The evolution of AI isn't just about predictive models and automation; it's about the emergence of "agentic" capabilities--autonomous and specialized AI systems that operate with a sense of independence by acting on a user's behalf. This book explores, through dialogue between the authors, the transformative role of AI in modern organizations, beginning with its evolution from automation to augmentation and the paradigm shift in human-machine collaboration.

The book starts with Microsoft's AI ecosystem, showcasing tools like Copilot, Power Platform, Dynamics 365, and Azure AI that enable AI agentic solutions. It further emphasizes responsible AI implementation, covering ethical guidelines, risk mitigation, and security measures with a specific focus on agentic systems. Finally, it provides a roadmap for businesses and professionals to adapt to an agentic workforce, measuring AI's impact while preparing for future breakthroughs.

After reading this book, you will be able to leverage agentic systems at scale and also address the implications of using agentic AI responsibly.

What You Will Learn:

• The foundations of "agency" in AI
• Practical strategies for implementing agentic AI solutions using Microsoft's ecosystem
• Best practices in Responsible AI, ethical considerations, and risk mitigation for autonomous agents
• Actionable next steps for embracing agentic AI in day-to-day work and broader AI transformation efforts

The evolution of AI isn't just about predictive models and automation; it's about the emergence of "agentic" capabilities--autonomous and specialized AI systems that operate with a sense of independence by acting on a user's behalf. This book explores through dialogue between the authors, the transformative role of AI in modern organizations, beginning with its evolution from automation to augmentation and the paradigm shift in human-machine collaboration.

The book starts with Microsoft's AI ecosystem, showcasing tools like Copilot, Power Platform, Dynamics 365, and Azure AI that enable AI agentic solutions. It further emphasizes responsible AI implementation, covering ethical guidelines, risk mitigation, and security measures with a specific focus on agentic systems. Finally, it provides a roadmap for businesses and professionals to adapt to an agentic workforce, measuring AI's impact while preparing for future breakthroughs.

After reading this book, you will be able to leverage agentic systems at scale and also address the implications of using agentic AI responsibly.

What You Will Learn:

• The foundations of "agency" in AI
• Practical strategies for implementing agentic AI solutions using Microsoft's ecosystem
• Best practices in Responsible AI, ethical considerations, and risk mitigation for autonomous agents
• Actionable next steps for embracing agentic AI in day-to-day work and broader AI transformation efforts

Who This Book Is For:

AI engineers, Business Analysts, and enterprise architects curious about specialized AI strategies