Adaptive Value Intelligence (AVI™): A Next-Generation KPI Framework for Predictive and Outcome-Driven Service Management
Traditional Key Performance Indicators (KPIs) are increasingly inadequate in complex, high-velocity service environments. Static targets, lagging measurements, and siloed metrics fail to predict risk, guide decision-making, or reflect true business value. This whitepaper introduces Adaptive Value Intelligence (AVI™), a next-generation KPI methodology designed to replace static performance metrics with dynamic, predictive, and outcome-driven intelligence signals. AVI™ integrates leading and lagging indicators, execution quality, stakeholder impact, learning velocity, and adaptive weighting into a composite performance index aligned to strategic intent. Developed from nearly two decades of enterprise IT service delivery and operations leadership across regulated and high-availability industries—including aviation, oil & gas, healthcare, telecom, and software—AVI™ is a practitioner-validated framework. The methodology emphasizes governance, KPI lifecycle management, metric decay, and predictive health signals to support modern service management, digital operations, and enterprise resilience. This paper presents the AVI™ conceptual model, scoring structure, governance principles, implementation roadmap, and practical use cases for IT service management and operational performance leaders.
Authors
- Farooq Aqlaq Hussain
Institutions
- Oldham Council (GB)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-12-25
- DOI
- https://doi.org/10.5281/zenodo.18055295
- Primary Topic
- Supply Chain Resilience and Risk Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00