"Agentic AI has emerged as a game-changer for customer service, paving the way for autonomous and low-effort customer experiences."
- Daniel O'Sullivan, Senior Director Analyst at Gartner

As AI systems move beyond automation into the territory of complex decision-making, the ability to integrate agentic AI into business processes has become an essential enterprise-level capability. Author Matt Carlson presents a thorough and comprehensively structured work on this matter that articulates the discipline of integrating autonomy within business operations. Written for business leaders, executives, and entrepreneurs, this book provides the conceptual foundations and practical architectures needed to deploy agentic AI effectively and at scale across operations.

Spanning 20 modules organized into six chapters, the book opens with foundational principles: what agentic AI is and how variables such as context shape agent behavior. From there, it develops into applied integration patterns used in real organizations. Among others, readers learn how to incorporate agents into business processes, define boundaries of autonomy, design agent lifecycles, coordinate agents across functions, and establish governance mechanisms that keep systems accountable and safe. In essence, the goal is to increase organizational effectiveness and competence through the integration of AI agents.

Inside the Book:

• Chapter I - From Automation to Agency

• Chapter II - Aligning Agentic AI with Business

• Chapter III - Deploying Agents

• Chapter IV - Governance, Risk, and Control

• Chapter V - Real World Use Cases

• Chapter VI - Scaling Agentic AI Across the Organization

About the Author
Matt Carlson is an American author whose work centers on the convergence of artificial intelligence and business strategy. His background in business informatics and sales informs a pragmatic approach to AI, grounded in real organizational constraints and decision-making realities. His primary focus is on translating complex technical concepts into usable guidance for professionals seeking to apply AI in growth-oriented and operational contexts.

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• Computers & TechnologyComputer ScienceArtificial IntelligenceGenerative AI

• Publication Date: January 12, 2026
• Text-to-Speech: Disabled
• Lending: Disabled
• Print Length: 159 Pages
• File Size: 18 KB