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technologyreview.com·3h ago
AI Research
arXiv CS.AI·May 25·8 min read
KPI2KVI: A Multi Agent Workflow for Calculating Key Value Indicators from Service Descriptions
TL;DR
Organizations struggle to manually convert service descriptions into Key Value Indicators (KVIs)—business-focused metrics showing how operational performance creates stakeholder value. KPI2KVI is a multi-agent LLM-powered workflow that automatically extracts relevant KVI categories, generates measurable KPIs, collects values through dialogue, and computes interval-valued KVI outputs with audit trails.
✦ Why It Matters
Engineers can automate KVI calculation from service documentation, reducing manual effort and ensuring consistent, auditable performance-to-value mappings.
Key Takeaways
- Utilize KPI2KVI to automate KVI calculations from service descriptions.
- Leverage LLMs for extracting and generating KPIs efficiently.
- Enhance transparency in performance metrics with traceable KVI outputs.
- Support interactive dialogue for collecting KPI values and estimations.
How It Works
KPI2KVI orchestrates a multi-agent workflow that interacts with service descriptions to extract necessary context and KVI categories. It uses LLMs to generate specific KPIs and engages in dialogue to gather KPI values, including intelligent estimations for missing data.
The final output consists of interval-valued KVIs, providing minimum, exact, and maximum estimates along with explanations for each calculation.