The Agentic AI Company

How AI and Multi-agent Systems are Transforming Business
Erscheinungsjahr 2027
ISBN: 978-3-032-46437-8
Verlag: Springer

Buch, Englisch, Format (B × H): 155 mm x 235 mm

provides a practical management framework for organizations moving from generative AI to systems that can pursue goals, use tools, make decisions and act within defined boundaries. Its central argument is that agentic transformation is not simply a technology investment; it is an organizational redesign involving work, authority, accountability, ownership and control.

The book shows how leaders can decide when work is ready to be delegated to an agent, when one agent should remain a single decision loop and when work should be divided across multiple agents, what human judgment should remain, and how authority can be widened or narrowed on evidence. Practical tools include the Delegation Readiness Screen, Decision Autonomy Matrix, Outcome Ownership Map, Autonomy Warrant and Control Envelope. Together, they help managers redesign hybrid human-agent work while keeping decision rights, accountability and governance explicit.

The book also examines how agentic systems can change organizational structure and business models. Functions remain important as homes of capability, while end-to-end outcomes increasingly require cross-functional ownership. As software moves from supporting work to completing defined units of it, the Sellable Outcome Test and Exposure Sheet help organizations determine what can credibly be sold as an outcome and what commercial risk the firm is willing to carry. The book also develops models such as Agent-as-a-Service and Results-as-a-Service and examines how value and risk can be shared with customers.

Written in accessible, non-technical language, the book is designed for executives, function heads, transformation leaders and other decision-makers responsible for introducing agentic systems into real organizations. Rather than treating maximum autonomy as the goal, it offers a disciplined way to determine what agents should be allowed to do, what evidence should support that authority, what remains under human judgment and how that authority can be controlled and withdrawn.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Ustundag, Alp

Fachgebiete

• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Fertigungstechnik
• Wirtschaftswissenschaften Betriebswirtschaft Management Forschung & Entwicklung (F&E), Innovation
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Wirtschaftswissenschaften Betriebswirtschaft Management Entscheidungsfindung

Inhaltsverzeichnis

Part I. From Models to Agents.- Introduction: The End of Software as We Know It.- From Chatbots to Co-Workers.- When One Agent Is Not Enough.- Part II. The New Workforce.- The Hybrid Workforce.- When Function Is No Longer the Unit of Work.- Part III. Building the Agentic Enterprise.- Building the Agent-Ready Foundation.- From Pilot to Autonomy.- Governing Autonomy.- Part IV. The Outcome Economy.- AI-Native Business Models.- Pricing Outcomes, Sharing Risk.- Conclusion: The Agentic Company.- Appendix.

Über Autor(innen)

Alp Ustundag is a professor-practitioner, entrepreneur and technology executive working at the intersection of artificial intelligence, financial analytics and organizational transformation. He is the founder and Managing Director of Navimod Financial Analytics Solutions and leads Astera Finance by Navimod, the firm’s institutional platform for AI-driven investment strategies and intelligent decision systems.

Ustundag has more than two decades of academic experience at Istanbul Technical University, where he served as Professor of Industrial Engineering, founding chair of the Department of Data Engineering and Business Analytics, chair of the Department of Industrial Engineering and vice dean of the Faculty of Management. He also played a leading role in establishing ITU’s Technology Transfer Office and founded graduate and executive education programs in business analytics and data science.

Through Navimod and Astera, he has led applied AI and financial technology projects for banks, asset managers, brokerages and financial market institutions. He has published extensively in artificial intelligence, financial analytics, optimization and digital transformation, and is the author or editor of four Springer books: The Value of RFID (2012), Industry 4.0: Managing the Digital Transformation (2017), Business Analytics for Professionals (2022) and The Agentic AI Company.