AI Insurance Carrier Quote Comparison Agent

How Cassidy automates insurance carrier quote comparison using AI

Step 1: Trigger on new submission

The Workflow activates when a submission arrives—whether from an ACORD PDF, email intake, or AMS entry—and extracts insured data, exposures, class codes, and coverage requirements into a structured format.

Step 2: Enrich and validate risk data

Cassidy pulls third-party data for property replacement costs, MVR records, loss history, and business attributes, then validates addresses and classifications to ensure accurate rating.

Step 3: Screen appetite and eligibility

The Workflow queries appetite directories to match the risk against carrier and MGA criteria by class, state, and line of business—routing only to markets likely to write the account.

Step 4: Orchestrate rating across carriers

Cassidy calls real-time rating APIs where available and bridges to carrier portals for risks requiring manual underwriting, auto-filling questions and uploading required documents like loss runs and supplemental apps.

Step 5: Normalize quotes and build comparison matrix

Returned quotes are parsed and mapped to a common coverage taxonomy—limits, deductibles, sublimits, key endorsements, premiums, fees, and bindability flags—then assembled into a side-by-side comparison.

Step 6: Generate proposal and recommendation

Cassidy drafts a client-ready proposal highlighting trade-offs between price, coverage breadth, and carrier strength, with a recommendation rationale that documents suitability for E&O defensibility.

Step 7: Facilitate bind and update AMS

Once the client selects a market, the Workflow confirms subjectivities, initiates bind via API or portal, generates binder and COI documents, and syncs policy data back to the AMS with renewal remarketing tasks scheduled.