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.
684,800 fraudulent applications were stopped in the UK last year. Here’s how underwriting fraud screening closes the gap claims-only checks leave open.
Detection fills the queue; fraud referral conversion decides how much you actually save. Where counter-fraud savings leak between referral and outcome, and how to close the gap.
How long should a fraud investigation take? Realistic SLA ranges by case type, what delay costs under Consumer Duty, and how to hit deadlines without cutting corners.
A unified fraud investigation workbench brings the whole case onto one surface. What that changes for case visibility, consistency and investigator capacity.
Detection keeps filling the queue; the fraud alert backlog is where savings leak. Why more fraud alerts don’t mean more savings — and how to clear it.
Human-in-the-loop AI in fraud investigation means AI handles retrieval and drafting while a named investigator makes every material decision. What regulators and investigators both need, and why full autonomy stays rare.
