Building AI Voice Agents in Africa (Call Center Automation)

In this conversation, I sit down with the founder of TeleAgents to break down what it takes to build AI voice agents that can make and receive phone calls.

We explore how modern voice agents are built using:
- Speech-to-Text (STT)
- Large Language Models (LLMs)
- Text-to-Speech (TTS)
- Telephony integration for real phone calls

We also go deeper into:
- AI call center automation
- Building production-ready AI workflows
- Challenges of deploying AI in Africa (language, infrastructure, cost)

Manasseh socials :
LinkedIn: @devmanasseh
TikTok: @manasseh.dev
X: @manassehdev
Instagram:@manasseh.dev

Timestamps

00:00 Introduction
01:00 Meet the founder (background + idea origin)
03:00 What is an AI voice agent? (STT, LLM, TTS explained)
06:00 Telephony layer (how calls actually work)
08:00 TeleAgents platform overview
09:00 Workflow system (node-based AI logic)
12:00 Campaigns and outbound calling
14:00 Call history and monitoring system
16:00 Security and enterprise considerations
18:00 Cost model (pricing per minute)
20:00 Scaling AI vs human call centers
21:30 Server requirements and infrastructure
22:00 Local language support (Shona, Ndebele, etc.)
27:00 Funding and building an AI startup in Africa
30:00 Real-world use cases (insurance, reminders, automation)
33:00 Technical challenges (VAD, interruption handling)
35:00 AI in software development + future of work

Видео Building AI Voice Agents in Africa (Call Center Automation) канала Tino Muchenje | AI in Practice