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Artificial Intelligence

Episode: How Agentic AI Differs from Chatbots and Automation

25 Minutes on Making Sense of Chatbots, Automation, and Agentic AI

In this episode of GydeBites, Prasanna Vaidya speaks with Ashmeet Singh about agentic AI and why it is often confused with chatbots and automation. While many organisations already use chatbots and automation, work still breaks down when situations become complex, and ownership is unclear. This conversation focuses on understanding where each approach fits in work scenarios.

Using simple, everyday examples like order issues, internet problems, and employee onboarding, Ashmeet explains how chatbots answer questions, automation handles defined actions, and agents step in when planning, decisions, and follow-through are needed. The idea is clear and practical, not theoretical.

The episode also explores how human roles are shifting. People move from doing repetitive tasks to supervising, reviewing, and guiding outcomes. If you want clarity on when to use what and why, this episode is worth your time.

Questions covered in this episode:

Where do chatbots and automation fall short, and when does agentic AI become necessary?

How does agentic AI differ in how it plans, decides, and acts compared to chatbots?

What changes when AI owns an outcome instead of just responding to a prompt?

How does agentic AI change the role of humans compared to chatbot-led or automated systems?

How should enterprises choose between chatbots, automation, and agentic AI?

Meet the Speaker

Ashmeet Singh

Head of AI Engineering, TCS

Ashmeet brings over 16+ years of experience across project management, business analysis, and solution architecture, giving him a strong perspective on how technology is delivered at scale. He leads large-scale AI, Generative AI, and Agentic AI initiatives, with a clear focus on understanding where chatbots work well, where automation is sufficient, and where agentic AI delivers the most impact.

Ashmeet Singh

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