The Corporate Governance Perspective: Foresight & Oversight Think of corporate governance as standing The Operational Governance Perspective: Steering & Regulation Now, let's shift to operational governance If corporate governance is about looking through the telescope, operational governance is about having Corporate governance loses its ability to provide effective oversight, while operational governance struggles Corporate governance sets the destination and watches for icebergs, while operational governance keeps

This has led me back to some foundational work in cybernetics—ideas that help us think about governing Your governance needs to learn and adapt, or it becomes irrelevant quickly. This changes how I think about AI governance. Instead of trying to make the black box transparent, we focus on governing what we can actually control I've been working through these ideas in more detail—how cybernetic principles apply to AI governance

This is best accomplished by having effective Operational Governance – the proactive side of compliance In this blog post, we explore three essential functions of Operational Governance that will enable organizations Provide Vision and Direction: At the heart of effective Operational Governance lies a clear vision Effective Operational Governance demands a systematic evaluation of internal processes, the establishment Embrace the power of Operational Governance , and watch your organization flourish as you confidently

Each organization will and should determine how they will govern the use of AI and the risks associated Much of this is not governed and without oversight. How are you governing your use of AI. What standards are you using?

Paper-based governance—rooted in static policies, procedures, and compliance checklists—was designed Paper-based versus Operational Governance Why Paper Policies Fall Short Paper-based governance relies Building Operational Governance Systems The shift from paper-based to operational governance systems To govern these systems effectively, organizations must embrace governance mechanisms that are as intelligent Paper-based governance, while foundational, is no longer sufficient.

Why governed records will not make AI safe Every commercial aircraft carries a flight data recorder It is one of the most carefully governed records in any industry. This is evidence compliance presented as governance. Record-based AI governance jumps from Governance straight to Processes. That governance is the standard its AI is measured against.

But it isn't governance. It's operational efficiency using governance language. Decades of governance literature — COBIT, RACI, corporate governance theory, and more recently the AI Decision-centric governance asks: "Who gets to decide what?" "Requisite to the obligation" is a governance answer. The Bottom Line Decision authority is a necessary governance mechanism but an insufficient governance

GRC Should BE Traditionally, GRC activities were centered around integrating the siloed functions of Governance Similarly, risk management was building risk registers and heat maps, and governance was providing oversight holistic, and proactive approach to meeting obligations, a different model emerges where the bywords are: Govern These are essential capabilities that, when working together, improve the probability of success by governing

We escape it by governing what comes next. What does work is operational governance. Governing the behavior. Governing the outcomes. That same operational discipline is exactly what AI governance demands. Simple rules cannot govern complex systems. This is operational governance. This is what I do.

Governance is expected to regulate, but it is not operational Every organization is expected to regulate Governance sets direction and decides what the organization commits to. Governance receives information and has little ability to act on it. 5. It does not build ownership of obligations at governance. Governance has to act as the top-level regulator.

Viability is very close to governance. To ask whether an organization is viable is to ask whether it is well governed. The question of AI viability is a question of governance. AI is deployed within an organization, governed by it, and accountable through it. Governance cycles often run quarterly or annually. Audits look back.

It is the abdication of governance. Not all AI agents require the same governance. It is a foundational principle of governance. It is the governance itself. Procedural accountability without operational governance is a filing system, not a governance system.