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Risk and Fraud

Smarter corporate investigations Part 2: How AI is transforming third-party risk investigations

· 5 minute read

· 5 minute read

A four-part series

Highlights

  • AI-powered tools detect hidden vendor risks through automated relationship mapping and ownership analysis.
  • Investigation teams achieve dramatic efficiency gains using natural language prompts for complex due diligence.
  • Modern third-party risk management augments human judgment with AI-driven intelligence and comprehensive data analysis.

 

The third-party risk management landscape has reached a critical inflection point. While a lot of US organizations have adopted AI in at least one function, investigation teams still struggle with fragmented vendor data, hidden ownership structures, and the operational challenge of conducting thorough due diligence at scale.

 

Jump to ↓
Finding risk beyond the first layer


AI-powered third-party management: A game changer


Turning investigation efficiency into business value


Looking forward: The investigation evolution

 

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Intelligent onboarding & risk management: The Thomson Reuters CLEAR advantage

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Finding risk beyond the first layer

Traditional vendor onboarding processes rely on questionnaires and surface-level business registrations, an approach that misses the complex networks where real third-party risk resides. Consider this: a vendor might appear legitimate with proper Secretary of State filings, but critical red flags often emerge through connected entities, shared officers, or affiliated addresses that don’t appear on a single record.

Modern fraudsters exploit these blind spots. They operate through multiple entities and aliases, creating sophisticated networks that can take investigation teams days or weeks to uncover manually. The stakes are high; vendor relationships that seem clean in isolation can expose organizations to significant compliance, reputational, and financial risks.

AI-powered third-party management: A game changer

CLEAR Investigate represents a fundamental shift from reactive investigation to proactive risk detection. Rather than manually clicking through dozens of database screens, investigators can now prompt the system to “run due diligence and risk overview on this company and its ownership structure.”

The AI doesn’t just compile data; it analyzes relationships, identifies patterns, and surfaces unknown connections that human investigators might miss when managing third-party risk. In minutes, not hours, teams receive comprehensive narratives that include:

  • 360-degree business analysis with ownership mapping
  • Automated relationship discovery across corporate filings, liens, judgments, and bankruptcy records
  • Real-time adverse media monitoring with intelligent risk scoring
  • Source-documented findings with full audit trails for compliance

Turning investigation efficiency into business value

Organizations implementing AI-powered investigation workflows report dramatic efficiency gains for third-party management. What previously required extensive training and specialized knowledge now becomes accessible through natural language prompting. Junior investigators can conduct sophisticated analyses while senior team members focus on strategic workflows and complex case development.

Teams can now implement structured workflows that scale with their business growth while maintaining investigative rigor.

Looking forward: The investigation evolution

As regulatory requirements intensify and fraud schemes become more sophisticated, the organizations that embrace AI-powered investigation tools will gain sustainable competitive advantages. They’ll detect risks faster, make more informed reviews, and build stronger vendor relationships based on comprehensive understanding rather than surface-level assessments.

The future of third-party risk management isn’t about replacing human judgment, it’s about augmenting investigative capabilities with AI that can process vast amounts of data, identify unknown connections, and present findings in actionable formats that drive better business outcomes.

Strategic takeaway: Investigation teams that integrate AI-powered intelligence into their workflows today will be better positioned to handle tomorrow’s complex risk landscape while delivering the speed and consistency that modern business demands.

CLEAR Investigate

CLEAR Investigate

Agentic AI workflows for smarter investigations

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Access to these tools is limited to authorized, vetted professionals.

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