The Self-Driving State AI-Driven Governance and the Transformation of Public Administration

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Professional Practice in Governance and Public Organizations

The Self-Driving State

AI-Driven Governance and the Transformation of Public Administration

Florian Schnitzhofer | Patrick Pils | Philipp Seper-Ambros | Neil Solomon

Business & Economics / Public Finance

This book introduces the concept of a "self-driving state", a vision of governance in which traditional bureaucratic structures are replaced by highly automated, service-oriented administrative systems. This model emphasizes seamless efficiency and responsiveness, redefining the relationship between the state and its citizens through advanced digital technologies.

Drawing on decades of advisory experience in the public sectors of Germany and Austria, the authors present a forward-looking framework for AI-driven administration. They trace the evolution from classical bureaucratic principles to autonomous decision-making and offer a systematic roadmap for implementing this transformation.

This book addresses policymakers, professionals, and scholars of public governance and explores how innovations such as digital legislative twins, optimized administrative workflows, and enhanced citizen services can improve quality of life and strengthen economic competitiveness. Through numerous applied examples, the authors demonstrate how the self-driving state can transition from concept to reality, providing both theoretical foundations and practical guidance for progressive public administration.

Florian Schnitzhofer is a visionary and management consultant for AI and software, founder of Sysparency, owner of ReqPOOL group and investor in highly scalable software and AI companies. 

Patrick Pils is an Austrian AI and technology expert who, as founder and CEO of LETO SPACE GmbH, drives digital transformation through satellite-based technologies. 

Philipp Seper-Ambros is an experienced Austrian management consultant for software and managing director and managing partner for the public sector at ReqPOOL.


Publication Date: 11 January 2027
Publisher: Springer Berlin Heidelberg
Imprint: Springer
ISBN-13: 9783662741764
Format: Hardback

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