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AI · Client Story

Automating document intake for a growing insurance agency

A fast-growing MGA specializing in habitational and commercial property risk, with submission volume nearly tripling over eighteen months as new retail partnerships came online.

Diverse team collaborating with laptops and documents in a modern office
70%less manual data entry
~45%faster submission-to-quote time
0additional intake hires needed for growth

The challenge

  • A three-person intake team was manually re-keying ACORD applications and loss-run PDFs into the agency management system, averaging 25–30 minutes per submission.
  • Submission volume was growing faster than the team could hire and train, creating a backlog that delayed quotes and frustrated retail partners.
  • Data entry errors from rushed manual keying were surfacing downstream in underwriting, requiring rework.

The approach

  • Document intelligence was deployed to read incoming ACORD applications and loss-run documents directly, extracting structured data into the AMS without manual re-typing.
  • The intake team's role shifted to reviewing extracted data for accuracy and handling the exceptions the system flagged, rather than keying every field by hand.
  • Extraction accuracy was validated against a sample of historical submissions before go-live, and a two-week parallel-run period compared automated output against manual entry before fully cutting over.
Where they landed

The agency absorbed a further 40% volume increase the following year without expanding the intake team.

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