FRISS is a company focused on fraud, risk, and compliance solutions for the insurance industry, particularly in property and casualty (P&C) insurance. It provides software that helps insurers detect and prevent fraud across the policy lifecycle, from underwriting to claims handling. The company leverages data analytics and automation to improve risk assessment and operational efficiency for insurers.
This is like a super-fast, always-awake auditor for insurance claims. It reads claim data, compares it to patterns from past fraud cases, and flags suspicious activity before money goes out the door.
This is like an AI-powered fraud detective for insurance companies that understands both normal claims and AI-generated fake content. It watches claims, documents, and customer interactions to spot suspicious patterns that traditional rules and older fraud systems miss.
Think of this as a 24/7 digital fraud detective that reviews every insurance claim, spots suspicious patterns humans might miss, and flags risky cases for investigators before money goes out the door.
Think of this as a smart audit assistant for insurance claims that automatically checks what’s being claimed against what should realistically be there, flags suspicious items, and speeds up payouts for genuine claims.
Think of this as a very fast, very experienced claims investigator that has read millions of past cases. Every time a new claim comes in, it quietly checks for patterns that previously signaled fraud, flags suspicious ones for humans to review, and lets straightforward claims sail through faster.
This is like a super-attentive fraud detective that reads every claim, checks all the data behind it, and flags anything suspicious in seconds instead of days.
This is like giving your claims team a tireless detective that reviews every claim, compares it to millions of past cases, and flags the ones that look suspicious so humans can focus on the real investigations.
This is like having a super-fast digital investigator that reviews every insurance claim, compares it against millions of past cases, and highlights which ones look suspicious so your human fraud team can focus where it matters most.
Think of this as a super‑vigilant inspector that watches every claim, compares it to millions of past cases in seconds, and flags suspicious patterns that humans would miss—while fraudsters are also trying to use AI to fake documents, identities, or accidents.
This is like giving your insurance fraud team a tireless digital detective that reviews every claim, compares it to millions of past cases, and flags the ones that ‘don’t look right’ for closer human review.
Think of it as a 24/7 digital detective that reviews every insurance claim, compares it against mountains of past cases and patterns, and flags the ones that look suspicious so your human investigators only focus on the riskiest claims.