AI Revolutionizes Third Party Risk Management Strategies
Discover insights from the 2025 EY survey on AI-driven methods for managing third-party risks in an increasingly unpredictable business landscape.
Businesses are increasingly turning to AI to manage third-party risks in a volatile environment, according to the 2025 EY Third-Party Risk Management (TPRM) survey. The report highlights three critical actions to accelerate TPRM transformation and maximize the benefits of AI adoption.
1. Focus on the Enterprise
TPRM is often siloed across different business units, each tracking distinct metrics. Procurement monitors vendor performance, cybersecurity tracks breach costs, and supply chain focuses on supplier resilience. However, AI and centralization require an enterprise-wide view of obligations—such as regulatory requirements and investor expectations—to optimize decision-making. The concept of a "risk steward" is emphasized—a role dedicated to aligning risk management across organizational silos and fostering a proactive approach.
2. Invest in AI Readiness
While AI adoption in TPRM remains low, organizations aim to scale up in the coming years. Bridging this gap requires:
- Assessing existing TPRM processes and data management.
- Improving data quality and governance.
- Upskilling the workforce to handle AI integration.
- Monitoring emerging trends in AI and TPRM best practices.
3. Question Assumptions and Accelerate Tipping Points
Kawther Haciane, EY MENA Digital Risk Leader, compares AI adoption to the shift from cloud skepticism to "cloud-first" policies. Similarly, the rise of ChatGPT and the pandemic-driven remote work surge forced rapid TPRM tech adoption. As third-party relationships grow in complexity, manual risk assessments become costly, making AI adoption financially compelling. Breakthroughs in agentic AI, multimodal AI, and reasoning AI could further accelerate this shift.
The report concludes that anticipating tipping points—rather than reacting to them—can position organizations for success. By aligning incentives, investing in AI readiness, and adopting an enterprise-wide perspective, businesses can future-proof their TPRM strategies.
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About the Author

Dr. Emily Wang
AI Product Strategy Expert
Former Google AI Product Manager with 10 years of experience in AI product development and strategy formulation. Led multiple successful AI products from 0 to 1 development process, now provides product strategy consulting for AI startups while writing AI product analysis articles for various tech media outlets.