AI Demands Enterprise Overhaul: Beyond Tech to Process

Robert Kramer argues that businesses must redesign how they operate to realize the benefits of artificial intelligence, moving beyond simply implementing new technologies. For years, enterprise transformation has focused on technical milestones like ERP implementation.

However, these efforts often fall short because they don’t address underlying operational models. Now, as AI moves from analysis to action, flagging exceptions, recommending steps, and executing tasks, a unified operating model is critical.

McKinsey’s 2025 State of AI report revealed that nearly 90% of organizations use AI in at least one function, but most see no significant impact on profits. Top performers, however, redesign workflows and assign AI governance to senior leaders.

Gartner predicts that through 2026, 60% of AI projects will be abandoned due to lack of AI-ready data, and S&P Global Market Intelligence found that 42% of companies are abandoning most of their AI initiatives before production. Kramer stresses that the focus should be on designing around decisions, mapping data, approvals, and exception paths, rather than simply deploying more AI agents. The ultimate goal is to create a system where technology and people collaborate to turn trusted context into controlled action.