Using AI to get consistent and effective TPRM
Businesses often rely on third parties to compete in a global marketplace, which can lead to challenges with risk monitoring. Current infrastructure constraints can also keep them from the continuous oversight required for effective TPRM in fast-changing conditions.
AI algorithms can help organizations access data and analyze results in real time. The question isn’t “whether” to incorporate AI into an arsenal of TPRM tools, but rather “how, specifically?” or “where first?”. Read this paper to learn:
- 4 big operational considerations
- 7 common concerns for integrating AI functionality into TPRM models
- 8 questions to ask external TPRM AI providers
What combinations of AI tools for TPRM, organizational capital, and risk strategy might best bridge the gap between vision and reality?
The application of AI to TPRM is never just a pure technology play. It can only improve and sustain programs that have solid processes and qualified people behind them.
Jilane Khakhar, Director, KPMG Forensic Services
