AI Costs Under Control: Serviceware Launches ‘AI Economics’
- ‘AI Economics’ creates transparency into spending on AI applications and AI models and automatically identifies cost drivers
- AI agents support root cause analysis; integrated workflows enable targeted countermeasures
- ‘AI Economics’ unlocks AI cost savings potential of up to 80 percent
- Self-service deployment in less than 24 hours
Idstein Serviceware SE today announced the launch of ‘AI Economics’, a software solution for analyzing and managing AI costs. It enables companies to detect unusual cost developments early, analyze their causes, and initiate measures right away. To achieve this, ‘AI Economics’ combines detailed cost analyses and intelligent anomaly detection with integrated workflows through which responsible stakeholders can be involved and optimization measures tracked.
The new ‘AI Economics’ solution is part of the AI-native Serviceware Platform, which customers use to implement, among other things, Enterprise Service Management (ESM), Knowledge Management, and IT Financial Management (ITFM).
Detect cost deviations and act immediately
As the use of AI applications and AI agents grows, so does the risk of a new kind of "bill shock" for companies. Much like at the start of the cloud boom, costs arise scattered across different providers, applications, and business units. Consumption-based pricing models make it harder to plan and control spending. For CIOs and IT finance leaders, it is therefore increasingly important to understand AI costs across providers and to respond quickly to unexpected developments.
‘AI Economics’ consolidates cost data from different AI and technology providers and makes spending traceable down to individual applications, AI models, and responsibilities through drill-down analyses. The integrated anomaly detection automatically identifies unusual cost developments. Multi-level analyses show, for example, whether a cost increase is due to higher token consumption or a switch to a more expensive AI model.
When a relevant deviation is detected, defined workflows can be triggered immediately. For example, the responsible application owner can be automatically included in the review. Tasks, approvals, and measures are managed and documented within the platform. This helps companies respond faster to cost developments and anchor responsibility for AI spending where it arises.
"With the use of artificial intelligence, a mistake from the cloud era is at risk of being repeated: companies push the adoption of new technologies without keeping sufficient track of their ongoing costs," says Dr. Alexander Becker, COO of Serviceware SE. "Those who only react once the bill arrives give away valuable room for maneuver. AI cost management must therefore do more than create transparency. It must enable companies to take countermeasures early."
According to Serviceware's calculations, companies can reduce their AI costs by up to 80 percent with ‘AI Economics’.
AI agents support root cause analysis
Through the Agent Hub of the Serviceware Platform, users can ask questions about their spending in natural language. AI agents analyze relationships between applications, models, and consumption data, present the results in an understandable way, and help derive recommendations for action. This reduces manual analysis effort and provides a basis for better-informed investment decisions.
For a quick start, Serviceware offers out-of-the-box APIs for the most important AI and cloud providers at market launch: Anthropic, OpenAI, AWS and Microsoft Azure. With a self-service setup, ‘AI Economics’ can be up and running in less than 24 hours. With appropriate usage, the investment in ‘AI Economics’ can pay for itself within a few weeks.
In addition to AI spending, ‘AI Economics’ can also be used to analyze cloud costs, offering an entry point into broader technology cost management. With further solutions on the Serviceware Platform, companies can include additional IT costs and manage their technology investments more holistically.
