Agentic AI Workflows for Your Business

Agentic AI Workflows for Your Business

14 Apr 202513:04pm - 14 Apr 202514:04pm

Agentic AI Workflows for Your Business

About the Event

AI agents are everywhere, but many are over-engineered, clunky, and trying too hard to be sci-fi heroes. In reality, effective AI agents don’t need to do everything—they just need to get the job done. This webinar explores the shift from rigid automation to adaptive, tool-using AI that knows when to act, ask, or seek help. Learn what works, what fails, and key business takeaways for AI-driven impact. Whether you're a CXO, industry leader, or developer, this session will help you harness Agentic AI for real-world success.


Key Takeaways:

  • The Industry Shift – Transitioning from rigid automation to adaptive, tool-using AI agents that truly get work done.
  • What Works? – Building modular, goal-driven AI agents that know when to act, ask, and seek help.
  • What Fails? – Avoiding the pitfall of over-engineered AI agents trying to do everything (e.g., coffee-making, note-taking, WiFi-fixing).
  • Business Takeaways – How to leverage Agentic AI to drive impact in your specific use case.
  1. Best articles get published on Analytics Vidhya’s Blog Space
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  3. Best articles get published on Analytics Vidhya’s Blog Space
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Who is this DataHour for?

  1. Best articles get published on Analytics Vidhya’s Blog Space
  2. Best articles get published on Analytics Vidhya’s Blog Space
  3. Best articles get published on Analytics Vidhya’s Blog Space

About the Speaker

Bhawna Rupani

Bhawna Rupani

Senior Gen AI Engineer at Cygeniq

Bhawna Rupani is currently working as a Senior Gen AI Engineer at a US-based cybersecurity & AI based start-up, Cygeniq, where she is building Agentic AI frameworks. Previously worked with leading European travel tech and top Ed-techs of India. She is also associated with the government of India's PMO initiatives for helping transition college students into the AI/ML industry. You can reach her on LinkedIn.

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Registration Details

09 :10 :18 :23

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