Languages and Technologies Used:
- Programming Language:
- Python for call flow logic, webhook endpoints, and integrations.
- Telephony + Voice:
- Twilio Voice for inbound/outbound calling, call control, and status callbacks.
- DTMF support (Press 1/2) for rep routing and confirmations.
- Text-to-Speech (TTS) support for natural voice prompts (Twilio voices / Polly-ready architecture).
- Speech-to-Text (STT) ready design for capturing rep responses when needed.
- Web + APIs:
- Flask (Python) for Twilio webhooks (TwiML responses) and REST endpoints.
- JSON-based call state machine to keep conversations predictable + compliant.
- Secure request validation for Twilio webhooks (signature verification).
- Infrastructure + DevOps:
- Docker + Docker Compose for consistent local/dev/prod environments.
- Nginx reverse proxy in front of the app (TLS + routing).
- Webhook endpoints designed for cloud tunneling during development (ngrok / Cloudflare Tunnel compatible).
- Logging + structured events for troubleshooting call outcomes (answered, busy, voicemail, failed).
- Data + Storage (extensible):
- SQLite/Postgres-ready schema for call records, outcomes, transcripts, and follow-ups.
- Exportable call summaries for billing teams (CSV/JSON).
Features:
- Inbound + Outbound Workflows:
- Outbound: Calls payers/claims departments to verify claim status and payment date.
- Inbound: Routes incoming calls to the right prompt flow (status check, documentation requests, follow-ups).
- Voicemail detection path + optional voicemail drop message.
- Deterministic “Safe” Conversation Engine:
- State-machine call flow (step-by-step prompts) to reduce hallucinations and keep calls consistent.
- Collects claim identifiers one-by-one (NPI, DOS, member ID, billed amount, etc.).
- Asks for standardized outcomes (received / in process / pending / denied / paid).
- Call Controls + User Input:
- DTMF menus for quick routing: “Press 1 for claims, Press 2 for provider services,” etc.
- Handles interruptions, silence timeouts, and rep “one moment” waits.
- Post-Call Summary + Next Actions:
- Auto-summary of outcome (status, reference number, payment date if paid, denial reason if denied).
- Creates follow-up tasks (call back in X days, request documents, escalate to human).
- Security + Compliance Considerations:
- Minimal PHI exposure design (only requests necessary identifiers).
- Configurable redaction rules for logs/transcripts.
- Environment-variable secrets management for API keys and webhook configs.
System Architecture (High Level):
- Twilio → Webhook (Flask) → Call Flow Engine → TwiML response
- Optional: STT → LLM (limited/summarize) → TTS
- Database records: calls, outcomes, transcripts, follow-ups
Product Highlights:
- Designed for real-world billing workflows: claim status checks + payment confirmation.
- Scales from a single script to a full platform (multi-client, multi-number, templates per payer).
- Built to be reliable first (deterministic flows), with “AI upgrades” layered safely on top.