Illustration showing AI success as the combination of IQ, SQ, and GQ leading to agent success and sustainable value, with governance elements such as policies, guardrails, monitoring, accountability, and human oversight.

AI Governance Should Enable ROI, Not Sit Outside the Business Case

AI governance is often treated as a constraint on AI. But what if it is also part of protecting the value AI is expected to create?

This was one of my reflections after attending the “Agents Governing Agents” session at IAPP Asia Forum 2026 in Singapore.
The session asked a simple question: How do we get real ROI from AI?

One framework presented AI agent success as:

IQ × SQ × GQ

Does the AI work?
Is it secure?
Is it acting responsibly?

Importantly, the framework treated these dimensions as multiplicative, not additive: if one falls to zero, agent success falls to zero. That framing matters because technical performance alone does not determine whether AI creates sustainable business value.

The session illustrated this through an AI system that analyzes customer data, identifies signs of financial stress, creates a customer segment, and uses that segmentation to influence pricing or discounts.

The system may be technically functioning as intended. But if the resulting decision crosses ethical, compliance, or organizational boundaries, innovation can quickly become a source of reputational risk, lost trust, and compromised ROI.

The alternative shown in the session was not to stop the AI system, but to govern it: identify the problematic use, apply permissible criteria, and allow the business process to continue within defined boundaries.

My takeaway: Governance should not sit outside the AI business case. It should be part of how the business case is designed.

Good governance helps define the conditions under which AI can create value responsibly — through decision boundaries, monitoring, accountability, escalation, and appropriate controls.

For boards and executives, this changes the question.

Not only:

“What ROI can this AI system generate?”

But also:

“What governance conditions must exist for that value to remain sustainable?”

The strongest AI business case is not simply one that promises value.
It is one designed to preserve that value when the technology meets real-world risk, scrutiny, and accountability.

Inspired by the “Agents Governing Agents” session at IAPP Asia Forum 2026. Views expressed are my own.