Automate Inbound Call Triage for Your Insurance Agency

Most agencies use a standard phone system's auto-attendant, like RingCentral or Dialpad. These systems can route calls based on keypad input but cannot understand the content of a voicemail. This forces an admin to manually listen, transcribe key details, look up the client in the AMS, and forward a summary to the right adjuster, a process that takes 20-30 minutes per claim.

A typical scenario involves a client leaving a frantic voicemail about a car accident. The message sits in a general inbox until an admin is free. By the time the adjuster receives the summary an hour later, the client is already frustrated. This manual triage creates a bottleneck, especially after a storm when call volume can increase 5x, leading to significant delays and poor customer experience.

Off-the-shelf voice AI platforms are built for large carriers with standardized data, not for independent brokers. They are expensive, inflexible, and rarely offer pre-built integrations for agency management systems like HawkSoft. You are left with a system that cannot access the core information it needs to make an intelligent routing decision.

Syntora's approach to building an AI call handling system for independent insurance agencies begins with a discovery phase to understand your specific call types, routing rules, and data structures. Following discovery, we would design an architecture tailored to your needs.

The system would connect to your existing phone system's API to receive call recordings or transcripts automatically. For transcription, the Deepgram API offers high accuracy for phone audio, making it a strong candidate for this component. Concurrently, the system would pull policy and adjuster assignment data from your AMS, like Applied Epic or Vertafore, to maintain a current map of your client base.

The core logic would be built using the Claude API. Syntora would engineer prompts to ingest the raw transcript, extracting structured data such as claimant name, policy number, incident type, and contact information. A subsequent prompt would generate a concise summary, recommend next steps, and assign a severity score on a 1-10 scale.

A FastAPI application, deployed on AWS Lambda, would serve as the central coordinator. When a call concludes, your phone system would send a webhook to this API. The API would then process the transcript, retrieve the assigned adjuster from a Supabase database that syncs with your AMS, and push a notification to the adjuster via email and Slack. Every AI decision and its confidence score would be logged for audit purposes.

For any claim scoring above a 7, the system would automatically flag it for human review, creating a task for a senior adjuster to verify the AI's summary before further action. Syntora configures structured logging using `structlog` and sets up CloudWatch alarms to monitor for issues such as an API error rate exceeding 1% or latency surpassing 90 seconds. The expected monthly hosting costs on AWS for a system of this design are typically under $50. The deliverables for such an engagement include a deployed, custom-built AI call handling system, complete source code, and comprehensive documentation.