WEBVTT

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- Businesses operate in a complex

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and rapidly evolving
risk landscape dominated

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by geopolitical tensions,
supply chain volatility,

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climate shocks, and cyber threats.

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For business leaders, the
question is no longer if they will

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face disruption, but how
to be ready when it hits.

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In this environment, risk
management can be reactive.

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It must be proactive,
dynamic, and strategic.

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That's where AI and
GenAI come in. Used wisely,

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these tools don't just help manage risk,

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they transform it into
a source of advantage.

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It starts with managing AI
risks related to proficiency,

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reputation, security, and compliance

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to ensure ethical

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and accountable use. Companies

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with a strong responsible
AI framework realize up

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to three times the benefits from AI.

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Next, AI transforms risk processes.

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It reduces human error, automates
reporting, and accelerates

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and massively improves risk processes,

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for instance, know-your-customer processes

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for financial institutions,
boosting cost efficiency by 40,

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60%, of course maintaining
the same risk coverage.

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And today we start seeing
the first applications

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of agentic AI on risk management,

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where the machine really helps
orchestrate the process.

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Finally, AI enables
risk-based decision-making.

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That means building intelligent systems

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for operational resilience,
using scenario planning

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and staying ahead of emerging threats.

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To unlock this potential, risk

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and compliance functions must evolve.

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They need to elevate their role
in the company's AI program.

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Risk needs to be a core
component of those programs

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from the outset, upskill their
teams on data technology

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and associated risks,

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adopt a scalable risk technology platform

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that facilitates seamless integration,

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and finally, promote an
organizational mindset shift from

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low-value tasks to high-impact insight.

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We call it "learning with the machine."

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Risk is no longer a
constraint, it's a capability,

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and the AI is how we
scale it for the future.