See how FraudOps streamlines fraud investigation from referral to resolution. In this live session we walk through the investigation workbench, show how it sits alongside your existing detection tools, and cover day-to-day workflows for claims, SIU and IT.
You will see case intake and triage, tasking and collaboration across teams, evidence capture with full audit, and reporting that supports compliance and ROI conversations. We keep it practical, using insurer-typical scenarios and data fields.
This session is ideal for Claims, SIU/CIU, and Technology leaders who want faster case progression, fewer manual steps, and clearer MI (management information). Bring your questions. We will tailor the walkthrough to your lines of business and current stack.
Insurance leaders across the UK face mounting operational pressure as investigation workloads grow in complexity and volume. While fraud detection systems have improved in sophistication,
Fraud leakage rarely appears as a single, dramatic loss on a balance sheet. Instead, it shows up quietly through claims that feel acceptable, settlements that
Claims teams across insurers are handling growing volumes of complex cases while relying on investigation approaches that were built for a very different operating reality.
Insurance fraud in 2026 is becoming harder to investigate as generative AI reshapes how false claims are built and presented. UK insurers are already seeing
Insurance leaders are entering a phase where fraud behavior feels sharper, more coordinated, and harder to isolate within traditional systems, which makes this discussion timely
The pace at which generative technology is influencing claim submission patterns has reached a point where insurance fraud is becoming harder to identify through surface
