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Article
Risk Data Is Useless Until Leaders Act
More risk data does not automatically produce better decisions. Hari Rao explains why TPRM teams must translate risk into business impact, how AI will strengthen predictive analytics without replacing human judgment, and why understanding the business is essential if risk professionals are to become strategic advisors.
Oct 07, 2026
Narahari (Hari) Rao, Global Supply Risk and Resiliency Director, Schlumberger (SLB)
Tags:
Vendor and Third Party Risk
The views and opinions expressed in this content are those of the thought leader as an individual and are not attributed to CeFPro or any other organization
- Strong risk analysis
does not guarantee executive action when threats have yet to materialize
- ROI, severity,
likelihood and opportunity cost can translate risk into business terms
- AI can strengthen predictive analytics by combining multiple data sources and forecasting potential impacts
- Human judgment
remains essential to turn AI predictions into realistic scenarios
- TPRM teams must
understand the business and evolve from risk data providers into strategic
advisors
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