Narayanababu Laveti D V
Narayanababu Laveti D V is a Principal Architect at Exotel with deep experience in building scalable systems that make modern communication possible. He is currently focusing on voice AI technology, working directly with the engineering team to develop AI-powered voice bots. His work centers on the technical side of making these bots smarter and more reliable, ensuring they can handle natural, real-time conversations effectively when users interact with them over a phone call.
His current focus on AI is built on a strong foundation of designing high-scale platforms. As part of the architecture team at Exotel, Narayanababu has contributed to the systems powering the company’s CPaaS and its Enterprise Contact Center (ECC/CCaaS). This background in managing high-traffic, real-time data helps him ensure that voice AI solutions are built to be stable and performant at scale.
Exotel
Principal Architect
Session
AI voicebots are transforming how businesses interact with customers, from 24/7 support agents to intelligent appointment schedulers. With LLMs like ChatGPT, Claude, Gemini, and Mixtra, building conversational AI has never been more accessible. What if your bot could actually answer phone calls? This hands-on workshop takes you from zero to a working AI voicebot in 75 minutes. We'll start by building a conversational agent powered by your choice of LLM (GPT4.1 mini or Gemini 2.5 flash). You'll design conversation flows, handle user intents, and create natural voice responses. Then comes the magic: we'll connect your voicebot to real telephone infrastructure. By the end of the session, you'll be able to call your own bot from your phone, engage in a conversation, and walk away with production-ready code that you can deploy immediately. No prior experience with AI or telephony is required. Just bring your laptop and curiosity.
What Participants Will Build
By the end of this workshop, each participant will have:
1. A conversational AI voicebot powered by LLMs (GPT4.1 mini or Gemini 2.5 flash)
2. Natural voice interaction with speech recognition and text-to-speech synthesis
3. Smart conversation handling with context memory and intent recognition
4. Live phone integration call your bot from any phone and talk to it
5. Deployable codebase ready for production use cases
Detailed Agenda
Part 1: Building Your AI Voicebot (30 minutes)
1. Introduction to conversational AI and voicebot architecture
2. Setting up your LLM backend (GPT4.1 mini or Gemini 2.5 flash)
3. Designing conversation flows and system prompts
4. Adding speech-to-text and text-to-speech for voice interaction
5. Testing your voicebot locally
Part 2: Making It Real Phone Integration (30 minutes)
- How phone calls connect to your code (webhooks & APIs)
- Connecting your voicebot to telephony infrastructure
- Handling inbound calls and real-time voice processing
- Call flow management: greetings, transfers, and fallbacks
- Live demo: Call your voicebot from your phone!
Part 3: Production Tips & Q&A (15 minutes)
- Error handling and graceful degradation
- Scaling your voicebot for real-world traffic
- Use cases: customer support, appointments, notifications
- Open Q&A and next steps
Prerequisites
• Basic Python knowledge (functions, APIs, JSON)
• Laptop with Python 3.12+ installed
• Code editor (VS Code recommended)
• Mobile phone for live testing
• All API keys, phone numbers, and infrastructure are provided; no signups required
Key Takeaways
• A working AI voicebot you can call from your phone
• Hands-on experience with LLM integration for voice applications
• Complete source code ready to customise and deploy
• Understanding of how to connect AI to real phone infrastructure
• Sandbox access for continued experimentation after the workshop
Target Audience: Developers curious about AI voice applications. Whether you're building customer service automation, exploring conversational AI, or just want to create something cool with LLMs, this workshop is for you. We assume basic knowledge of Python but no prior experience with AI or telephony.