Built for Reality: What It Takes to Make Enterprise AI Work

Moving AI from experimentation into day-to-day operations requires more than a successful use case. In this episode, CHIME President and CEO Russ Branzell speaks with Jiby Varghese, Senior Vice President of Data and AI at Rackspace Technology, about what healthcare organizations need to put enterprise AI to work across complex, highly regulated environments.

Drawing on his experience leading data and AI inside a health system, Jiby examines the foundations that become critical as AI moves into production, from data readiness and architecture to governance and organizational ownership. The conversation also explores how leaders can preserve choice and control as their AI environments evolve, establish clearer accountability across technology and operational teams, and think more broadly about the value AI can return to the organization.

Key Takeaways:

• What changes when healthcare AI moves from experimentation into enterprise-scale operations.

• How data readiness, ownership, and operating models can shape what organizations are realistically able to achieve with AI.

• Which architectural and governance decisions can give healthcare organizations the flexibility and control to advance enterprise AI responsibly.

• How leaders can establish ownership and accountability when AI becomes part of everyday clinical and operational workflows.

• Why the value of AI should account for not only productivity, efficiency, and financial return, but what becomes possible when people have meaningful time returned to their work.