How to Build an AI Risk Register That Stays Current

Jul 31, 2026

👋 Hi, I am Mark. I am a strategic futurist and innovation keynote speaker. I advise governments and enterprises on emerging technologies such as AI or the metaverse. My subscribers receive a free daily newsletter on cutting-edge technology.

Most AI risk registers are created once and forgotten. They sit in a spreadsheet. Assumptions change. New risks emerge. The register becomes stale within weeks. A living register organizes risk across four categories and updates continuously: what you are not scanning for, where pivots will fail, governance gaps, and workforce deficits.

Scanning blindness: What trends are you missing? What industry shifts are outside your normal scanning window? What emerging competitors are entering from adjacent categories? Create a register of risks that would matter if you missed them. For each risk, decide who is responsible for monitoring it and how often they will check.

Execution fragility: Where will your pivots fail? If you need to move to a new business model in 90 days, what would break? Which departments are dependent on systems you cannot change? Which processes are brittle? Where are you vulnerable? Map these explicitly. Knowing where you are fragile tells you where to invest in capability building.

Governance gaps: What AI systems are running that you do not fully understand? What systems lack adequate testing? What override procedures are documented but not followed? Where do you have regulatory exposure? Create a systematic inventory. Prioritize gaps by business impact and regulatory risk. This gives you a roadmap for governance investment.

Workforce readiness: Where are people unprepared for change? Which teams lack the skills to operate with AI? Which departments have cultural resistance? Which leaders do not understand their role in AI adoption? Map these explicitly. Workforce readiness risks are often invisible until they become adoption failures.

Update your register monthly. New risks emerge constantly. Some risks resolve. Some increase in severity. A living register keeps pace with change. It becomes the document your leadership team refers to regularly. It drives investment decisions. Dr. Mark van Rijmenam finds that organizations with living risk registers make better strategic choices because they see failure modes before they materialize.

Build a living risk register that guides your strategy. Visit https://www.thedigitalspeaker.com/intelligence-age-scorecard/

About Dr. Mark van Rijmenam: Dr. Mark van Rijmenam is a world-leading strategic futurist and the creator of the Intelligence Age Scorecard, a diagnostic assessment built on the WAVE framework from his book Now What? How to Ride the Tsunami of Change. He helps Fortune 500 companies and governments navigate AI and emerging technologies across five continents.

This article was created with AI assistance and reflects the WAVE framework methodology. For the full research-backed analysis, take the Intelligence Age Scorecard.

Frequently asked questions

What is a living AI risk register?

A living AI risk register is a document that organizes risk across four categories and updates continuously, rather than being created once and forgotten. It tracks scanning blindness, execution fragility, governance gaps, and workforce readiness, and is refreshed regularly as new risks emerge, some resolve, and others increase in severity.

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What are the four categories of AI risk to track?

The four categories are scanning blindness, meaning trends and competitors you are not monitoring; execution fragility, meaning where business model pivots would break; governance gaps, meaning AI systems that are not fully understood, tested, or overseen; and workforce readiness, meaning teams and leaders unprepared for AI adoption.

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How often should an AI risk register be updated?

An AI risk register should be updated monthly. New risks emerge constantly, some existing risks resolve, and others increase in severity, so continuous updating keeps the register current and useful as a strategic reference document for leadership teams.

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Why do most AI risk registers become outdated?

Most AI risk registers are created once, placed in a spreadsheet, and then forgotten. Because assumptions change and new risks constantly emerge, a static register becomes stale within weeks, losing its usefulness for guiding strategic decisions unless it is actively maintained and revisited.

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