Leaders from Anthropic, Gamma, and Clay are scheduled to speak at TechCrunch Disrupt 2026 to discuss the realities of enterprise AI adoption. The session, titled "What Anthropic Sees When Enterprises Actually Deploy Claude," aims to bridge the gap between theoretical AI capabilities and practical business implementation.
What Happened
The panel will feature Cat de Jong, Head of Applied AI at Anthropic, who works directly with enterprises integrating Claude into critical workflows. She will be joined by Grant Lee, co-founder and CEO of Gamma, and Kareem Amin, co-founder and CEO of Clay. The discussion is set to take place on the AI Stage at the conference, which runs from October 13-15 at San Francisco’s Moscone West.
De Jong’s contribution focuses on identifying patterns in enterprise deployments, specifically examining why some organizations successfully move from experimentation to production while others remain stuck in pilot phases. This perspective is complemented by Lee and Amin, who will provide firsthand accounts from the founder side of building AI products that users rely on in daily operations.
Why It Matters
The session addresses a critical pain point in the current AI market: the transition from impressive demos to reliable, workflow-integrated tools. Many enterprises struggle to determine if an AI solution solves a significant enough problem to justify permanent adoption, often abandoning experiments that fail to meet reliability expectations in unanticipated use cases.
For developers and business leaders, understanding these dynamics is essential for strategy. Gamma, which reported approaching 100 million users in March as it expanded beyond presentation software, and Clay, which launched as an integrated app in Claude’s workplace tools in January, represent two distinct paths to scaling AI utility. Their experiences offer insights into how to make AI products indispensable rather than just novel.
The Bottom Line
The panel at TechCrunch Disrupt 2026 will provide a rare opportunity to hear directly from an AI provider and two product leaders about the specific challenges of scaling enterprise AI. It underscores the industry's shift from evaluating raw model capabilities to assessing workflow integration and long-term user retention.