Calculate the ROI of AI Automation for Your Agency

Most agencies try to solve this with people. An admin spends their morning reading the inbox, manually deciding if a First Notice of Loss (FNOL) is a simple glass claim or a major commercial liability issue, then forwarding it. A high-severity claim can sit for hours if that person is on a call, and this manual routing introduces inconsistent assignments and data entry errors.

Built-in AMS workflows in systems like Applied Epic or HawkSoft can trigger reminders, but they cannot intelligently parse an unstructured email. They can't read an FNOL report, score its severity, and route it based on content. This leaves the highest-value initial step entirely manual. You are paying for a powerful system but still using it like a simple contact database for your most urgent tasks.

Off-the-shelf AI tools for insurance are built for national carriers, not a 15-person independent agency. They demand enterprise-level pricing, long implementation cycles, and a one-size-fits-all model. They fail to integrate with your specific workflows and can't be customized to your agency's unique routing rules, forcing you to change your process to fit their software.

Syntora would start an engagement by establishing connections to your data sources. For claims triage, this would involve setting up an AWS SES webhook to receive emails from your dedicated claims inbox in real time. We would use official APIs to integrate with your Agency Management System (AMS), whether it is Applied Epic, Vertafore, or HawkSoft. A data analysis phase would then map your existing routing patterns and outcomes by examining historical claims data.

The core logic for such a system would run on AWS Lambda. Upon email arrival, an AWS Lambda function would trigger, passing the content to the Claude API. Syntora has experience building document processing pipelines using Claude API for financial documents, and similar prompt engineering principles apply to insurance documents. We would design and engineer prompts for the Claude API to extract structured data such as policy number, claimant details, and incident description. The model would then score the claim's severity on a 1-10 scale. All API calls, responses, and scores would be logged to a Supabase table for a complete audit trail.

Once a claim is scored, a FastAPI service would implement the routing logic. This service would query your AMS to determine the appropriate adjuster based on claim type, licensing, and current caseload. The delivered system would generate a summary, recommend next steps, and create a new activity or task directly in the adjuster's AMS dashboard.

Syntora would design and implement a human-in-the-loop process for high-stakes decisions. For example, claims scored 8/10 or higher could automatically post an alert to a private Slack channel for a manager to approve before assignment. All system actions would be logged with structured data using structlog and sent to AWS CloudWatch. This provides full visibility and allows for setting up alerts for any anomalies. Indicative cloud infrastructure costs for processing over 1,000 claims are typically under $50 per month.