Integrate AI with Your Agency Management System Using Custom APIs

Small insurance agencies typically run on an Agency Management System (AMS) like Applied Epic, Vertafore, or HawkSoft. While these platforms are excellent systems of record, their automation capabilities are limited. They cannot natively connect to carrier portals to pull policy details, nor can they feed that unstructured data to an AI model like Claude for analysis. This leaves a significant gap in the workflow.

Consider a 10-person agency processing 20 commercial renewals this month. For each renewal, a CSR logs into 3 different carrier portals. They download PDFs or copy-paste policy details, trying to normalize coverages like 'General Liability Limit' versus 'GL Occurrence Limit'. They manually enter this into a spreadsheet or a note in their AMS. The process takes 25 minutes per client and is prone to transcription errors that could lead to E&O exposure.

Here is why that matters: this is not a problem you can solve with off-the-shelf software. Each carrier has a unique portal, and your agency has a unique mix of carriers. The structural issue is that your AMS is designed to be a closed database, not an open integration hub. Carrier portals have no financial incentive to standardize their data formats. This creates a manual, error-prone integration gap that only a custom solution can bridge.

The engagement would begin by mapping your current policy management workflow. Syntora would audit every carrier portal you use, documenting the login process and the structure of their policy documents or on-screen data. We would also analyze your AMS's API capabilities to plan the integration points. This initial 3-day audit produces a technical specification document you approve before any code is written.

The core of the system would be a FastAPI service hosted on AWS Lambda for low-cost, serverless execution. For carrier portals without APIs, the service uses secure browser automation to log in and retrieve policy information. The Claude API then parses these documents or web pages, extracting key fields like limits, deductibles, and endorsements into a standardized JSON format. Using FastAPI is critical for handling these asynchronous, I/O-bound tasks efficiently. Supabase would store the normalized policy data, creating a queryable database of your entire book of business.

The final deliverable is a simple web application for your team. A CSR would input a client's policy number, and the system would fetch, parse, and display data from multiple carriers side-by-side in under 60 seconds. This normalized data can also be pushed directly into the relevant client record in your AMS via its API, eliminating manual data entry. You receive all source code and deployment artifacts.