Insurance

Claims triage, underwriting risk models, and fraud detection for insurers.

Claims TriageUnderwritingFraud Detection
The Challenge

Claims triage speed and fraud detection accuracy directly set your loss ratio, but most claims teams are still working a queue in the order it arrived, not the order of actual risk or urgency.

Our Approach

How We Solve It

Claims triage speed and fraud detection accuracy directly determine loss ratios. We build AI systems that triage incoming claims, score fraud risk, and support underwriting decisions — integrated with your existing claims management and policy administration systems.

Capabilities

What We Build

01

Claims Triage

Routes and prioritizes claims by urgency and complexity automatically.

02

Fraud Risk Scoring

Flags suspicious claims and policy patterns for investigation.

03

Underwriting Models

Risk models that support faster, more consistent underwriting decisions.

04

SIU Case Routing

Prioritizes and routes cases to your Special Investigations Unit.

Delivery Process

How We Deploy It

01

Discover

We study your workflows, data, and systems to find where AI creates real leverage.

02

Design

We architect the models, agents, and integrations around your existing stack.

03

Deploy

The system ships into your environment — on-premises, cloud, or hybrid.

04

Operate

We monitor, retrain, and scale the solution as your business evolves.

Live Example

See It In Action

nezam.ai — insurance-ai
>Triage this week's claims queue and flag high-risk fraud indicators

Triaging 640 open claims across auto, home, and health lines:

Claims Overview
640
Claims Triaged
22
Fraud Indicators
58%
Straight-Through
High-Priority Claims
ClaimLineAmountFraud ScoreStatus
CLM-88214Auto$18,40082%High Risk
CLM-88390Home$6,20061%Review
CLM-88455Health$3,10054%Review
Fraud Flag: CLM-88214 shows staged-collision indicators — 3 prior claims from associated parties. Routed to Special Investigations Unit.
FAQ

Common Questions

How long does implementation take?

Claims triage pilots are typically live in 6-8 weeks against one line of business.

Does this integrate with our claims management system?

Yes, we build against your existing claims and policy administration systems.

How do you validate fraud scoring accuracy?

Models are validated against your historical confirmed-fraud cases before going live, and tuned continuously after.

Want this built for your Insurance operation?

Tell us about your workflows and we'll scope a tailored AI solution.

Other Industries We Serve