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Case study

Claims automated end-to-end for property & casualty.

The carrier had strong digital intake but manual decisioning across triage, fraud review, and settlement. We rebuilt claims operations around process mining, orchestration, and human-in-the-loop controls so straight-through processing could scale without increasing leakage.

38 hours
average resolution time after transformation
91%
straight-through processing
+18
NPS improvement in 12 months
14 days
former average claim cycle time

The situation we walked into.

Digital claim submission was already live, but the real work still happened in swivel-chair handoffs between adjusters, document teams, and payment operations. As claim volumes rose, cycle times stretched and customer sentiment deteriorated.

The client wanted automation without creating a black box. Any new model had to be auditable, easy to override, and explicitly tuned for complex weather, liability, and fraud scenarios.

A simplified view of the delivery shape, the control points that mattered, and the signals the client team used to keep the program on track.

Program workstreams

The changes that made the outcome possible.

Stream 01

Process mining

We traced every manual touch, exception route, and rework pattern across home, auto, and commercial lines.

Stream 02

Decision orchestration

Rules, models, and document services were wrapped in a single claims workflow with visible checkpoints.

Stream 03

Human-in-the-loop controls

Adjusters could intervene on confidence thresholds, special handling flags, and suspicious claim combinations.

Stream 04

Operations transition

The operations team moved to exception management, model tuning, and proactive outreach instead of queue clearing.

Execution rhythm

How the delivery moved from pilot to scaled operation.

Weeks 1-6

Claims baseline

The carrier gained a fact base on the real sources of delay, leakage, and avoidable rework.

Weeks 7-12

Automation spine live

Low-complexity claims began routing through rules and document services with human checkpoints.

Weeks 13-20

Fraud and exception tuning

Confidence thresholds and specialist routing were calibrated using live claim outcomes.

Weeks 21-32

National rollout

The new workflow expanded across lines of business with service-level dashboards and QA feedback loops.

Twelve months later

What changed after the transformation settled into the run.

Outcome 01

Customers stopped chasing status

Most policyholders received a decision path and expected settlement timing within the same business day.

Outcome 02

Adjusters focused on the right work

Specialists spent more time on complex disputes and less time on routine triage or documentation gaps.

Outcome 03

Controls improved while the process sped up

Every automated decision remained explainable to auditors, regulators, and claims leadership.

"
We didn't want a claims robot. We wanted a process that made our best people available for the claims that really need them.
Chief Claims Officer - Top-10 insurer

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