A team of professionals collaborating on AI technology solutions in a modern office.

AI Receptionist

Project Type
 Voice AI Automation

Client
Ecommerce Store

We built a virtual gatekeeper that:
✔️ Fields 100+ Calls/Day – No missed opportunities
✔️ Knows Your Business – FAQs, hours, directions
✔️ Warm Transfers – “Let me connect you with Sarah!”
✔️ Learns Over Time – Gets smarter with every call


Tech Stack:
Retell AI (Voice) | Make.com (Brain) | GPT-4 (Knowledge)
Twilio (Call Logs) | Google Workspace (Team Directory)


📞 The Call Chaos

A growing company faced:

  • 15min/call explaining basics (“Where are you located?”)

  • 40% missed calls during lunch/after hours

  • Sales team wasting time on wrong leads

  • Zero call analytics – flying blind


🤖 How the Bot Saves Sanity


(Visual: Call → FAQ/Transfer → Log → Follow-Up)


Your 24/7 Digital Employee

Call TypeActionTech Used
📋 FAQsAnswers instantlyGPT-4 Knowledge Base
🎯 SalesRoutes to correct repCRM Integration
🚨 UrgentWarm transfer to managerPriority Escalation
📝 LogsTracks call metricsTwilio Analytics

🛠️ Building the Bot Brigade


Phase 1: Setup 

  • Fed company info to GPT-4:
    Hours, team roster, product specs

  • Created escalation matrix:
    “Complaints → Manager | Sales → Team A”

  • Integrated Slack for live alerts


Phase 2: Call Logic

[Call Start] → [Intent Detection] → [FAQ/Transfer]  
→ [CRM Update] → [Post-Call Summary]

Phase 3: Voice Training

Programmed brand voice:
📢 Friendly but professional
📢 Local accent matching (“Y’all” vs “You guys”)
📢 Knows when to say “Let me get a human!”


Phase 4: Stress Test

  • Simulated 50+ call types:
    “What’s your return policy?”
    “I need to cancel service!”
    Heavy background noise tests

  • Perfected hold music transitions 🎵

📈 Tangible Results


Before → After

  • 📞 40% missed calls → 24/7 coverage

  • ⏱️ 15min basic calls → 45sec resolutions

  • 😤 Customer frustration → 4.8/5 satisfaction

  • 📊 No analytics → Full call dashboards


Business Impact:

  • 25% more lead conversions

  • Support team capacity doubled

  • Found 3 workflow gaps via call logs