How Cayzen connected siloed data to help Washington's Labor & Industries fight fraud at scale.
Underground economy and workers' compensation premium fraud have a vast impact on businesses and injured workers across Washington. The fraud problem thrives on data silos — no single agency had an integrated view of a business and its activities across multiple government systems. Reducing fraud was one of the top five strategic priorities for L&I, but traditional tools couldn't surface the patterns that reveal violators and transient worksites.
Cayzen built an innovative architecture that aggregated data from multiple state agencies, local government permitting systems, prevailing wage contracts, and other sources into a unified intelligence platform. The system used advanced data modeling, GIS mapping, and neuroscience-based visualization to surface violators and transient worksites with precision. A mobile application let field inspectors plan visits based on GIS location data, capture inspection outcomes, issue violations, and make quality referrals — all without leaving the field.
The system generated quality leads for exposing fraud violators by connecting previously siloed data — turning data into actionable intelligence. Inspectors in the field could work smarter with GIS-based route planning and real-time fraud alerts. The combined effect was a dramatic improvement in L&I's ability to identify and pursue violators. The use of technology to simplify this complex fraud web continues to improve the business and work environment in Washington, protecting legitimate workers and employers alike.
Whether it's a system on life support, a modernisation you've been putting off, or a challenge you're not sure how to frame — we've likely seen it.
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