Implement End-to-End Policy Management Automation

Independent insurance agencies run on an AMS like Applied Epic, Vertafore, or HawkSoft. These platforms are excellent systems of record for client and policy data, but they are not automation engines. They can store a policy document, but they cannot read its contents or compare it to the previous year's version. This architectural limitation creates a massive amount of manual, high-risk work for account managers and CSRs.

Consider the commercial lines renewal process for an agency with 10 employees. An account manager must manually log in to portals for Chubb, The Hartford, and Travelers to download renewal documents. They open the 80-page expiring policy PDF and the 85-page renewal PDF side-by-side. They scroll through, comparing limits, sub-limits, and endorsements, hoping not to miss a critical change in coverage. Finally, they manually key any changes into the AMS and create a task for the producer. This 30-minute, error-prone process is repeated for hundreds of policies every month.

The core problem is that the AMS and carrier portals are closed systems that do not communicate. There is no bridge between them. This forces agency staff to become the human API, copy-pasting data from one screen to another. The consequence is not just wasted time. A missed change to a cyber liability sub-limit or a new wind/hail exclusion can create a significant errors and omissions (E&O) exposure that the agency discovers only after a client's claim is denied.

The first step is a discovery audit of your current policy management workflow. Syntora would map every carrier portal and document type you handle, from ACORD forms to carrier-specific declaration pages. We've built document processing pipelines using the Claude API for complex financial reports, and the same architectural pattern applies directly to insurance policy documents. This audit produces a clear plan for parsing each data source and integrating with your specific AMS.

The technical approach uses a serverless architecture on AWS Lambda to keep hosting costs low, often under $50 per month. A Python-based system would use the Claude API to read and structure data from policy PDFs. This structured data is then stored in a Supabase database. A FastAPI service provides an endpoint that compares the new policy data against the expiring policy's data, generating a summary of all changes exceeding a 3% variance. This summary is then pushed into your AMS, creating a task for the appropriate account manager.

The delivered system is a fully automated background process. When a renewal document is saved to a designated folder, the system processes it in under 90 seconds. Your team receives a task in Applied Epic or Vertafore with a link to a clear, side-by-side comparison of the old and new policies. You receive the complete source code, a technical runbook, and full ownership of the system running in your own cloud account.