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.

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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
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article

Adaptive Value Intelligence (AVI™): A Next-Generation KPI Framework for Predictive and Outcome-Driven Service Management

Farooq Aqlaq Hussain
Zenodo (CERN European Organization for Nuclear Research)
Supply Chain Resilience and Risk Management
article

Adaptive Value Intelligence (AVI™): A Next-Generation KPI Framework for Predictive and Outcome-Driven Service Management

Farooq Aqlaq Hussain
article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Oldham Council (GB)
Openalex Percentile: Top 25%
Supply Chain Resilience and Risk Management
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