Design the intake API to accept minimum viable business data: business name, address, industry class code (SIC or NAICS), years in business, annual revenue, and desired coverages (BOP, GL, WC).
Map the intake data to your rating engine's risk classification inputs; invoke the rating API to retrieve an indicative premium and coverage options for each requested line.
Expose a /quote endpoint that returns structured quote objects (quoteId, premium, coverages, limits, effective date, expiration date) with a configurable TTL (typically 30 days for small commercial).
On bind request, validate the quote is still within TTL, run any required MVR, CLUE, or business credit checks via third-party data APIs, and apply any underwriting rules that were deferred at quote stage.
Issue the policy by POSTing the bound quote to the policy admin system's policy-issuance endpoint; receive the policy number, declarations, and billing schedule.
Return the policy number, effective date, and document download URLs to the embedding partner via webhook or synchronous response; trigger delivery of the dec page to the insured.
Known gotchas
Small-commercial embedded flows often skip underwriting questions that are required for accurate pricing; insufficient intake data leads to post-bind rescissions or adverse selection — define the minimum data set carefully with your actuarial team.
State surplus lines rules may apply if your admitted market cannot write certain classes; embedding a non-admitted product requires surplus lines stamping and tax remittance that must be built into the issuance workflow.
Quote-to-bind conversion tracking is critical for embedded channels; ensure every quote event is logged with partner ID, class code, and quote outcome to identify conversion drop-off and pricing issues.
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