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Accelerator 02 · Insurance

Claims intake & triage agent

Takes a first notice of loss, checks it against the policy wording, flags fraud indicators and routes it to the right next action.

The problem

  • First notice of loss arrives by email, call-centre notes and portal forms in different shapes.
  • Handlers spend the first touch on reading policy schedules and endorsements instead of deciding.
  • Fraud indicators are caught late because nobody lines up dates, previous claims and policy terms on day one.

What it does

  • Structures the claim into a standard intake record.
  • Checks the loss against policy period, cover, waiting periods, sub-limits and endorsements.
  • Lists fraud indicators with the evidence behind each, without accusing anyone.
  • Recommends a next action (fast-track, survey, investigation, more documents) and drafts the customer message.

Pick a sample claim and see the coverage check, fraud flags and recommended next action.

Live demo: Claims intake & triage agent

Synthetic data only · nothing you type is stored

1. Pick a sample

2. Review or edit the input

872 / 6,000

Please do not paste real personal, patient, customer or confidential data. Use the samples or your own synthetic text.

Output

Intake record, coverage check, fraud indicators and a recommended next action.

The demo first calls the Surge in-house AI server and falls back to a hosted open-source model if it is busy. The badge on the output shows which one answered. Limited to a few runs per visitor per day.

How it integrates

In your deployment the accelerator runs inside your environment, behind your single sign-on, and is connected to the systems below. You choose the hosting and the model.

Systems and APIs

  • Claims management system (create / update claim via API)
  • Policy administration system to fetch schedule and endorsements
  • Email / WhatsApp intake channels
  • Surveyor and investigator assignment queue

Data we need for a pilot

  • Policy wordings and endorsement library
  • 100+ closed claims with outcomes (anonymised)
  • Existing fraud indicator checklist

Where it runs

  • On-prem on the insurer's infrastructure
  • Private cloud tenancy in an Indian region

Open-source models we start with

  • Qwen3-class 14B–32B instruct model
  • BGE-M3 embeddings over policy wordings
  • OCR for scanned bills and estimates

Walkthrough

A short recorded walkthrough of the claims intake & triage agent: the input, the output and how a reviewer uses it.

Next accelerator: Clinical notes to structured summary →

Walkthrough video coming soon

We are recording a short walkthrough of this accelerator. Meanwhile, run the live demo above or book a working session.

Run the insurance accelerator on your data

In a working session we map it to your process, systems and rules, and agree what a pilot must prove before it goes live.