AI Business Production System Design Standard Version 1.0 (Draft Proposal): A Standard Proposal for Japanese Companies Integrating FDE Competencies and Internal Architect Functions
＜My goodness, what a grand ambition. AI for AI, is it?＞
This document is a draft proposal for the design, operation, and governance of AI business production systems in Japanese companies. It is not a finalized standard, but is positioned as a living standard (public draft) to be improved through verification, operation, and public peer review. Rather than recommending specific products or AI technologies, it presents design principles for business production systems that integrate operations, data, AI, humans, and governance.
Table of Contents
Foreword: Why Integrate These Two Documents?.............................................. 3
Key Points of This Document........................................................................................... 3
Part I: Where Has the Competitive Arena Shifted?...................................................... 4
Chapter 1: 'Building Agents' Is Not Enough................................ 4
Chapter 2: Business Processing Methods and Business Production Systems............................................ 4
Part II: Redefining the FDE Competency.................................................................... 5
Chapter 3: What Is the FDE Competency?............................................................ 5
Chapter 4: Limitations of FDE and Institutionalization in Japanese Companies............................................ 6
Part III: The Organizational Capability of Internal Architect Functions................................................. 6
Chapter 5: Definition and Talent Structure of Internal Architect Functions................................................ 6
Chapter 6: Business Design Education, Not Technical Education................................................. 7
Part IV: Development and Implementation Program............................................................ 7
Chapter 7: 5-Stage + 1 Means Selection Gate........................................................... 7
Chapter 8: Six Ledgers + Three Standard Deliverables........................................................... 8
Chapter 9: Promotion Structure, Role Correspondence, and Responsibility/Authority.......................................... 8
Chapter 10: Implementation Roadmap, Input Volume, KPIs, and ROI.................................. 9
Part V: Operation, Governance, Legal Systems, and Withdrawal...................................................... 10
Chapter 11: 8 Governance Domains and Legal System Connection......................................................... 10
Chapter 12: Anti-patterns, Exit Criteria, and Future Vision...................................... 11
Appendix A: Case Study: From Order Receipt to Billing........................................ 12
Appendix B: Organizational Asset Reconfiguration Simulation.......................................... 12
Appendix C: Glossary................................................................................... 13
References and Reference Materials.......................................................................... 13
Conclusion................................................................................................. 13
Preface: Why Integrate These Two Documents?
This book integrates the theoretical and implementation document discussing Forward Deployed Engineers (FDE) with the institutional proposal for internal AI reskilling into a single logic. The former defined the professional capability responsible for translating the chaos of the field into a structure that AI and software can follow. The latter presented a mechanism for cultivating internal architect functions capable of taking inventory of, selecting, and re-editing a company's business assets into a governed business production system. The former outlines the contours of a rare professional capability, while the latter shows how to convert that capability into organizational capacity.
The central proposition after integration is clear. What will determine future corporate competitiveness is not whether one can build a single AI agent. It is whether one can design the meaning of work, master copies, authority, exceptions, audit trails, suspension/recovery, and the cycle of improvement as a production system capable of continuous operation. The purpose of this book is to establish that design not by relying on a single hero, but by embedding it as professional capabilities, teams, six ledgers, three standard deliverables, approval systems, and development systems.
From a competition of machine tool performance to a competition of production methods. AI models and agents are important components. However, what companies must build is a 'business factory' that includes quality assurance, process management, authority management, shipping judgment, and suspension/recovery.