AI Governance Is Missing the Process Layer: Why Risk and Compliance Must Be Embedded in Business Processes

Most AI governance frameworks overlook the operational layer where AI decisions actually happen.

As organizations accelerate AI adoption, governance efforts are rapidly expanding – from model oversight to ethics frameworks and regulatory compliance. Yet many organizations are overlooking a critical gap: the business processes where AI-driven decisions actually occur. 

Without visibility and control at the process level, AI initiatives can unintentionally introduce operational, regulatory, and reputational risk. 

In this session, we explore why risk and compliance must be embedded directly into business processes as organizations evolve from automation to AI – and ultimately toward more orchestrated and autonomous operations. Learn how leading enterprises are establishing a process intelligence foundation that provides the transparency, control, and accountability required to scale AI with confidence. 

Agenda

1. The Next Phase of AI in Operations
2. The Governance Gap: Where AI Decisions Actually Happen
3. Why the Process Layer Matters
4. Embedding Risk and Compliance Into Processes
5. Process Intelligence as the Operational Governance Foundation
6. Key Takeaways
7. Q&A