Strategic Integration of AI Monitoring Frameworks in Business Contexts: a Multisectoral Case Study Analysis

Abstract

The integration of Artificial Intelligence (AI) into enterprises has reshaped strategy, governance, and
compliance. As AI systems grow in autonomy, scalable frameworks are needed to monitor performance,
fairness, and ethics. This paper proposes a business-aligned monitoring model informed by case studies
in finance, human resources, and policy governance, drawing on the Big 5 consulting firms—Deloitte,
EY, KPMG, PwC, and McKinsey. Grounded in socio-technical systems theory, Technology Readiness
Levels (TRLs), and ethics readiness models, the framework addresses performance tracking, bias
mitigation, and ethical oversight. Findings show that embedding fairness and ethics strengthens
compliance, reduces risk, and builds stakeholder trust. We present a roadmap for enterprise-wide AI
governance that emphasizes continuous auditing and cross-functional collaboration. AI monitoring is a
core driver of responsible innovation.