Choosing Wisely: When AI Agents Make Sense

Agentic AI is one of today’s fastest-growing trends—and also one of the most misunderstood.
How can we separate real opportunities for agents from the hype?
How do we decide when an AI agent adds value versus when a simple rule-based or traditional ML system is enough?

Join this Birds-of-a-Feather session to find out!

Potential Topics

• What defines an AI agent
  Interpreting context, reasoning, planning, taking actions, making decisions, and adapting to change.

• Evaluating the need for agentic capabilities
  How to determine if these capabilities are truly required for a problem.

• Signals for simpler solutions
  Indicators that a task is better served by traditional programming or ML.

• Pitfalls of “force-fitting” agents
  Risks of inserting agents into deterministic workflows where they add little value.

• Real-world examples
  Cases of both successful and unnecessary uses of AI agents.

Key Takeaways

• A practical framework to decide when an AI agent is the right solution.
• Strategies to balance innovation with reliability when integrating agents.
• Lessons learned from real-world cases where agents excel—or fail.

Who Should Attend

• Engineers, product managers, architects, and decision-makers evaluating AI adoption.
• Technical leaders looking to distinguish genuine agentic value from hype.
• Practitioners eager to share or learn best practices for deploying agents responsibly.

About Me

About Me:

I work as a Solution Consultant at Sahaj.ai.

At Sahaj, I am learning to build technology platforms with extreme programming practice and work in high-trust and accountability technology teams.

I am also working as Office Lead for Sahaj Hyderabad Office with purpose to build community of Sahajeevis in Hyderabad with Strong tech and consulting culture the Sahaj way

I have 16 years of Software Engineering experience focussed on Tech Consulting and implementation and building strong technology teams. I have worked on Distributed systems, and traditional monolith platforms and built products on top of Eclipse Platform. I have diverse experience in Software Engineering - building tech platforms dealing with PII Data and requiring regulatory compliance, delivery management, customer relationship management, and presales.

LinkedIn Profile:
https://www.linkedin.com/in/priyadarshanpatil/