The Complete AI Leadership Playbook: How Non-Technical Leaders Can Confidently Lead AI Initiatives From Idea to Production Without Being Dependent on Technical Experts

Product Description

The AI problem is no longer awareness. It is execution.Leaders are not short of AI ambition. They are short of AI outcomes.Gartner predicted that at least 30% of GenAI projects may be abandoned after proof of concept because of poor data quality, weak risk controls, rising costs, or unclear business value.IBM’s 2025 CEO study found that only 25% of AI initiatives had delivered expected ROI, and only 16% had scaled enterprise-wide.MIT NANDA’s 2025 research found GenAI investments fail mainly due to brittle workflows, poor contextual learning, and weak fit with day-to-day operations.RAND’s research points to the same pattern: misunderstood business problems, insufficient data, technology-first thinking, weak deployment infrastructure, and use cases AI was never suited to solve.These are not model problems alone.They are leadership problems. Governance problems. Delivery problems. Data problems. Operating model problems.That is why The Complete AI Leadership Playbook exists.This book is written for leaders who are accountable for AI outcomes but do not want to become dependent on technical experts or vendors for every decision.It is not a coding book. It is not another book explaining why AI matters. It is not a collection of decorative frameworks.It is a practical guide for taking AI initiatives from idea to production with clarity, discipline, and control.INSIDE THIS BOOK, YOU WILL LEARN HOW TO:Choose AI use cases that deserve investmentDefine the business problem before selecting the technologyBuild a credible AI business case and success metricsWrite stronger requirements for AI-enabled solutionsControl scope, MVP boundaries, and user journeysDecide when to build, buy, or partnerEvaluate AI vendors beyond polished demonstrationsAssess data readiness, architecture, hosting, and integrationsAddress privacy, security, compliance, and responsible AIManage delivery teams, vendors, risks, and escalationsMove from proof of concept to production without false confidenceDefine UAT, testing, go-live criteria, and readiness checksDrive adoption, training, trust, and change managementMonitor value, cost, quality, risk, and performance after launchThe book follows the full AI solution lifecycle. It uses familiar enterprise delivery stages, but adds the leadership checks AI now requires: use-case discipline, data readiness, model quality, hallucination risk, human oversight, vendor evidence, governance, adoption, monitoring, and accountability.WHO THIS BOOK IS FOR:CXOs, business heads, transformation leaders, product leaders, program leaders, strategy teams, consultants, technology leaders, risk leaders, and public sector executives who need to lead AI with confidence.The appendices make the book immediately usable, with templates for business requirements, opportunity prioritization, business case development, vendor evaluation, risk governance, stage-gate readiness, UAT and go-live acceptance, executive dashboards, and AI terms for leaders.AI does not remove the need for leadership. It exposes where leadership discipline is missing.If you are responsible for approving, funding, governing, delivering, or scaling AI initiatives, this book will help you ask better questions, recognize weak assumptions, challenge unsupported claims, and lead AI work with greater confidence.Click the Buy button to grab your copy! Read more