Intelligent Process Transformation (IPT) is a groundbreaking guide for executives, business leaders, and change agents who recognize that traditional process improvement alone can no longer keep pace with today's AI-driven business landscape. Written by David DuVall, this book bridges the gap between proven frameworks like EOS(R), Scaling Up(R), and Lean Six Sigma(R), and the exponential possibilities unlocked by artificial intelligence.For decades, organizations have relied on incremental improvement strategies-cutting waste, tightening accountability, and optimizing workflows. While effective in their time, these methods are being eclipsed by competitors who harness AI to achieve leaps in efficiency, quality, and customer experience that were previously unattainable. Companies that stick to linear gains risk falling behind, while those that adopt intelligent transformation can seize market-defining advantages.Through vivid case studies-from manufacturing firms using digital twins to slash defects, to healthcare systems reducing ER wait times with predictive analytics-the book illustrates how AI delivers 8-12x better returns than traditional methods, often in less time and with only modestly higher investment. It explains why organizations that embrace an AI-first mindset-treating intelligent systems not as optional tools but as foundational capabilities-are achieving compounding advantages that laggards cannot easily replicate.DuVall introduces the Intelligent Process Transformation (IPT) framework, a five-pillar methodology that enables leaders to: Align AI with strategy and purpose (Visionary Strategy)Empower people to collaborate with intelligent systems (Empowered People)Design adaptive, self-optimizing workflows (Intelligent Processes)Build technology platforms that orchestrate intelligence (Adaptive Technology)Measure impact through both financial ROI and trending performance metrics (Measurable Impact)Unlike conventional improvement systems that control processes to maintain stability, IPT emphasizes orchestration-governing AI systems that continuously learn, adapt, and evolve. The framework provides leaders with practical tools for implementation, including a four-phase rollout model that uses digital twin simulations to de-risk adoption and accelerate learning.The book also equips executives with financial justification models, highlighting both the dual ROI framework (tracking early indicators and realized returns) and the cost of inaction (market share erosion, talent flight, and innovation stagnation). By quantifying the business case for intelligent transformation, DuVall shows why adopting IPT isn't just an opportunity-it's a competitive necessity.Ultimately, Intelligent Process Transformation challenges leaders to reimagine operational excellence for the AI era. It calls on organizations to move beyond adding AI as an enhancement, and instead design entirely new processes and strategies where human ingenuity and machine intelligence work in concert.For leaders ready to future-proof their organizations, this book provides not only a vision of what's possible but also a practical roadmap for achieving it.