GPU spend and a renewal or commit decision ahead.
strategy
Cloud commitments
Where the money is. Analysis of your hyperscaler bills across Microsoft Azure, AWS, Google Cloud, Oracle and GCC sovereign providers, then commit, reservation and discount strategy set ahead of your next renewal. Before you sign, read the guide to cloud commit agreements.
revenue-engine
AI and GPU spend
Costs before they reach the budget. GPU and inference costs planned up front, token budgets and approval limits reviewed, and each use tested against its business case, so AI spend grows with the value it delivers.
partners
Cost governance
Spend that stays down. Clear cost ownership: who owns each cost, how each team sees and pays for what it uses, budget alerts and a monthly review your finance team runs.
Common questions
What is an Infrastructure & AI Cost Review? A fixed-scope review of your cloud and AI spend that ends in a savings plan with named owners and dates.
When is the best time to review cloud costs? Before a commit renewal or new investment, or once spend is rising faster than the value it delivers, as AI costs often do.
Do you need access to our cloud accounts? Not at first. The review starts from cost exports and invoices, and read-only billing access helps in the later stages.
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