How to Choose an AI Platform for Your Insurance Agency
A vendor-agnostic checklist for choosing an AI platform for your insurance agency — data handling, integrations, compliance, and total cost.
The right AI platform for your agency depends less on the model and more on how the vendor treats your data, your integrations, and your compliance obligations.
Use this checklist before you sign anything.
Data - Where is your data stored, and where does inference run? - Is your data used to train the vendor's model? (Answer must be no.) - Retention: how long, and can you delete on demand? - Do they sign a BAA if you touch any health information?
Integrations - Does it integrate with your AMS (Applied, Vertafore, HawkSoft, EZLynx)? - Native or Zapier/Make-only? Native is preferred for anything transactional. - Webhooks in and out? Necessary for real workflows.
Compliance - E&O carrier reviewed / approved? - Audit log accessible without opening a support ticket? - Human-in-the-loop supported for any client-facing action?
Total cost - Per-seat, per-usage, or blended? - What breaks if you exceed limits — hard stop, throttle, or overage? - Cost of implementation (yours and theirs) in month one?
A vendor that fumbles two of these categories will fumble the third when it matters most.
Arend has spent the last decade inside independent insurance agencies — first as a producer, then as an operator building AI-native workflows. He now writes the field notes at TheAIAgent.pro, where he tests every prompt, tool and automation on real books of business before recommending it.
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