The Reinvented Enterprise is a practical framework for how organizations must evolve as AI agents move from tools to active participants in work. The book explores how enterprises can redesign operating models, workflows, decision rights, governance, data readiness, and managed services around intelligent systems.

Rather than treating AI as another software implementation, The Reinvented Enterprise argues that companies must rethink how work itself is structured. The future enterprise will not simply be digitized; it will be agentasized — rebuilt around human judgment, machine execution, trusted data, and adaptive operating models.

The Constraint Capital Model is a framework for understanding where value, risk, and opportunity migrate as artificial intelligence scales. Rather than focusing only on applications or individual technology winners, the model studies the physical and economic bottlenecks that determine whether AI can continue to grow: compute, memory, power, cooling, interconnect, fabrication, packaging, materials, and infrastructure.

The book argues that the next era of capital allocation will be shaped by constraints. As AI demand expands across cloud, enterprise software, robotics, autonomous systems, and national security, the companies that own, solve, or relieve the critical bottlenecks may become some of the most important businesses in the world.