Connect Your AMS to AI with Custom API Development

Most independent agencies run on an Agency Management System (AMS) like Applied Epic, Vertafore AMS360, or HawkSoft. These platforms are excellent systems of record, built for compliance and stability. They were not, however, designed as open, interoperable platforms. Their APIs are often SOAP-based, limited in scope, or come with significant additional licensing fees, effectively walling off your data.

Consider an agency with 15 employees trying to automate its renewal process. A Customer Service Representative (CSR) runs a report in HawkSoft to find policies expiring in 90 days. They manually review each policy, draft a personalized email, attach the prior year's documents, and track everything in a separate spreadsheet. They cannot trigger this workflow automatically from HawkSoft because the AMS has no concept of webhooks for events like 'policy expiring soon.'

The structural problem is that an AMS is architected as a data fortress, not a data hub. Its goal is to secure policyholder information, not to share it with other applications in real time. This means any attempt to connect a modern tool fails at the source. You cannot build an AI feature that parses a competitor's quote PDF and writes coverage gap analysis back into the client's notes field because the AMS provides no pathway to do so programmatically.

The result is hours of manual data entry and re-entry each month. This administrative burden isn't just inefficient; it introduces a high risk of errors and omissions (E&O). A miskeyed date can lead to a coverage lapse, and time spent copying data is time not spent advising clients, directly impacting agency growth and profitability.

The first step is a technical audit of your AMS. Syntora would work with your team to map the exact data fields required for your desired AI workflow, such as renewal processing. We would investigate all available data access methods, whether it's a documented API, direct database access, or automated report parsing. This audit results in a clear data map and integration strategy, which you approve before any build begins.

The technical approach would involve a lightweight Python service using FastAPI. For a renewal automation workflow, this service would run as a scheduled AWS Lambda function. Each day, it would query the AMS for policies expiring in 90 days, retrieve the latest policy documents, and use the Claude API to extract key coverages. This extracted data would then be used to populate a personalized email template. Pydantic schemas would be used to enforce strict data contracts between the AMS and the AI model, preventing data corruption.

The delivered system is a set of serverless functions deployed into your own AWS account, giving you full control and ownership. The system would connect to your existing email provider to send automated communications, and you would have a monitoring dashboard to track all activity. For an agency processing up to 1,000 renewals a month, the ongoing AWS hosting costs would typically be under $50.