AI Submission Assistant
Underwriting desk
A restaurant GL submission with four files
oyyo filled the application, noticed no loss runs and drafted the ask.
Harbor Lane Kitchens LLC, a restaurant group with three locations (fictional)
Example on test data. The insured is made up.
Came in
A broker email to the program’s AI mailbox in oyyo, with four PDFs.
- Commercial application4 pp.
- Liability section4 pp.
- Restaurant supplemental6 pp.
- Inspection report with photos28 pp.
oyyo filled the rater inputs and cited each source page. Unclear values were flagged for review. Once loss runs arrived, the rater priced the risk.
Step by step
- Them The broker email arrives with four PDFs. The submission opens in intake.
- oyyo First values filled, with their sources.
- oyyo Two values are flagged for underwriter review: liquor sales share and seating count.
- oyyo Missing loss runs are flagged. One broker ask is drafted with an upload link.
- You The underwriter verifies both flagged values and presses Send on the broker request.
- ThemNext day The broker uploads three years of loss runs via the link. No more asks are needed.
- oyyoNext day Loss runs are read and summarized. The rater calculates the premium.
- oyyoNext day The draft quote PDF waits in the submission for review.
- YouNext day The underwriter reviews the draft quote and presses Send to the broker.
The values
| Field | Value | Source |
|---|---|---|
| Named insured | Harbor Lane Kitchens LLC | Application · p. 1 |
| Locations | 3 | Application · p. 2 |
| Annual sales | $3,180,000 | Supplemental · p. 2 |
| Liquor share of sales | 22%Checked | Supplemental · p. 3 |
| Seating | 140 seatsChecked | Supplemental · p. 4 |
| Hours | Lunch to late night | Supplemental · p. 5 |
What oyyo caught
Three years of loss runs were missing. oyyo drafted one broker request with an upload link.