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## Case Study 1: AI Phone Receptionist
**Tagline:** A 24/7 voice AI that handles calls, books appointments, and takes payments ā without a human.
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**The Challenge:**
Service businesses lose significant revenue when calls go unanswered outside business hours or during peak times. Hiring and training front-desk staff is expensive, inconsistent, and doesn't scale. Most small and mid-size operations simply miss calls ā and those missed calls are missed revenue.
**The Solution:**
- Built a voice AI system using Twilio/Telnyx for telephony and Claude API for real-time natural language understanding, capable of handling inbound calls end-to-end
- Integrated appointment booking logic directly into the call flow ā callers can schedule, reschedule, or cancel without speaking to a human
- Connected Stripe for in-call payment processing and n8n for backend orchestration (CRM updates, confirmation emails, Slack alerts)
- Deployed via FastAPI with webhook handlers for call events, SMS follow-ups, and fallback escalation to a human agent when needed
**The Results:**
*(Estimated based on system design and architecture ā not from a specific client engagement)*
- **100% call coverage** ā system designed to handle unlimited concurrent inbound calls with no wait time or missed calls
- **~70% reduction in front-desk workload** ā routine calls (booking, FAQs, payments) handled without human intervention
- **Estimated 4ā6 hrs/day recovered** per staff member previously tied to phone duties
**Tech Stack:**
`Twilio / Telnyx` Ā· `Claude API (Anthropic)` Ā· `n8n` Ā· `FastAPI` Ā· `Python` Ā· `Stripe` Ā· `PostgreSQL` Ā· `Redis`