AI Maturity in Business : Strategic Framework, Governance and Evidence from Polish Enterprises

The book offers a comprehensive and empirically grounded examination of how enterprises develop, embed, and govern AI capabilities as part of their strategic and operational transformation. It introduces a multidimensional AI maturity framework that places technological advancement within broader strategic, human, and cultural contexts.

The book examines how enterprises develop, embed, and govern AI capabilities as part of their strategic and operational transformation. Bridging fragmented discussions across management studies, information systems, and computer science, the monograph introduces a multidimensional AI maturity framework that places technological advancement within broader strategic, human, cultural, and regulatory contexts. The framework integrates six key dimensions—leadership and AI vision; data and technology foundations; human capital and change enablement; organizational culture; governance, ethics, and compliance; and value realization—providing a holistic lens for understanding how organizations progress from initial experimentation to fully optimized, responsibly governed AI operations. The empirical part relies on an original survey of around 600 enterprises of various industries and sizes. Key Features:Integrates cutting-edge thinking on AI maturity with a rigorously tested, multidimensional framework that aligns with the emerging European regulatory landscape, including the AI Act and CSRD. Presents the first large-scale, data-driven assessment of AI maturity in Polish enterprises, offering rare and valuable insight into how organizations in Central and Eastern Europe are approaching AI adoption. Introduces a comprehensive six-dimension model that captures the strategic, technological, human, cultural, governance, and value-creation aspects of building AI capabilities inside organizations. Provides practical diagnostic tools and clear development pathways—ranging from foundational to transformational—that help managers, policymakers, and consultants plan investments, build competencies, and navigate compliance expectations. Bridges academic rigor with real-world relevance by combining quantitative analysis with qualitative depth, supporting researchers and practitioners who need reliable benchmarks and comparative perspectives on AI-enabled transformation.