Practitioner Guidance

Practitioner guidance refers to operational documents, frameworks, and best practice recommendations designed to help organizations implement AI governance policies and compliance measures in real-world settings. These resources translate high-level regulatory requirements and governance principles into actionable steps that technical teams, data scientists, and compliance officers can follow during AI system development and deployment. For enterprises, practitioner guidance is essential because it bridges the gap between policy intent and practical execution, reducing ambiguity and helping teams avoid costly compliance failures.

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ResearchAustralia2026-08-14

KPMG-UTS Case Study Sets a Practitioner Benchmark for AI Governance Operating Models

The University of Technology Sydney and KPMG published a joint case study documenting KPMG's practical experience building an enterprise AI governance program. The paper, part of UTS's Lighthouse series, details how governance controls, accountability structures, and operating arrangements were developed and implemented. It represents one of the few publicly available, practitioner-led implementation accounts from a major professional services firm.

KPMG Australia case study governance operating model accountability structures AI governance program practitioner guidance