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See what intake really costs your underwriters, and what AI gives back. Three quick steps.
Start with what comes through the door.
The small ones. Adding a truck, swapping a driver, changing an address.
Last bit. This turns the hours into a number you can compare.
These drive the model. Change any of them and the numbers update.
Measured results at a US transportation MGA of roughly 20 to 25 staff, about 10 of them underwriters, distributing through 130+ appointed retail agencies.
This is a planning estimate built from the numbers you entered. It is not a quote and not a guarantee. Your result will move with your document mix, your carrier panel, and how much of your review is genuine underwriting judgement.
Two things are deliberately excluded. Underwriting judgement time is not counted as a saving, because a person still makes the decision on anything that needs one. And no revenue effect is modelled, even though faster turnaround tends to pull more submissions from agents, because we have not measured that and will not claim it.

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40+
Enterprise engagements
$10B+
Client revenue represented
1M+
Hours saved













