Case study 2
AI Spend Governance Framework for a Financial Services Business
The Challenge
A mid-market financial services firm had recently accelerated its AI adoption, deploying multiple LLM-based tools and ML pipelines. Within two quarters, AI-related cloud spend had doubled, with no clear ownership, attribution, or forecasting model in place.
What We Did
We implemented a full AI cost attribution framework, mapping spend to individual teams, products, and use cases.
We introduced workload tagging standards, built a showback model for internal reporting, and established an AI budget governance process aligned with the firm’s quarterly planning cycle.
The Outcome
- Complete cost attribution across all AI workloads within 30 days
- 22% reduction in AI infrastructure spend through rightsizing of training environments
- A governance framework that scaled as the firm’s AI programme expanded