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Article September 18, 2025

Delay Is Denial - How AI Is Already Reshaping Risk

Delay Is Denial - How AI Is Already Reshaping Risk

Adelani Adesida, Managing Director, EMEA, AravoLinkedIn profile for Adelani Adesida

Adelani Adesida, Managing Director EMEA at Aravo Solutions, calls for a radical rethinking of AI in third-party risk management. He warns financial services firms that failing to embrace intelligent automation and data centralization may mean falling behi

In today’s environment, organisations are being asked to do more with less - fewer people, more data, more vendors and markedly more risk. 

According to the managing director and founder of a leading enterprise third-party risk and vendor management platform, third-party risk management is undergoing a seismic transformation driven by operational urgency rather than hype.

“AI isn’t coming - it’s already here,” he said. “If you’re still wondering whether your firm should explore it, you’re already behind.”

He described a mounting storm in financial services - tightening regulation, expanding supply chains, and the sheer volume of third parties that must be monitored - arguing that AI is already redefining how leading firms centralise risk data, cut uncertainty and respond to incidents in real time. 

“Let’s be clear - not all AI is created equal,” the business leader said. “We’re not interested in buzzwords – we’re solving business problems. 

“By AI, we mean systems that simulate human capabilities, adapt to new data and improve performance without constant human instruction.” 

At CeFPro’s vendor-risk conference earlier in the summer, the managing director and founder emphasised that AI is about redeploying people to higher-value work, not replacing them.

“Smarter workflows reduce uncertainty and meet evolving programme demands,” he said.

They cited a global consumer-goods company that once took six months to onboard a supplier, ceding first-mover advantage and denting investor confidence. 

With AI-driven onboarding and intelligent profiling, similar suppliers can now be risk-ranked in days - or even minutes. 

“That’s a game-changer,” the speaker said. 

In another example, a multinational oil and gas company uses machine learning to adjudicate up to 8,000 daily adverse-media alerts across 500,000 third parties, filtering out around 85% as false positives. 

“If we’re buried in noise, we miss the signal - and that’s where reputational and regulatory risks lie,” they added.

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