AI FinOps
The cost of AI should not come as a surprise, but should be a managed business decision
Overview
The consumption-based nature of AI introduces new types of costs: models, tokens, API calls, agent-based processes, cloud and GPU capacity, as well as the associated data and infrastructure services. AI FinOps makes these transparent, keeps them under control and links them to business value.
Components of our AI FinOps service
- Mapping the AI ecosystem and the full life-cycle costs
- analysis of model, token, application and infrastructure usage
- Allocating costs to a use case, project or organisational unit
- assessment of the cost baseline, monitoring, cost planning, alerts and controls to prevent over-utilisation
- model and architecture selection, load and capacity optimisation
- a combined assessment of cost, quality, performance and business results
Your contact
Kocziha Mihály
Head of Data & AI
mihaly.kocziha@smp.hu