FinanceReasoningMedium complexity
AI Spend Control
AI costs now arrive as per-token bills that grow with every agent loop, plus seat licences nobody checks against use.
How we approach it
Put an LLM gateway in front of every model call and meter spend by team and by use case. Route routine requests to smaller models, cache repeated prompts and move non-urgent work to batch pricing. Review seat usage every quarter, and report cost per completed task rather than per token.
Business value
AI spend that tracks the value it produces
Technology stack
- LLM gateway
- OpenTelemetry
- prompt caching
- batch APIs
- FinOps dashboard
Related service
Strategic AI RoadmapFurther reading
Related use cases
- Cross-Industry · FinanceAI ROI MeasurementLicences are bought and pilots launched, but few organisations can show what AI has changed in their numbers.
- Cross-Industry · EngineeringLLM Application EvaluationAssistants and agents that looked good in a demo degrade quietly in production when prompts, data or the model change.
- Cross-Industry · SecurityAttack Path AnalysisFind the routes an attacker could chain from an exposed asset to the systems that matter most.