The most striking thing about companies adopting ChatGPT is not how many of them have it, but how few of them get anything meaningful out of it. The individual workers inside those companies will happily admit to saving hours on email and first drafts. The executives above them will quietly admit that the company as a whole has nothing to show for it. That contradiction, real gains at the individual level and no gains at the company level, is the single most important fact about AI in business.
The companies that fail do so in three consistent ways. The executive who buys seats and hopes, never defining a single job for the tool to do. The book is organized in three parts. The first part builds the foundation with the multiplier model, the readiness audit, and the five stage rollout that turns a company of individual experiments into a company with a shared method. The second part is the departmental playbook, walking through the executive office, marketing, sales, customer support, human resources, finance and accounting, operations, product and research, engineering and IT, legal and compliance, communications and public relations, data and analytics, and training. Each chapter follows the same shape, the three highest value jobs for that department, the workflows and prompts that perform those jobs, the failure modes, and the metric that proves the department is ahead. The third part is the governance layer with the policy, security, measurement, and scaling path.
Inside you'll discover:
. A 5-stage company-wide rollout playbook that drives real adoption
. Department-specific workflows for marketing, sales, support, finance, and HR
. The executive office framework for decision briefs and board narratives
. How to build a brand voice system that keeps every message consistent
. Customer service systems that protect reputation at scale
. A governance policy that protects data and ensures security
. The measurement system that proves AI is delivering real returns
