Scaling AI Calls for a Revamped Operating Model
CIO Dive, Thursday, June 4th, 2026
Organizations must redesign operations and workforce to successfully scale AI beyond pilots into production environments.
Enterprises struggle to move AI initiatives from experimental phases into production systems that deliver measurable returns. According to Jamie Rutledge, president of Kyndryl US, the issue extends beyond technology, as organizations must fundamentally redesign how they operate.
Success requires establishing mission-critical technology foundations including AI-ready infrastructure, governed data, and embedded security integrated within modern platforms. Companies need to operationalize governance through clear approval workflows, role-based access controls, and policy-as-code rather than relying on static documentation.
Critically, only 29% of organizational leaders believe their workforce is adequately prepared for AI adoption, making change management across people, process, and technology simultaneously essential for lasting business impact.