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FraudX at the CLM Construction Conference: Fighting the "Fraudemic" in Construction Claims

  • Sep 5, 2025
  • 3 min read

Updated: 20 hours ago


FraudX is proud to be a sponsor of this year’s CLM Construction Conference. We’re joining carriers, general contractors, TPAs and law firms confronting one of the most difficult challenges facing the industry: increasingly complex construction claims and growing concerns about fraud.


Some industry investigators have called it a “fraudemic.” For claims organizations, the challenge isn’t simply identifying suspicious activity. It’s finding the facts, inconsistencies and patterns buried across thousands of pages of claim documentation.

That’s exactly the problem FraudX was built to help solve.


Why We’re Going

Complex construction claims can involve thousands of pages of medical records, accident reports, depositions, invoices, photographs and other evidence. Reviewing that information manually can take experienced investigators hours or days before they can even begin to see the complete picture.


FraudX uses AI to conduct the first review of that evidence, helping investigators reconstruct timelines, identify inconsistencies, surface relationships and find information that deserves a closer look.


The goal isn’t to have AI decide whether fraud occurred. It’s to give experienced investigators a faster and more systematic way to examine the evidence.


Spotlight on Tradesman

One of the highlights of the conference will be a keynote by Don Orlando, Chief Investigator at Tradesman.


Don will share how Tradesman is using FraudX to accelerate the investigation of complex claims and give its team a new way to examine large volumes of claim evidence.

FraudX can help investigators:


  • Review complex claim files faster

  • Reconstruct medical and claim timelines

  • Surface inconsistencies and investigative signals

  • Identify recurring entities and relationships

  • Trace findings back to the underlying evidence


The result is a fundamentally different investigative workflow: AI can perform the first review of thousands of pages while experienced professionals evaluate the evidence and make the final call.


What FraudX Does

FraudX is an AI-powered investigation platform built for complex insurance claims.

The platform helps investigators and adjusters analyze millions of data points across claim documentation and turn fragmented evidence into an organized investigative picture.


FraudX helps teams:

  • Identify inconsistencies and patterns that warrant further investigation

  • Surface relationships involving claims, medical providers, attorneys, addresses and other entities

  • Build detailed medical and claim chronologies

  • Trace investigative signals directly to supporting evidence

  • Review complex claim files up to 40X faster than traditional manual review


Every signal is a starting point for investigation, not a verdict.


FraudX does not determine whether a claimant, medical provider, attorney or other party has committed fraud or wrongdoing. Human investigators remain responsible for evaluating the evidence and making those determinations.


AI Investigates. Humans Decide.

That distinction is central to how FraudX works.


AI is extraordinarily good at reviewing large volumes of information, organizing evidence and finding connections across complex datasets. Experienced investigators bring something equally important: context, judgment and responsibility for the ultimate decision.


FraudX brings those capabilities together.


Instead of asking investigators to spend their time searching through thousands of pages for the facts that matter, FraudX helps put those facts in front of them — with the underlying evidence available for review.


AI investigates. Humans decide.


Join Us at CLM

We’re excited to meet with carriers, general contractors, TPAs and law firms at CLM and demonstrate a new approach to investigating complex construction claims.


FraudX helps investigators find what matters faster, understand why it matters and make the final call themselves.


Together, we can give the people fighting insurance fraud better tools to investigate it.





 
 
 

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