Settle claims in minutes, not weeks—with higher accuracy and lower costs
Autonomous agents that intake, assess and settle insurance claims while detecting fraud.
Who it’s for
P&C, health and life insurers seeking to reduce processing costs, detect fraud and deliver faster payouts.
What it looks like in the field
- Auto‑approve simple claims with transparent rationale
- Reduce cycle time and cost while increasing accuracy
- Detect and flag potential fraud early in the process
Capabilities
- OCR document ingestion
- Automated triage and routing
- Computer‑vision damage assessment
- Fraud detection models
- Real‑time customer updates
How it works
- Ingest incident reports, photos, and policy data
- Extract entities, classify claim, route or auto‑approve
- Estimate damage, score fraud risk, decide
- Settle payment and notify the customer
Common integrations
Guidewire/Duck Creek, DMS, payment processors, customer portals.
KPIs
Cycle time, cost per claim, fraud‑detection rate, CSAT, % auto‑approved.
Security & compliance
On‑prem deployment for sensitive data; audit logs; industry compliance.
Rollout (4–8 weeks)
Start with a narrow claim type; integrate data/OCR; calibrate models; expand.
Recommended Utlyze tier & pricing
Autonomy Suite
Setup: — —/month
Full claims life‑cycle automation
FAQs
Will customers accept AI decisions?
Simple claims can auto‑approve with clear explanations; complex cases escalate to human adjusters.
How is fraud detected?
Models analyze patterns and anomalies across datasets; flagged cases route to human review.
Outcomes depend on line of business, data quality, and guardrails. Typical ranges shown. On‑prem processing; human‑in‑the‑loop for complex claims.