The Theory of Autonomous Enterprises: Architecting AI-Driven, Agent-Based Business Systems for Scalable and Self-Operating Organizations

##plugins.pubIds.doi.readerDisplayName## https://doi.org/10.70593/978-93-7185-367-5

Authors

Yogiraj Awati
Independent researcher, Engineer Manager

Keywords:

Autonomous Enterprises, Artificial Intelligence, Business Systems, Self-Operating Organizations, Cognitive architecture, Audit, Operational autonomy

Synopsis

This book was written by a practitioner, for practitioners. The frameworks, architectures, and operational patterns described in these pages are not drawn from academic research or consulting engagements. They are drawn from over a decade of building, shipping, and operating AI systems at enterprise scale systems that today serve tens of millions of users, process millions of transactions weekly, and operate across hundreds of thousands of locations in multiple countries. I cannot name every system or cite every metric. Enterprise employment comes with confidentiality obligations that I respect. What I can tell you is that nothing in this book is theoretical. Every failure mode described is one I have encountered. Every architectural decision recommended is one I have made and validated in production. Every framework offered is one I have applied. The A.I.R. Method Audit, Integrate, Replicate is not a consulting framework invented in a whiteboard session. It is the distilled pattern of what consistently works when AI moves from pilot to production at enterprise scale. If you can describe how your business works, this book will show you how to build an AI system to run it

References

Abdel-Basset, M., Nabeeh, N. A., El-Ghareeb, H. A., & Aboelfetouh, A. (2020). Utilising neutrosophic theory to solve transition difficulties of IoT-based enterprises. Enterprise information systems, 14(9-10), 1304-1324.

Jankensgård, H. (2019). A theory of enterprise risk management. Corporate Governance: The international journal of business in society, 19(3), 565-579.

Parimi, S. K., & Yallavula, R. (2021). Data-Governed Autonomous Decisioning: AI Models for Real-Time Optimization of Enterprise Financial Journeys. International Journal of Emerging Trends in Computer Science and Information Technology, 2(1), 88-100.

Obrenovic, B., Du, J., Godinic, D., Tsoy, D., Khan, M. A. S., & Jakhongirov, I. (2020). Sustaining enterprise operations and productivity during the COVID-19 pandemic:“Enterprise Effectiveness and Sustainability Model”. Sustainability, 12(15), 5981.

Gunasekaran, A., Subramanian, N., & Ngai, W. T. E. (2019). Quality management in the 21st century enterprises: Research pathway towards Industry 4.0. International journal of production economics, 207, 125-129.

Downloads

Full Book

Published

29 April 2026
Copyright (c) 2026 Yogiraj Awati

Details about the available publication format: E-Book

E-Book

ISBN-13 (15)

978-93-7185-367-5

Details about the available publication format: Book (Paperback)

Book (Paperback)

ISBN-13 (15)

978-93-7185-815-1

How to Cite

Awati, Y. . (2026). The Theory of Autonomous Enterprises: Architecting AI-Driven, Agent-Based Business Systems for Scalable and Self-Operating Organizations. Deep Science Publishing. https://doi.org/10.70593/978-93-7185-367-5
Download Citation