Observing the Agentic AI Ecosystem: QApilot at the Nasscom and Google Agentic AI Roadshow

I attended the Agentic AI Roadshow at T Hub to observe emerging agentic AI trends, startup innovation, and the evolving AI ecosystem.

The Agentic AI Roadshow hosted by Nasscom and Google at T Hub offered a valuable window into how the agentic AI ecosystem is taking shape across startups, platforms, and enterprise use cases. Attended as an invite only event, the roadshow brought together early stage AI companies, builders, and ecosystem leaders exploring how autonomous and semi autonomous systems are being designed and deployed in practice.

The intent behind attending this event to step back and observe how agentic AI is being interpreted across industries. Many of the showcased startups were experimenting with agents that go beyond single task automation, focusing instead on systems that can reason, coordinate, and act across workflows. This reflects a broader industry shift from prompt driven interactions to goal driven systems.

One of the key observations from the event was the diversity in how teams are approaching agentic AI. Some startups are building horizontal agent platforms, while others are deeply vertical, embedding agents into specific domains like operations, customer support, analytics, or developer tooling. Across these approaches, common challenges surfaced around reliability, context management, and safe autonomy, reinforcing that agentic AI is still in an active phase of exploration and learning.

Networking was another important aspect of the roadshow. Conversations with founders and builders highlighted a shared focus on moving from demos to dependable systems that can operate in real world environments. There was a clear recognition that agentic AI is not just about intelligence, but about designing systems that users can trust over time.

Attending the roadshow helped sharpen our understanding of where the agentic AI space is headed and how quickly it is evolving. Events like these play an important role in shaping perspective, especially as agent based systems begin to move from experimental ideas into production grade platforms.

For QApilot, engaging with the broader agentic AI ecosystem through observation and dialogue is an important part of staying grounded in industry reality. The insights from this event will continue to inform how we think about autonomy, context, and trust as the AI landscape matures.