Automate Claims Triage and First Notice of Loss for Your Agency

Most small agencies run on an Agency Management System (AMS) like Applied Epic, Vertafore, or HawkSoft. These systems are excellent for policy management and client records, but their automation capabilities are limited to basic reminders. They cannot read an incoming FNOL email, understand the content, and decide if it's a high-severity water damage claim or a simple glass chip claim. This critical first step remains manual.

Consider a 10-person agency after a major storm. The main inbox gets 50 FNOL emails in one morning. A staff member must open each email, read the description, find the policy number, create a new claim record in Applied Epic, and manually assign it to the right adjuster. This process takes 5-10 minutes per claim, creating a backlog of several hours while clients are waiting for a response.

The structural problem is that an AMS is a system of record, not a language processing engine. It's designed to store structured data, not interpret unstructured text from emails or PDFs. Adding true AI capabilities would require a fundamental architectural change they are not built for. This forces agencies into a workflow where a human acts as the bridge between the unstructured outside world and the structured internal system.

The result is slower response times, higher risk of human error during data entry, and valuable staff time spent on administrative triage instead of client communication. During a claims surge, this manual bottleneck can directly impact customer satisfaction and retention.

The engagement would begin with an audit of your last 3 months of FNOL reports. Syntora would analyze the different formats, carrier-specific documents, and language used by your clients. This initial analysis identifies the core data points to extract and establishes the severity scoring rules, which you would help define.

A lightweight FastAPI service would provide an API endpoint to receive incoming FNOLs. The Claude 3 Sonnet API would parse the unstructured text or PDF, extracting key information into a structured JSON format with 99% accuracy. This data would then be fed into a severity scoring module and stored in a Supabase database. The system would be deployed on AWS Lambda for cost-effective, serverless operation, costing under $50/month for typical volumes.

The delivered system would integrate directly with your existing AMS. When a new claim is processed, the system would use the Vertafore API (or equivalent for your AMS) to create a new claim record, attach the original document, and assign it to the correct adjuster. Your team sees the claim appear in their queue within 60 seconds of the email arriving, with all key data pre-filled. You receive the full source code and a runbook.