Calculate the ROI of AI Automation for Your Agency

Many agencies rely on their Agency Management System (AMS) like Vertafore AMS360 or Applied Epic for core operations. These systems are excellent databases but their automation features are often limited to basic email templates and task reminders. For complex tasks like comparing quotes from five different carrier portals, agents are forced outside the AMS. They manually log in, re-enter customer data, and copy-paste results into a spreadsheet, a process ripe for human error.

Consider the commercial lines renewal process for a 10-person agency. An account manager needs to prepare a renewal for a general contractor client. This involves logging into portals for Chubb, The Hartford, and three specialty carriers. They download the expiring policy, then manually pre-fill applications for each carrier, often re-typing dozens of ACORD form fields. The entire process takes 45 minutes of non-billable, low-value work for a single client renewal.

The structural problem is that each carrier portal is a walled garden with a unique data format. Your AMS can't speak their language directly. Tools like IVANS Download help with some data exchange, but they don't cover specialty carriers or complex commercial lines. There is no central platform that can programmatically pull policy details, normalize them, and present a true side-by-side comparison for the agent.

This manual work isn't just inefficient; it caps an agency's growth. Each account manager can only handle a certain number of renewals per month before quality drops or deadlines are missed. The risk of data entry errors can lead to incorrect quotes, E&O exposure, and damaged client trust. Hiring more staff is a linear solution to an exponential data problem.

The first step is to audit your three most time-consuming manual workflows. Syntora would map the exact data entry, document retrieval, and communication steps for tasks like claims intake or policy comparison. We'd review your AMS (Applied Epic, Vertafore, HawkSoft), the carrier portals you use, and the format of documents like FNOL reports. This audit produces a clear technical plan for automation.

For a renewal workflow, the system would use a FastAPI service running on AWS Lambda. Python scripts would handle the browser automation to securely log into carrier portals and extract policy data. The Claude API would then parse these varied documents (PDFs, HTML) into a standardized JSON format, normalizing fields like coverage limits and deductibles. This structured data is then stored in a Supabase database. This approach provides a processing time of under 90 seconds per policy.

The delivered system is an internal tool that integrates with your AMS. An account manager could trigger a renewal process from within Applied Epic, and the system would return a complete side-by-side policy comparison in under 2 minutes. You receive the full Python source code, a runbook for maintenance, and an architecture that costs less than $50 per month to run on AWS.