Market Insight: Use Cases And Adoption Challenges For AI In Risk Management
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Executive Summary
The Verdantix 2024 global corporate risk management survey revealed that firms are turning to AI as a risk management tool, to navigate complex and unfamiliar risk landscapes (see Verdantix Global Corporate Survey 2024: Risk Management Budgets, Priorities And Tech Preferences). From leveraging copilots for risk identification, to automating compliance management systems, AI presents an innovative risk management tool for several use cases. However, while AI technologies are gaining momentum in the risk management space as a valuable investment, there are significant barriers to adoption, such as the immaturity of current solutions and a lack of trust in AI reliability. This report offers important insights into the role of AI in risk management, providing an overview of industry trends, practical use cases and the key barriers hindering its adoption as a risk mitigation tool.Verdantix survey reveals the top industries and regions adopting AI for risk management in 2025
AI-driven risk management platforms have numerous use cases for operational resilience and efficiency
While highly valuable, AI-driven risk management capabilities are still in their infancy, with several barriers to adoption
Figure 1. Most significant drivers for increased spending on risk management
Figure 2. Most common AI use cases over the next two years
Figure 3. Most significant barriers to AI adoptio
About the Authors
Mahum Khawar
Analyst
Mahum is an Analyst in the Verdantix Risk Management practice. Prior to joining Verdantix, she was a CIO Advisory Analyst at Wavestone, where she gained experience in cyber se…
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Katelyn Johnson
Senior Manager, Risk Management
Katelyn is the Senior Manager in the Verdantix Risk Management practice. Her current research agenda focuses on climate risk and its integration into risk management framework…
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