Description
Price: EUR12.73 - EUR4.38
(as of Jun 28, 2026 20:05:24 UTC – Details)
A process can look broken for the wrong reason. A dashboard can look convincing while hiding the real constraint. An AI summary can sound polished before anyone has observed the work.
Continuous Improvement Manager and Artificial Intelligence is a professional self-learning textbook for operations leaders, process improvement managers, Lean Six Sigma practitioners, quality managers, supervisors, analysts, and consultants who want to use AI responsibly inside real improvement work.
This is not a book about replacing judgment with prompts. It teaches the work behind continuous improvement: defining the problem, observing the process, mapping the current state, measuring the baseline, finding root causes, testing changes, building control plans, and sustaining better performance. AI appears throughout the book as a useful assistant for organizing notes, comparing options, drafting questions, reviewing risks, summarizing evidence, and improving handoffs—but the human professional remains responsible for the decision.
Inside, readers learn how to connect AI-assisted workflows to the practical discipline of operational excellence, Lean thinking, Six Sigma logic, DMAIC, kaizen, value stream mapping, standard work, quality control, and change leadership. The book shows how polished AI output can mislead a team when the data is weak, the process has not been observed, the customer problem is unclear, or the improvement is not controlled after launch.
The learning path is built for professional use. Each chapter develops a specific capability: seeing waste without blaming people, writing a stronger problem statement, building a process map, using AI to pressure-test root-cause thinking, protecting data quality, designing small experiments, communicating change, and creating evidence that a solution actually worked. Practice tasks, Mistake Radar moments, and portfolio moves help the reader turn concepts into usable workplace artifacts.
Readers will practice the kinds of work continuous improvement managers are expected to do: separate symptoms from causes, ask better questions before collecting data, translate frontline observations into useful evidence, compare improvement options, revise weak AI output, and explain why a proposed change deserves trust. The goal is not to memorize improvement vocabulary. The goal is to build the judgment to guide improvement work when time is short, stakeholders disagree, and technology makes unfinished thinking look complete.
By the end, the reader builds an AI-Assisted Continuous Improvement Project Portfolio: a practical collection of improvement evidence that can support internal projects, promotion conversations, consulting work, interviews, or professional development. The portfolio may include a problem brief, process map, root-cause notes, baseline measures, improvement experiment, control plan, AI-use notes, and a final improvement story.
This book is especially useful for readers who work in operations, manufacturing, logistics, healthcare administration, service operations, business process improvement, project management, quality management, or consulting. It is also useful for professionals preparing to lead improvement projects in organizations that are adding AI tools before their teams have built strong improvement discipline.
It is not a certification shortcut, a generic AI manual, or a collection of prompts. It is a practical training book for professionals who want better thinking, better evidence, and better improvement conversations.
If you want a human-centered way to use AI in continuous improvement work, this book gives you the structure. It helps you move faster without skipping the work that makes improvement trustworthy.
ASIN : B0H2SLDYZ8
Publisher : Evervian Publishing
Accessibility : Learn more
Publication date : May 24, 2026
Edition : 1st
Language : English
File size : 922 KB
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Enabled
Print length : 94 pages
Page Flip : Enabled
Part of series : Job Skills and Artificial Intelligent Series
Best Sellers Rank: #501,237 in Kindle Store (See Top 100 in Kindle Store) #25 in Total Quality Management (Kindle Store) #29 in Business Quality Control #57 in Six Sigma Quality Management
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