AI deployment

Corporate adoption of AI mirrors historical technology shifts, where the "AI-enabled company" narrative often obscures the complex, slow-moving reality of enterprise integration. Rather than simple, bottom-up software deployment, meaningful transformation requires addressing deep-seated operational, budgetary, and management challenges within legacy systems like SAP or Workday. While tools like Copilot offer incremental productivity, true industry disruption depends on re-engineering end-to-end processes, a task that necessitates strategic guidance from consultants rather than just purchasing off-the-shelf software. The current hype cycle ignores that large organizations prioritize risk management and long-term stability over rapid, unproven technological leaps. Ultimately, the bottleneck for AI is not the technology itself, but the organizational capacity to audit, verify, and embed these tools into existing, rigid workflows, proving that the fundamental dynamics of corporate change remain unchanged by new technology.