Risk

Organizations are navigating an era where AI, automation and increasingly connected technologies are reshaping how decisions are made. As decision cycles accelerate and enterprise interdependencies grow, traditional approaches to risk management are no longer sufficient.

Leading organizations are embedding risk governance into decision-making, technology development and transformation rather than applying it after the fact — redefining risk management as an enterprise capability.

Based on a global survey of 1,750 senior transformation leaders across 20 countries and 13 industries, Transforming the Enterprise: Risk explores how risk leaders are preparing for the future of risk by modernizing governance, redesigning the risk operating model and building the capabilities required to scale transformation with confidence.

Risk transformation is associated with stronger enterprise performance

As organizations pursue transformation across the enterprise, those investing in risk transformation report the strongest overall performance relative to industry peers among the transformation initiatives measured.

AI is becoming embedded across enterprise risk management

As AI becomes embedded across operational risk, compliance, cyber, fraud and third-party risk, organizations may need more mature AI governance to keep pace with AI-enabled decision-making.

Trusted data underpins the future of risk

As AI becomes embedded across the enterprise, weak data quality, governance and lineage remain key barriers to adoption, making trusted data essential to effective AI and risk governance.

Trust is emerging as a source of competitive advantage

As AI becomes more deeply embedded across the enterprise, organizations increasingly see trust not simply as a governance requirement, but as a source of competitive differentiation.

Risk governance must move closer to decision-making

As AI becomes embedded across the enterprise, risk governance should move upstream, becoming part of technology development and decision-making rather than being applied after the fact.

The research points to a clear conclusion: the future of risk will likely require more than new technologies or stronger controls. It will require leaders to rethink how risk is governed, embedded and enabled across the enterprise.

Risk leaders need to move upstream — embedding risk into the decisions, technologies and transformations shaping the enterprise. That means building trust and governance into AI from the start, treating data as a strategic asset and developing the capabilities to anticipate risk rather than simply respond to it. The opportunity is to make risk not simply a safeguard, but a source of confidence that helps the business move faster and transform at scale.