AI FinOps Accelerator on AWS (powered by Acuity)

The CirrusHQ AI FinOps Accelerator is a focused 4–6 week engagement that brings generative AI spend under control. It is designed for customers six-plus months into a generative AI deployment whose Bedrock or SageMaker spend has grown faster than the business value of the workloads.

The problem. Generative AI workloads are notoriously opaque on cost. Token use, prompt design, caching, model selection, and prompt routing all drive runaway spend that traditional FinOps tools - AWS Cost Explorer, Cloudability, Apptio - do not surface. CFOs are increasingly blocking AI expansion until unit economics are visible.

What is delivered.

• A Bedrock and SageMaker spend baseline ingested into the CirrusHQ Acuity platform.
• A unit-economics dashboard: $/inference, $/agent run, $/use case, $/active user.
• A token, prompt, and cache optimisation playbook applied to up to three priority workloads.
• Model-routing recommendations (route low-complexity prompts to smaller or cheaper models).
• A tagging and showback model aligned to customer business units.
• Bedrock provisioned throughput versus on-demand recommendation.
• A quantified cost-reduction target — typically 40–70% on the optimised workloads.
• Optional handover to CirrusHQ Team-as-a-Service for ongoing managed AI FinOps.

Why this is different. The Acuity platform is unique to CirrusHQ - 16 years of FinOps and operations experience built into a single tool that aggregates data across every AWS account, runs hundreds of automated compliance and cost checks per day, and provides drill-down reporting that connects spend to architecture decisions. No other UK AWS Premier Partner publishes an AI FinOps Professional Service of this kind on AWS Marketplace.

Who buys this. CFO, Head of Cloud Cost, FinOps lead, Head of Data and AI - typically in organisations six-plus months into a Bedrock or SageMaker deployment with rising spend and pressure to demonstrate unit economics.