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AI Commercial Property Risk Assessment Playbook

A commercial lines underwriter has received a submission for a $14M property risk: a 6-story mixed-use building in a coastal Florida market with roof age of 17 years and no recent inspection. The applicant is requesting a rate 12% below the underwriter's filed rate. Hurricane season starts in 60 days.

When to use this playbook

  • Use this playbook when the decision looks like the situation above: A commercial lines underwriter has received a submission for a $14M property risk: a 6-story mixed-use building in a coastal Florida market with roof age of 17 years and no recent inspection.
  • It is a fit when you have source files in hand and need a structured, reviewable analysis — not a generic chat answer about "Commercial Property Risk Assessment".
  • Do not use it as a substitute for licensed, legal, clinical, or authorized official judgment in the domain.

What you'll need

  • Submission application with property specifications
  • Loss history (5 years)
  • County flood zone determination
  • Roof inspection report (17 years old, no current inspection)
  • Your carrier's filed rate and underwriting guidelines for coastal Florida
  • Reinsurance treaty terms for coastal wind exposure

Attachments: Documents (Documents)

The Prompt

You are a commercial property underwriter evaluating a coastal Florida submission with adverse characteristics. I am attaching:

Work only from the attached source files. If a conclusion is not supported, say so.

Produce:
1. Calculate the risk-adjusted premium based on hurricane exposure, roof age, flood zone, and construction type—using current PML methodology.
2. Identify the specific underwriting guideline violations or exceptions required to write this risk at any price.
3. Assess the loss history: are prior losses consistent with the property characteristics, or do they suggest maintenance or management issues?
4. Determine the reinsurance impact: does this risk approach treaty attachment points in a single event or aggregate scenario?
5. Tell me whether to decline, counter-offer with conditions (roof certification, rate adequacy), or write as submitted—and draft the underwriting rationale for the file.

Call out where independent models are likely to disagree, and list follow-up documents a reviewer should request.

What to expect

  • Risk-adjusted premium calculation
  • Underwriting guideline exception inventory
  • Loss history quality assessment
  • Reinsurance exposure analysis
  • Decline/counter/write recommendation with file rationale

Review before you act

  • Validate this output against source files before relying on it: Calculate the risk-adjusted premium based on hurricane exposure, roof age, flood zone, and construction type—using current PML methodology.
  • Validate this output against source files before relying on it: Identify the specific underwriting guideline violations or exceptions required to write this risk at any price.
  • Validate this output against source files before relying on it: Assess the loss history: are prior losses consistent with the property characteristics, or do they suggest maintenance or management issues?.
  • Validate this output against source files before relying on it: Determine the reinsurance impact: does this risk approach treaty attachment points in a single event or aggregate scenario?.
  • Confirm every cited figure, date, counterparty, or requirement against the attached originals — models compress and can drop a qualifier.
  • Treat disagreement between models as a review item, especially on classification, materiality, and recommended next action.
  • Do not authorize an operational, clinical, legal, credit, or enforcement action solely because the models agree.

Why compare models on this

For Commercial Property Risk Assessment, running the same attachments across independent models is useful because the hard part is classification and completeness, not fluency. The workflow is already designed to surface risk-adjusted premium calculation; underwriting guideline exception inventory; loss history quality assessment; reinsurance exposure analysis. Those are comparison artifacts — they only exist if more than one model runs. Models split on tail scenarios, aggregation, and whether a hazard is excluded. Divergence is a referral to a specialist underwriter, not a silent average of three prices.

Insurance UnderwritingCore Commercial LinesRisk AssessmentHighDocuments

See governed multi-model AI on your own prompt

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