REVNI360

Regional Property & Casualty Insurer

Reduced claims intake processing time by 42% with governed AI automation.

42%

Faster intake

Reduced

Status call volume

Maintained

Adjuster oversight

Situation

A regional insurer processed high volumes of FNOL submissions through manual adjuster review. Intake queues created 2–3 day delays on straightforward claims, increasing call center volume and customer dissatisfaction.

What was built

An intake orchestration layer integrating the existing claims platform, document storage, and notification services. AI-assisted classification suggested routes; adjusters approved exceptions through a lightweight review console.

Results

  • Straightforward claims moved through intake 42% faster.
  • Adjuster time shifted from repetitive triage to complex cases.
  • Customer status updates became automated at key milestones.

Python · AWS · Event-driven workflows · Document AI · Existing claims platform APIs

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