Can AI Help Leaders See Risk Before It Hits?

In this episode of the ExecutiveEDGE Podcast, Geert De Lombaerde's article explores why companies investing in AI-powered risk management may be gaining a competitive advantage, why human oversight remains essential and how leaders can begin putting these capabilities to work.

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There's a lot to be said for seeing trouble coming before it lands on your desk.

AI is already helping businesses automate tasks, accelerate processes and improve efficiency. But could its greatest value come from helping executives anticipate problems before they become costly disruptions?

In this episode of the ExecutiveEDGE Podcast, Geert De Lombaerde's article explores how companies are using AI to strengthen risk management — from identifying financial anomalies and cybersecurity threats to modeling supply chain disruptions and preparing for economic uncertainty.

Drawing on research from PwC and insights from Protiviti, the episode examines why companies investing in AI-powered risk management may be gaining an advantage over their peers, where human judgment remains essential and how executives can begin putting these capabilities to work.

The bigger question: What could your business accomplish if it spent less time reacting to disruptions and more time preparing for them?

What You'll Learn

  • Why AI-powered risk management could become a competitive advantage

  • How AI can help businesses identify threats and model potential disruptions

  • What separates companies capturing greater value from their AI investments

  • Why human expertise and oversight remain critical to effective risk management

  • How executives can approach AI adoption through smaller, measurable initiatives

  • Why calculating AI's return on investment can be particularly challenging

  • How better forecasting and scenario planning could improve business resilience

  • Why shifting employees from administrative work to higher-value analysis could deliver benefits beyond efficiency

Why It Matters

Risk management has traditionally focused heavily on identifying, assessing and responding to potential threats.

AI introduces the opportunity to do more — analyzing larger amounts of information, testing possible scenarios and identifying warning signs earlier than traditional processes might allow.

But the technology also introduces risks of its own, making human oversight, cross-functional collaboration and clear performance measures essential.

For executives, the opportunity isn't simply to automate risk management. It's to improve the organization's ability to anticipate change, make informed decisions and respond when disruptions occur.

The potential payoff goes beyond avoiding problems. It could change how quickly and confidently organizations act when conditions shift.

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About the Author

Geert De Lombaerde

Geert De Lombaerde

Contributor

A native of Belgium, Geert De Lombaerde joined EndeavorB2B in September 2021 to cover public companies, markets, and economic trends primarily for IndustryWeek, FleetOwner, Oil & Gas Journal, T&D World, and Healthcare Innovation. His work focuses on strategy, leadership, capital spending, and mergers and acquisitions, and he also works with Endeavor Business Intelligence on surveys and data projects.

Geert has been in business journalism since the mid-1990s. With a degree in journalism from the University of Missouri, he began his reporting career at the Business Courier in Cincinnati, initially covering retail and the courts before shifting to banking, insurance, and investing. He later was managing editor and editor of the Nashville Business Journal before being named editor of the Nashville Post in 2008. He led a team that helped grow the Post's online traffic by an average of more than 15% annually before joining Endeavor.

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