TrustLayer, a collaborative risk management platform, is enhancing its AI-powered fraud detection to automate vendor onboarding compliance. By processing more than 400,000 Certificates of Insurance (COIs) each month and drawing on a database of millions of compliance documents, the platform identifies sophisticated patterns of insurance fraud that often go undetected through traditional manual review.
Manual verification methods have long been prone to human error, with sophisticated forgeries such as tampered PDFs and falsified carrier signatures routinely escaping notice. TrustLayer's AI assigns confidence scores to each document and flags anomalies indicating alteration or fabrication, addressing this gap and protecting organizations from significant third-party risk.
The platform's network of nearly 300,000 companies provides the data foundation for high-velocity machine learning. By continuously learning from the COIs it processes monthly, the system evaluates each document against client-specific standards and industry benchmarks, evolving from a basic tracking tool into a proactive compliance resource. This approach replaces legacy processes with what TrustLayer calls "next practices," applying advanced techniques to detect emerging fraud trends before they affect a company's financial position. Industries such as construction, real estate, and retail benefit from this automation during data preparation and litigation stages.
TrustLayer is designed to support collaboration across the risk transfer chain, including insurers, brokers, enterprises, and subcontractors. It automates the correspondence, collection, and storage of compliance documents, helping project managers and risk leaders avoid reliance on expired or potentially fraudulent paperwork. For enterprises, the platform offers actionable insights and automated workflows for clear visibility into third-party risk. Subcontractors experience a streamlined, no-sign-in-required process that minimizes administrative obstacles. Brokers benefit from instant document linking and error flagging, supporting faster verification and more reliable partnerships.
The AI capabilities enhance real-time insurance verification, reading each COI, identifying coverage gaps, and alerting users to errors before they result in costly outcomes. This provides risk managers and their extended stakeholder networks with a shared, transparent environment to coordinate compliance efforts effectively. TrustLayer's ongoing development priorities focus on AI features that refine vendor onboarding and COI tracking, equipping businesses with tools to validate trust efficiently and securely. More information is available at trustlayer.io.
