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FinOps for AI
Financial governance purpose-built for AI and GenAI workloads.
As organisations scale their AI investments, traditional cloud cost management breaks down. GPU hours, token consumption, model inference costs, and fine-tuning pipelines require a fundamentally different allocation and governance approach. We design FinOps frameworks specifically for AI workloads — so your ML and engineering teams can innovate without losing financial control.
What's included
- ✓Token-level cost allocation per team, model, and use case
- ✓GPU cluster chargeback model design
- ✓LLM API cost monitoring and budget guardrails
- ✓AI pipeline cost-per-run tracking
- ✓Model inference vs training cost split reporting
- ✓Showback dashboards for AI investment across business units
Who this is for
Head of AI / ML EngineeringPlatform teams running shared GPU infrastructureFinance teams funding AI initiativesProduct teams building LLM-powered featuresCTO offices governing AI investment
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