Integrate Your Legacy Insurance AMS with Modern Automation

Independent agencies run on AMS platforms like Applied Epic, Vertafore, or HawkSoft. These systems are excellent for internal record-keeping but operate as closed ecosystems. Their APIs, when available, are often outdated, poorly documented, or have restrictive rate limits, making real-time integration with modern tools nearly impossible.

Consider an agency with 15 employees processing renewals. For each client, an account manager manually logs into three separate carrier portals. They download PDFs of the expiring and proposed policies, then painstakingly type coverage limits and premiums into a spreadsheet for comparison. This process takes 45 minutes per client and is riddled with the risk of costly data entry errors.

The agency cannot solve this with generic automation. A screen-scraping tool breaks every time a carrier updates its portal's layout. The AMS's built-in workflow features can create internal tasks but cannot reach outside the system to fetch and compare external policy documents. The tools you have simply cannot talk to each other in a meaningful way.

The structural problem is an architectural mismatch. Your legacy AMS stores data in a rigid database schema, sometimes on a server in your office. Modern AI tools, like the Claude API for document parsing, expect to send and receive flexible JSON data over fast, modern REST APIs. No off-the-shelf software exists to bridge this gap for the nuanced work of comparing insurance policy language.

An engagement would start with a workflow audit. Syntora maps your exact policy management process, from logging into carrier portals to the final format of your comparison spreadsheet. We review your AMS data structure and the specific data fields required, creating a clear blueprint for the integration before any code is written.

The technical approach would use a FastAPI service hosted on AWS Lambda for efficient, low-cost operation. This service acts as the central hub. For portals without APIs, we use Python with Playwright for reliable browser automation that can handle complex logins and dynamic web pages. Policy documents are passed to the Claude API, which extracts and normalizes key data points like liability limits and deductibles into a structured format stored in a Supabase database. A typical data extraction and normalization cycle would complete in under 90 seconds.

The delivered system is a private API that your team can access through a simple web interface. An account manager enters a client ID, and the system pulls current policy data from your AMS, fetches new quotes from carrier portals, generates a side-by-side comparison PDF, and writes a summary back to your AMS. You receive the complete Python source code, deployment instructions, and full ownership of the system running in your cloud account.