India's enterprise landscape is evolving fast, and its digital economy is scaling to match. AI tools are being layered across sales, marketing, and service teams. But in most organisations, these experiments sit on top of disconnected systems with fragmented data. The result: Plenty of AI activity, very little measurable business impact.

The leaders pulling ahead aren't the ones with the most tools. They're the ones who've worked out the foundation for AI to actually work: consolidating platforms, connecting customer context across teams, and tying every use case back to a business outcome: pipeline generated, conversion rates improved, productivity gained, costs reduced.

This roundtable brings together 20 senior leaders, including HubSpot customers who have or are in the process of making this shift, for a facilitated discussion on the specific decisions, data foundations, and operating models that turn AI experiments into measurable results.

You'll leave with a clearer view of what's working for businesses at your stage, the common mistakes that keep teams stuck in experimentation mode, and a practical framework for connecting AI use cases to the outcomes your board actually cares about.