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Modeled operator

PolicyDesk AI

Quote request to submission-ready packet, without the copy-paste.

Modeled operator

$2,500/mo per agency · ~36k independent agencies

Most submissions die because the broker ran out of time on a Friday. That's the real bottleneck.

PolicyDesk AI is the AI workforce that turns a quote request from an agency into a submission-ready packet that carriers actually look at. The broker keeps their relationships and their judgment. The agents handle the volume.

The starting résumé

A working commercial broker with 10–15 years inside an independent agency. Knows submissions, renewals, ACORDs, loss runs, and the producer-ops choreography that no insurtech founder has ever lived through.

The AI workforce

  • Submission Intake — pulls structured data from the broker's email, phone, and form intake
  • Document Request — chases producers and prospects for the missing pieces
  • Application Assembly — drafts the carrier-ready packet
  • Producer Review — preps the broker's review queue with red-flagged inputs

Four agents. The broker stays in the approval loop on anything that goes to a carrier under their name.

The first customer

Almost always the broker's current or former agency. The pilot is a single producer pod inside that agency, sized to prove the packet quality before opening the spigot.

The numbers we model

| Path | Annual run-rate | Reasoning | | --- | --- | --- | | Conservative | ~$300k | A handful of niche agencies on $2,500/mo | | Expected | ~$1.5M | Steady niche expansion within one regional book | | Upside | ~$6M | National rollout via producer-to-producer trust |

Market size: roughly 36,000 independent agencies in the U.S. Addressable ARR ceiling: ~$1B before competition becomes the bottleneck.

The numbers above are modeled on category structure, not on a signed customer. Real operators set their own pricing, packaging, and pace.

Run the model on your résumé.

MinuteWork takes a real résumé, finds the workflows worth automating, and packages an AI workforce around them.