FinOps for AI

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Control costs, accelerate innovation, and maximize the value of your AI investments
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We help you make AI workloads transparent, optimize costs, and demonstrably increase the business value of your AI investments. From governance and forecasting to ongoing cost optimization, we guide you on your journey toward a sustainable AI FinOps framework.

Here's how Softline supports you with FinOps for AI

AI FinOps is not just a tool or a process — it is an organization-wide discipline. That is why we help you build internal expertise and embed it for the long term.

We create a robust data foundation and make all AI costs transparent.

A selection of our services:

  • Analysis of AI and cloud spending
  • Identification of cost-driving services
  • Setup: Dashboards and reports

We identify opportunities for cost savings and develop optimization measures.

Typical focus areas:

  • Rightsizing AI infrastructures
  • Optimizing training and inference processes
  • Identifying unused resources

Sustainable success with artificial intelligence requires clear processes and responsibilities.

We provide support in areas such as:

  • AI FinOps strategy
  • Definition: roles and responsibilities
  • Budget and approval processes

We create forecasts and help you realistically plan for significant AI expenses.

Services:

  • Budget and forecast models
  • Cost estimates for new AI projects
  • Early warning systems and budget alerts

 

Would you like to know what cost-saving opportunities and optimization possibilities exist in your existing cloud and AI landscape?

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FinOps Assessment by Softline

Optimize cloud spending instead of wasting your budget

Unnecessary cloud costs often go undetected for a long time. Softline’s FinOps Assessment shows you where savings are possible, provides optimization measures you can implement immediately, and lays the foundation for efficient cloud cost management.

More about FinOps Assessment

Understanding the Costs Behind Every AI Query

AI Tokenomics

The use of large language models and generative AI services is often based on token-based billing models. We analyze the actual token consumption of your AI applications, provide transparency regarding costs per prompt, user, or use case, and identify specific opportunities for optimization.

Learn more about AI Tokenomics

Measuring the Business Value of Your AI Initiatives

Softline helps you make the financial benefits of your AI investments transparent and link costs to specific business goals.

Typical questions:

  • How do AI applications contribute to productivity?
  • Which use cases generate the highest added value?
  • How is the cost-benefit ratio evolving?
  • Which investments pay off in the long term?

By linking cost, usage, and business data, you lay the foundation for informed decisions.

Challenge: AI costs are rising faster than expected

Many companies start with pilot projects or individual use cases. However, as usage increases, so do complexity and costs:

  • Business units use various AI services in parallel
  • Test environments incur high GPU costs
  • Token-based and usage-based models complicate budget planning
  • Responsibilities for AI spending are not defined
  • The relationship between costs and business value often remains unclear

Without appropriate control mechanisms, unnecessary spending can quickly arise, and there is a lack of transparency regarding the actual value added by these investments.

Successfully manage AI. Sustainably optimize costs.

With FinOps for AI, you lay the foundation for transparent costs, informed decisions, and measurable business success. Learn from our experts how to unlock the full potential of your AI investments.

Your contact for FinOps for AI: Rainer Teichmann
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