The AI-First Enterprise: What Frontier Organizations Do Differently

• Rethink economic, operating and control models to turn AI capabilities into sustainable enterprise advantage

• Apply lessons from frontier organizations to balance innovation, agent autonomy and risk

• Identify the operating practices and failure patterns that determine whether AI scales successfully

• Build the trusted data, business context and adaptive architecture agents need to operate reliably at scale

Most enterprises have access to the same foundation models, AI platforms and rapidly evolving agentic capabilities. Yet while some organizations are moving AI from experimentation to production and enterprise scale, many remain stuck in pilot mode. The difference is not the model itself. It’s how the enterprise is engineered around AI.

Drawing on Gartner's AI engineering discovery project and conversations with leaders at frontier enterprises,this webinar examines the decisions, operating practices and architectural choices that distinguish AI-first enterprises from their peers. Explore how leading organizations are rethinking the economics of work, evolving operating models for experimentation and production, and establishing the controls needed to govern increasing levels of machine autonomy. Gain practical guidance for building the trusted data, business context and adaptable architecture required to scale AI while avoiding the operational and technical debt challenges that often undermine long-term success.

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