Despite significant investment in artificial intelligence, most organizations are still struggling to turn ambition into impact. A 2026 PwC global survey found that 56% of companies have yet to realize measurable financial returns from their AI initiatives. This gap is especially pronounced in third-party risk management (TPRM). While interest in AI is high, many programs remain stuck in pilot mode, held back by fragmented tools, limited integration, and uncertainty around what “enterprise-ready” truly looks like. The result: stalled progress, unrealized value, and growing pressure to justify investments.

Join leaders from Aravo and PwC for a practical, experience-driven discussion on how to move beyond experimentation and successfully operationalize AI within TPRM. We’ll go beyond theory to examine what differentiates scalable, enterprise-grade AI solutions from pilots that never deliver, and how those differences translate directly into measurable business outcomes.

You’ll gain a clear understanding of how leading organizations are using AI to streamline workflows, enhance risk visibility, and drive more resilient, scalable TPRM programs.

By the end of the session, you will be equipped with:

• A practical framework for assessing AI solutions against enterprise TPRM requirements and expected return on investment
• A clear view of the critical capabilities required to scale AI across complex third-party risk use cases
• Real-world insight into how AI can unlock efficiency gains, improve decision-making, and strengthen program outcomes
• The confidence to select, deploy, and scale AI solutions that deliver sustained, measurable value

If your organization is ready to move from AI experimentation to real impact in TPRM, this session will show you how.