Nandita
Giri
Senior Software Engineer
"When AI Stops Asking and Starts Acting"
"When AI Stops Asking and Starts Acting"
Wed May 13 - 5:10 PM EDT/New York (See in local time)
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05/13/2026 5:10 PM
05/13/2026 05:30 PM
America/New_York
#WTGC2026
"When AI Stops Asking and Starts Acting"
#WTGC2026
"When AI Stops Asking and Starts Acting"
https://www.womentech.net/ringcentral
https://www.womentech.net/ringcentral
"When AI Stops Asking and Starts Acting"
"When AI Stops Asking and Starts Acting"
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Session: When AI Stops Asking and Starts Acting
AI has evolved rapidly from rule-based automation to conversational assistants but a new shift is quietly redefining software engineering: AI systems that act autonomously.In this talk, we explore the transition from prompt-driven AI to agentic AI systems—systems that can plan, reason, execute actions, recover from failures, and collaborate with other agents without constant human intervention. Drawing from real-world enterprise use cases, this session breaks down what actually changes when AI stops “asking” and starts “acting.”
We will cover how autonomous agents are designed, how they coordinate decisions, where they fail in production, and what guardrails are essential to keep them safe, reliable, and cost-effective. Attendees will gain a clear mental model for agentic architectures, orchestration patterns, human-in-the-loop strategies, and evaluation techniques that work beyond demos.
This session is designed for engineers and technical leaders who want to build AI systems that move beyond chat interfaces and become trusted digital workers in real production environments.
Key Takeaways
- Understand the fundamental shift from prompt-driven AI to autonomous, agent-based systems and what it means for modern software engineering.
- Learn practical architecture patterns for building AI agents that can plan, act, recover from failures, and collaborate in production environments.
- Identify the real-world challenges of agentic AI hallucinations, cost control, reliability, and safety and how to design effective guardrails.
- Gain clarity on when human-in-the-loop is essential and how to balance autonomy with oversight in enterprise systems.
- Walk away with a clear mental model for evaluating, deploying, and scaling AI agents beyond demos and chat interfaces.
Bio
Nandita Giri is a Senior Software Engineer working on large-scale AI systems and enterprise automation. She has led and contributed to AI-driven platforms across global tech organizations, focusing on agent-based architectures, data systems, and production reliability. Her work bridges deep engineering with real-world AI deployment, and she actively mentors engineers on building scalable, trustworthy AI systems.