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Subrogation recovery
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Insurance · Enterprise Solution

Subrogation recovery

Identify recoverable claims automatically.

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LIVE AI ENGINE
Real-Time Execution Pipeline

Subrogation recovery · Live Event Stream

STREAMING
STAGE 01INGEST
Enterprise Data
Lakehouse & APIs
STAGE 02ACTIVE
Breww AI Kernel
Multi-Agent Engine
STAGE 03ACTION
Automated Action
Low Latency SLA
EVENT MONITOR · INSURANCE
ONLINE

[INGEST] Multi-source telemetry batch synced (2,480 items)

p99: 12.4ms
Throughput: 420 ev/s
ZERO-DRIFT SLA
The problem

What we hear

Recoverable claims slip past overloaded adjusters; SIU only sees the obvious.

Our approach

How we solve it

NLP over claim notes + third-party liability signals flags recovery candidates the day the claim is opened.

Outcomes

Measured impact

  • More claims routed to subro at the right time
  • Higher recovery-per-claim on identified files
  • Better feedback into upstream underwriting

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Automate first-notice-of-loss classification and routing.

Fraud detection

Spot suspicious claim patterns before payout.

Underwriting risk scoring

Consistent, explainable risk grades for every quote.

Customer 360

One profile across policies, claims, and channels.

Policy churn

Predict lapse risk and trigger retention offers.

Catastrophe modelling

Portfolio exposure under climate and event scenarios.

Talk to us

Bring subrogation recovery into production.

Share a couple of lines about your setup — a senior partner will get back within a business day.

Discuss this use case

Tell us about your organization and what problem you are solving.

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Subrogation recovery — Insurance · DataCaffe.ai