Broker submission classification

Classify synthetic insurance submissions by the requested coverage.

Step 01

Define and Align

Upload sample data, define your output schema, and provide feedback on the hardest cases.

Output schema
LineChoose one

Coverage requested in the submission, not background attachments.

  • cyber
  • general_liability
  • property
  • commercial_auto
  • needs_review
Submission typeChoose one

Whether a new quote or renewal is requested.

  • new_business
  • renewal
  • unspecified
Missing informationList of values

Information needed to classify or route the submission.

app.sutro.sh/functions/broker-submission-classification
Collecting feedback · 1/3
Classify synthetic insurance submissions by the requested coverage.
Example 1 of 3

Attachment versus request

Model input

Email requests cyber coverage and attaches last year’s property schedule as background.

Model output
Line
Submission type
Missing informationMultiple values

Step 02

Model Sweep

Compare quality and cost on your examples, then choose a model or use Sutro’s default.

Compare models on expert agreement and cost. The interactive chart uses illustrative measurements.

Illustrative sweep · select Value or Best to use that model in your function.

Step 03

Deployment

Call Sutro Functions like any other software. Swap the model as soon as something more performant is released.

Selected modelWaiting for sweep results.

Real-time

import sutro as so

input_data = {
    "text": "Email requests cyber coverage and attaches last year’s property schedule as background."
}

result = so.run_function(
    "broker-submission-classification",
    input_data,
)

Batch

import sutro as so

job_id = so.batch_run_function(
    name="broker-submission-classification",
    data="broker_submission_classification.csv",
)
results = so.await_job_completion(job_id)

Ready to get started?

Book time with the team

Join the self-serve waitlist

What are your bottlenecks? (Select any that apply)