🌐 About the Session

AI is moving from single assistants to collaborative ecosystems of specialized agents that think, plan, and act together. This next leap — Multi-Agent Collaboration — enables AI systems to solve complex problems through teamwork, communication, and coordination.

In this hands-on session, you’ll see how multiple AI agents with distinct roles collaborate to perform end-to-end tasks — sharing context, reasoning jointly, and improving outcomes continuously.

🧩 What You’ll Learn

🔹 Multi-Agent Fundamentals
How agentic systems differ from single-agent AI — and why they’re the next evolution of intelligence.

🔹 Power of Collaboration
How specialization and coordination make AI more scalable, creative, and reliable.

🔹 Inside the System
How agents communicate, share goals, and orchestrate workflows through coordination layers.

🔹 Build with Free Tools
Experiment with open frameworks like CrewAI, AutoGen, LangGraph, and OpenDevin to create your own multi-agent setups.

🔹 Live Demos
See agent teamwork in action:

• 🧭 AI Career Coach: Agents mapping skills to personalized career paths.

• ✈️ AI Travel Planner: Coordinating bookings and itineraries seamlessly.

• 🧮 Workflow Orchestration: Automating complex, multi-step decisions.

🔹 Future Outlook
How multi-agent systems will power human–AI co-working and self-improving ecosystems.

💬 Why Attend

If you want to understand or build AI teamwork, this session is for you. Learn how agent collaboration is redefining how AI thinks, plans, and delivers — making automation more intelligent, adaptive, and human-like.

👤 About the Speaker

Neha Shaah, Senior Manager at Tata Motors, is leading the company’s GenAI transformation—cutting service turnaround time by 30%, saving ₹45+ Cr annually, and embedding Agentic AI for faster, data-driven decisions. A strong advocate for innovation and talent development, she’s shaping how AI drives real-world efficiency and business growth across the automotive ecosystem.