Interview | Accountability at Scale: Making Agentic AI Defensible for Audit, Risk, & Control | Insights from Ramsundar Subramanian

In this exclusive interview, Ramsundar Subramanian, AI Lead – Internal Controls over Financial Reporting at Equinor, shares how organisations can balance AI-driven innovation with the controls needed to maintain trust, compliance, and financial integrity. He explains why governance must be designed into agentic AI from the start, and how organisations can enable experimentation without losing oversight.

As agentic AI becomes increasingly autonomous, Ramsundar also explores the importance of clear accountability, robust data foundations, and governance frameworks that support sustainable adoption at scale.

Download to learn more about:

• Governance by Design: Embed risk management, human review, and audit requirements before development begins
• Accountability at Scale: Maintain clear decision rights and human ownership in AI-assisted workflows
• Balancing Innovation & Control: Enable experimentation while preventing governance gaps and unmanaged risk
• Auditability & Trust: Ensure AI outputs are transparent, traceable, and defensible under scrutiny
• Data Foundations for Agentic AI: Understand why clean, connected data is critical for successful deployment

Agentic AI is not just about autonomy, it's about operating confidently in environments where every decision must be explainable, accountable, and trusted. Download the interview to learn how to scale agentic AI responsibly while maintaining control, compliance, and business value.