Build a Voice-First Insurance Claim Live Agent Team

2025-08-09 · Source: unwind ai · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering · Depth: Intermediate, medium

Summary

This tutorial details the construction of an open-source, voice-first First Notice of Loss (FNOL) application for insurance claims, leveraging Google ADK for multi-agent orchestration and Gemini Live for real-time voice interaction. The application allows claimants to describe incidents naturally via voice or text, while an AI agent extracts structured facts, classifies claim types and severity, applies deterministic business rules for missing information, fraud signals, and safety escalations, and generates a Markdown-formatted adjuster handoff packet live during the call. The system ensures consistent decision-making by delegating rule application to Python, reserving Gemini for natural language understanding. The architecture separates data contracts (Pydantic schemas), business logic (policies.py), workflow orchestration (ADK graph), and frontend transport (FastAPI), making it extensible for new claim types and integrations.

Key takeaway

For AI Engineers building voice-first applications requiring both flexible language understanding and rigid business logic, this architecture provides a robust blueprint. You should adopt the hybrid LLM-plus-rules pattern, using ADK for orchestration and Python for deterministic decisions, to ensure accuracy and consistency. This approach minimizes LLM hallucinations in critical areas like fraud detection or safety escalations, while still benefiting from advanced natural language processing for initial intake.

Key insights

Combine LLMs for natural language processing with deterministic rules for consistent decision-making in multi-agent systems.

Principles

• Separate LLM interpretation from deterministic rule application.
• Use Pydantic schemas for data contracts between workflow steps.

Method

The method involves transcribing input, using Gemini to understand and classify claims, applying Python-based deterministic rules for validation and routing, and assembling a structured handoff packet, all orchestrated by Google ADK.

In practice

• Implement voice-first intake for unstructured data capture.
• Use ADK's `SequentialAgent` for complex workflows.
• Integrate FastAPI for real-time, bidirectional voice applications.

Topics

• Voice-First AI
• Insurance Claims Processing
• Google ADK
• Gemini Live
• Multi-Agent Systems

Code references

• Shubhamsaboo/awesome-llm-apps
• Shubhamsaboo/awesome-llm-apps

Best for: AI Engineer, Machine Learning Engineer, NLP Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by unwind ai.