## Case Study 1: AI

## Case Study 1: AI Phone Receptionist

**Tagline:** A 24/7 voice AI that handles calls, books appointments, and takes payments — 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 — 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 — 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 — not from a specific client engagement)*

- **100% call coverage** — system designed to handle unlimited concurrent inbound calls with no wait time or missed calls

- **~70% reduction in front-desk workload** — routine calls (booking, FAQs, payments) handled without human intervention

- **Estimated 4–6 hrs/day recovered** per staff member previously tied to phone duties

**Tech Stack:**

`Twilio / Telnyx` · `Claude API (Anthropic)` · `n8n` · `FastAPI` · `Python` · `Stripe` · `PostgreSQL` · `Redis`