Automate Insurance Policy Renewals with Custom AI

Most agencies rely on their AMS, like Applied Epic or Vertafore, for renewal management. These platforms are excellent systems of record, but their built-in automation is limited. They can generate a renewal list, but they cannot log into a carrier portal, download the latest declaration page, compare it to last year's policy, and pre-fill the new application. This leaves your account managers stuck with repetitive, manual data entry.

Consider a 15-person agency with an account manager handling 60 commercial renewals in the next quarter. For each one, the manager logs into the carrier portal, downloads multiple PDF documents, and manually compares coverages line-by-line against the expiring policy in their AMS. They then re-key dozens of fields into a new application. This 30-minute process, repeated dozens of times, is not just inefficient; it is a major source of E&O risk. A single mistyped limit can lead to a coverage gap.

The structural problem is that AMS platforms are not built for process automation across external systems. Their architecture is designed to manage internal data, not to interact with a dozen different, constantly changing carrier websites. Generic automation tools fail because they cannot interpret unstructured documents. They can click and type, but they cannot read a declaration page and understand the difference between an aggregate limit and a per-occurrence limit. This requires intelligence, not just task repetition.

The first step would be a carrier and AMS audit. Syntora would map every carrier portal you use and analyze how data can be accessed, whether through a hidden API or browser automation. We would also define the integration points with your AMS, such as Applied Epic or HawkSoft, to ensure data flows correctly. You receive a detailed architecture diagram and project plan for approval before any code is written.

The system would be a set of AWS Lambda functions. One function would run on a schedule to check carrier portals for upcoming renewals. When a renewal is found, another function using the Claude API would parse the current policy documents to extract key data points. FastAPI would expose an internal API for your team to view renewal status, and Supabase would provide a database to store policy metadata and track the status of each renewal.

The delivered system would operate in the background, creating tasks in your AMS when a renewal needs attention. Ninety days out, a task would appear in the account manager's queue with the pre-filled application and a side-by-side comparison of the old and new policies attached. This turns a 30-minute manual process into a 5-minute review and submission, all within the tools your team already uses.