Overview
JF Solutions Inc. (Location: Kita-ku, Osaka, Representative Director: Hitoshi Furoi) has launched "The Core of AI: Automation Technology and AI Agents in the AI Era - Theory Edition" (Author: Hitoshi Furoi, Publisher: JF Press) on Kindle (e-book and paperback), Google Play Books, Rakuten Kobo, and Apple Books.
Additionally, an RFP template for RAG system procurement (paid), implementing the design philosophy of this book, will be available on the official website.
Bibliographic Information
Item
Details
Book Title
'The Core of AI: Automation Technology and AI Agents in the AI Era - Theory Edition'
Next-Generation Organizations Realized with AI Agents
– Starting with the Separation of Control and Improvement, Field-Led Automation Design –
Author
Hitoshi Furoi
Publisher
JF Press (JF Solutions Inc.)
Release Date
July 1, 2026
Price
E-book: ¥4,500~ / Paperback (Print-on-Demand): ¥4,950
Purchase Channels (E-book)
Amazon Kindle, Google Books, Rakuten Kobo, Apple Books
Purchase Channels (Paperback)
Amazon (Print-on-Demand)
Book Page
https://jf-sol.com/aiagent_theory/
Series
'The Core of AI'
Background and Objectives
As the urgent need to utilize generative AI becomes apparent, the number of companies attempting to introduce AI agents is rapidly increasing. However, predictable failures are being repeated, such as PoCs succeeding but failing to take root in production, the field starting to use AI without permission leading to unmanageable systems, and vendor-delivered systems lacking control.
According to a McKinsey survey, only 6% of companies are contributing to company-wide profits through AI utilization. A PwC Japan survey also revealed an increase in companies responding "less than expected" regarding AI adoption in Japanese companies, indicating a growing polarization.
The fundamental cause is not a technical issue. It is an organizational design problem where "parts to be controlled" and "parts that can be left to the field" are not separated.
Features of This Book
This book re-examines AI agents not as tools, but as "organizational automation architecture," and is a theoretical work that systematizes the following design philosophies:
[Control Gates]
Defines irreversible confirmation points and indicates the axis of control that the organization must uphold.
[Two-Layer Separation of Control and Improvement]
Separates the parts that must be controlled from the parts that can be freely improved outside the gate.
[Templates and Disposable Agents]
Separates the basic form (template) of agents that should be shared by the organization from disposable agents created and discarded by the field, structurally preventing rogue AI agents.
[Governance, RFP Design, and Maturity Model]
Systematically explains everything from Shadow AI, three-line defense, auditing, RFP formulation, to diagnosing the maturity of one's own organization across 14 chapters. It organizes universal design principles independent of specific tools and products, providing a decision-making framework that will remain valid for 5-10 years, even as products from Microsoft, Google, OpenAI, etc., change.
Book Structure (14 Chapters + Appendices A-H)
Part 1: Building the Foundation – Learning from History and Understanding Immutable Structures
Chapter 1: Why Do We Need to Look at AI Agents "Calmly" Now?
Chapter 2: The Immutable Structure of Information Systems Chapter 3: Why Do Process Improvements Fail?
Chapter 4: Separation of Control and Improvement – Designing Around Gates
Part 2: Technology and Design – Technologies and Design Principles for Correctly Using AI Agents
Chapter 5: Technologies Supporting AI Agents
Chapter 6: Prompt Design – Drawing the Boundary Between Humans and AI with Words
Chapter 7: The True Nature of AI Agents – Redefined as "Easier-to-Use Macros"
Chapter 8: "Templates" and "Disposable Agents" – The Central Proposition of This Book
Part 3: Organization and Operation – Activating People, Organizations, and Knowledge for Continuous Improvement
Chapter 9: As Resource Load Decreases, Processes Become Visible
Chapter 10: A Supplement on Organizational Theory
Chapter 11: Why Can't Organizational Knowledge and Field Improvement Be Separated?
Chapter 12: AI Agent Governance
Part 4: Introduction and Practice – Establishing Roots in the Organization and Enhancing Maturity
Chapter 13: RFP Design for AI Agent Projects
Chapter 14: AI Agent Maturity Model – Diagnosing Your Organization's Current Position
Appendices A-H:
Control Gate Decision Checklist
Bottleneck Resource Discovery Sheet
Request Log
Organizational Knowledge Map
Technology Inventory Sheet
Work Function Analysis Sheet
Criteria for Judging Templates
Risk Level-Based Control Matrix
Glossary Correspondence Table (Excel Version)
Distributed free of charge from the special page.
Target Audience
IT personnel and DX promotion offices considering or promoting the introduction of AI agents.
PMs, PMOs, and information systems departments evaluating vendor proposals.
System auditors and information processing security specialists auditing and evaluating AI systems.
Consultants handling AI agent projects and business managers.
Related Products
[RFP/Vendor Selection Template (Paid)]
A complete template for enterprise RFP creation and vendor selection, translating the book's theory into practical application. Price: ¥55,000 (tax included)
Special Page: https://jf-sol.com/aiagent-downloads/
*Now on sale at Gumroad*
[Appendix Excel Version Template Collection (Free)]
Bulk download of Excel versions of Appendices A-H available.
Special Page: https://jf-sol.com/aiagent-downloads/
*Downloadable from Gumroad*
Author Profile
Hitoshi Furoi (ふろい じん)
Representative Director, JF Solutions Inc.
Master of Engineering (Industrial Engineering)
Holds numerous qualifications including IT Strategist, System Auditor, Project Manager, Information Processing Security Specialist, and E-qualification (JDLA).
A business architect who has provided end-to-end support for over 20 years, from system implementation to IT architecture design and DX strategy planning. Author of the "The Core of AI" series, which systematizes AI agents, RAG, and deep learning.
Books
The Core of AI: Organizational Knowledge and Retrieval-Augmented Generation - Theory Edition (Published)
The Core of AI: Understanding the Principles and Essence of Deep Learning from Theory to Practice, Volumes 1-4 (Published)
AI Career JDLA E-qualification Preparation, Volumes Upper and Lower (Published)
Company Overview
Item
Details
Company Name
JF Solutions Inc.
Address
2-8-5 Sonezaki, Kita-ku, Osaka 530-0057, Japan, Ohatsutenjin EAST BLDG 3F
Representative
Hitoshi Furoi
Business Activities
DX Strategy Formulation Support, IT Consulting, Publishing Business (JF Press)
URL
https://jf-sol.com/
Publication LP
https://jf-sol.com/aiagent_theory/
Inquiries Regarding This Release
JF Solutions Inc. Public Relations Department
✆ 050-8893-2778
Company names and service names mentioned in this press release are trademarks or registered trademarks of their respective companies.
FACT BOX
- Source: PR TIMES
- Category: 書籍発売
- Organizations: McKinsey / PwC Japan / Microsoft