AI Assigns Confidence Scores to Flag Forged COIs

Confidence Scores and Machine Learning: A Closer Look at Automated COI Verification

San Francisco,, United States – April 30, 2026 / TrustLayer /

San Francisco, CA – As manual verification processes give way to data-driven alternatives, TrustLayer continues to expand its AI-powered fraud detection capabilities. Processing more than 400,000 Certificates of Insurance (COIs) every month, the TrustLayer platform draws on a database of millions of compliance documents to identify sophisticated patterns of insurance fraud that frequently go undetected through traditional review methods.

Compliance document verification has long been a slow, labor-intensive process with a notable susceptibility to human error. Sophisticated forgeries – including tampered PDFs and falsified carrier signatures – can evade manual review, leaving organizations exposed to significant third-party risk. TrustLayer’s AI-enhanced technology addresses this exposure by assigning confidence scores to each document and flagging anomalies that indicate alteration or fabrication.

Smarter Risk Management Through Scale

TrustLayer’s network of nearly 300,000 companies supplies the data foundation required for high-velocity machine learning. The platform continuously learns from the 400,000+ COIs it processes each month, evaluating each document against client-specific standards and industry benchmarks. Over time, the system evolves from a tracking tool into a proactive compliance assistant that removes uncertainty from vendor onboarding.

Modern risk management demands an approach that moves beyond legacy processes. TrustLayer’s framework aims to replace established best practices with more advanced methods, using machine learning to detect emerging fraud trends before they affect an organization’s financial position. For industries including construction, real estate, and retail, this level of automation adds a meaningful layer of protection during document preparation and litigation stages.

Automation That Powers Collaboration

TrustLayer is designed to support collaboration across the full risk transfer chain – spanning insurers, brokers, enterprises, and subcontractors. The platform automates the correspondence, collection, and storage of compliance documents, ensuring that project managers and risk leaders are not working with expired or fraudulent paperwork.

The system simplifies the experience for all stakeholders:

  • For Enterprises: Clear, actionable insights and automated workflows provide total visibility into third-party risk.
  • For Subcontractors: A streamlined, no-sign-in-required experience ensures that compliance does not become an administrative burden.
  • For Brokers: Instant document linking and error flagging support faster verification and stronger working relationships.

Uncovering Gaps in Real Time

TrustLayer’s AI technologies strengthen the capacity to automate insurance verification across multiple industries. The platform reads each COI, identifies coverage gaps, and alerts users to errors before those issues develop into costly problems. This approach creates a shared framework for risk managers, allowing a broad group of stakeholders to operate within a secure and transparent environment.

Ongoing development at TrustLayer remains focused on AI features that improve vendor onboarding and COI tracking. The platform continues to provide businesses with the tools needed to validate trust accurately and efficiently.

For more information, visit trustlayer.io.

About TrustLayer

TrustLayer is a collaborative risk management platform that helps businesses automate the verification of insurance, licenses, and other compliance documents. By leveraging advanced AI and a vast network of brokers and carriers, TrustLayer provides real-time visibility into third-party risk, protecting organizations from uninsured claims and fraudulent activity.

Contact Information:

TrustLayer

2021 Fillmore Street, Suite 1069
San Francisco,, California 94115
United States

Don Halliwell
+1(415) 358-1199
https://www.trustlayer.io