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Insurance Claims Processor

Automate claims intake from document to adjuster queue.

Insurance Claims Processor

The Problem

A mid-size insurer processing 200+ claims daily faces a bottleneck that compounds during storm seasons. Each claim requires extracting data from photos, PDFs, and handwritten forms, then cross-referencing policy details and running fraud checks before routing to the right adjuster. Adjusters spend roughly 70% of their day on document intake rather than assessment work.

The industry is under pressure from regulators mandating faster turnaround and policyholders expecting digital-first experiences. Incumbents rely on legacy claims management systems never designed for unstructured document intake. Manual data entry introduces error rates averaging 5-8%, and fraud detection depends on individual adjuster experience rather than pattern analysis across the full claims corpus.

Tractable has demonstrated that computer vision can assess vehicle and property damage from photos. Shift Technology uses ML to flag suspicious claim patterns. The question is no longer whether AI works for claims — it is how fast a carrier can integrate these capabilities without a multi-year platform migration.

The Solution

This agent ingests claim documents from any channel — email attachments, portal uploads, fax scans, mobile photos — and runs layout-aware extraction using transformer-based document understanding models (LayoutLM architecture) to pull policy numbers, claimant details, incident dates, damage descriptions, and supporting evidence without per-template configuration.

It cross-references your policy administration system in real time, verifying coverage terms, deductibles, and exclusions. Simultaneously, it runs anomaly scoring against your historical claims data using gradient-boosted models trained on your own loss history, surfacing claims that match known fraud typologies — staged accidents, inflated repair estimates, phantom claimants.

The agent integrates via API with Guidewire ClaimCenter, Duck Creek, and Majesco. Clean claims are auto-routed to the appropriate adjuster queue with a structured summary: what was claimed, what the policy covers, and any flags. Adjusters open a claim and see structured data ready for a decision.

How It's Built

Productized service. A senior engineer leads integration with your claims management system (Guidewire, Duck Creek, or Majesco) and policy database. Document extraction models are fine-tuned on your document types during a 2-week configuration phase. Fraud scoring models train on your historical claims data. Typical deployment: 3-4 weeks.

Capabilities
01

Layout-Aware Document Extraction

Uses transformer-based document understanding (LayoutLM architecture) to extract structured fields from PDFs, photos, scanned forms, and handwritten documents without per-template configuration.

02

Real-Time Fraud Scoring

Gradient-boosted anomaly detection trained on your historical claims data. Surfaces suspicious patterns — duplicate claims, inflated estimates, phantom claimants — before they reach an adjuster.

03

Policy Cross-Reference Engine

Queries your policy administration system in real time to verify coverage terms, deductibles, limits, and exclusions against active policy data.

04

Intelligent Adjuster Routing

Routes claims to the right adjuster queue based on claim type, complexity score, coverage line, and current workload. Includes pre-filled assessment summaries.

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