The future of TPRM has arrived - Will you lead the way?

Are institutions leveraging cutting-edge tools like Generative AI to address the growing demands of third-party risk management? We’re conducting a research survey to explore the productivity challenges in TPRM, identify key pain points in managing manual processes, and uncover how AI-driven solutions can transform workflows and streamline risk assessments.

Your input will help shape industry insights and drive innovation in this critical area – take part today and be at the forefront of the TPRM evolution.

The importance of your insights

TPRM professionals are facing a productivity crisis, with growing responsibilities and stagnant budgets putting increasing pressure on teams. This research study seeks to investigate how Generative AI could help bridge this gap and address inefficiencies, manual processes, and the need for smarter risk management solutions.

Our objective? To provide actionable insights that drive innovation and efficiency in TPRM, helping organizations better navigate the complexities of third-party risk.

We aim to uncover key insights on:

  • Identify Pain Points: Understand the specific challenges in moving from policy to validation, and managing third-party assessments and risk evaluations.
  • Workflow Efficiency: Explore how GenAI can streamline key tasks, such as automating policy translation and pre-filling assessments.
  • Risk Assessment Improvements: Analyze how AI can help teams assess risks more effectively using existing data and documentation.
  • Adoption Roadblocks: Identify barriers to AI adoption and highlight use cases that demonstrate its value in TPRM.

Pre-order your copy of the whitepaper

Be the first to access our comprehensive whitepaper, which will delve deeper into the findings of this survey and explore how Generative AI is shaping the future of TPRM.

Don’t miss out on the opportunity to stay ahead of the curve in TPRM innovation. Join the waiting list and pre-order your free copy.

Coming soon April 2025.

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