Anthropic, Gamma, and Clay share what happens when enterprises actually deploy AI at TechCrunch Disrupt 2026

AI products that go beyond impressive demos are now a necessity for enterprise adoption.

Leaders from AI companies Anthropic, Gamma, and Clay are set to discuss enterprise AI deployment challenges and successes at TechCrunch Disrupt 2026. The panel will focus on the realities of AI integration beyond initial demos, exploring what happens when AI tools are adopted into critical business workflows. Anthropic's Head of Applied AI, Cat de Jong, will share insights into enterprise adoption patterns, identifying factors that lead to successful, long-term integration versus stalled pilots. Gamma's Co-Founder and CEO, Grant Lee, will offer the perspective of a product builder, detailing how to create AI tools that users consistently adopt and integrate into their work. Clay's Co-Founder and CEO, Kareem Amin, will discuss how AI is being embedded into customer outreach and workflow infrastructure, particularly in light of Clay's integration with Anthropic's Claude. The discussion aims to bridge the gap between AI capabilities and practical, widespread enterprise use.

The session highlights a critical shift in the enterprise AI market: the focus is moving from the potential of AI to its practical, reliable integration into existing business processes. Companies are realizing that a compelling demonstration is insufficient; AI tools must solve significant problems and prove their value through consistent, dependable use within established workflows. This signals a maturing market where user adoption and real-world problem-solving are the primary metrics for success, separating fleeting experiments from foundational operational tools.

For AI developers and enterprises, this means the pressure is on to build not just powerful AI, but user-friendly, robust solutions that seamlessly fit into how work is done. The insights from Anthropic, Gamma, and Clay will be crucial for understanding the patterns of successful deployment, the challenges of user adoption, and the strategic considerations for turning AI capabilities into indispensable business assets. This collective experience offers a roadmap for navigating the complexities of enterprise AI, moving beyond hype to deliver tangible, sustained value.