Operational Aspects of AI Governance

This article originally appeared in the Oct-Dec 2026 issue of Risk & Compliance Magazine and is reprinted with permission from Financier Worldwide Ltd. 



As artificial intelligence becomes increasingly embedded in day-to-day business operations, organizations are moving beyond defining AI governance principles to determining how those principles work in practice. Effective governance now requires organizations to demonstrate that appropriate controls, accountability and human oversight are integrated into the way AI is deployed and used. 

In a recent Risk & Compliance magazine article, Rith Kem, Director, Forensic Technology and AI Solutions at BDO USA, joins other industry professionals to discuss how organizations can operationalize AI governance while continuing to innovate. The discussion explores risk-based approaches to AI deployment, translating governance policies into day-to-day controls, establishing consistency across global organizations and evaluating whether governance measures are actually influencing outcomes. 

Readers will also gain perspectives on the capabilities that risk, compliance and audit functions will need as AI continues to evolve, including technical literacy, effective escalation processes and continuous monitoring. Looking ahead, the panel considers how AI governance may increasingly become integrated into organizations' broader risk, data and decision-making frameworks. 

Read the full article to explore practical considerations for building AI governance that works in practice.