Market Insight: Use Cases And Adoption Challenges For AI In Risk Management
Katelyn Johnson
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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 at Verdantix, specializing in AI integrations within risk management software and operational resilience. She advises technology buyers and software vendor...
View ProfileKatelyn Johnson
Senior Manager
Katelyn is a Senior Manager at Verdantix, specializing in enterprise risk management and external risk and resilience. She helps executives navigate today’s evolving ris...
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