From Demos to Deployment: Leading with Agentic AI

July 2, 2026 - MIT Sloan Executive Education

The big shift with agentic AI is that we’re moving beyond asking “What can AI do?” to asking “How should our organization work differently because AI can do it?” The article argues that impressive demos and pilots are no longer enough. As AI systems begin to pursue goals, make decisions and act on an organization’s behalf, leaders need to think about the broader design of the enterprise—not just which tools to deploy.

That means rethinking how work gets done. Rather than simply dropping AI agents into existing processes, leaders should consider which tasks and decisions should stay with people, which can be supported by AI, and where greater autonomy makes sense. The goal isn't to automate the old way of working; it’s to redesign work around what humans and AI can each do best.

And getting there requires more than technology. Organizations need AI literacy across the workforce, along with governance that creates confidence rather than simply putting the brakes on experimentation. The real challenge in moving from demos to deployment is therefore a leadership one: creating the clarity, skills and organizational conditions to put AI to work responsibly—and at scale.

Read the full article here.