Agentic AI Strategy for Leaders E-Book

Finnian Ash

• Herausgeber: BookRix
• Kategorie: Fachliteratur
• Sprache: Englisch

Veröffentlichungsjahr: 2025

Beschreibung

Agentic AI is rapidly moving from experimental to essential—and leaders cannot afford to treat it as just another technology trend. For executives, the challenge is clear: how to seize the opportunity of autonomous AI agents while ensuring responsible governance, measurable ROI, and vendor trustworthiness.

Agentic AI Strategy for Leaders is the executive guide to navigating this frontier. You’ll learn how to evaluate when and where to deploy AI agents, establish governance structures that align with enterprise risk, and design the right metrics to track both value and safety. The book also covers vendor due diligence, helping leaders cut through hype and select partners who can deliver reliably at scale.

Written for professionals and executives, this book equips you with the frameworks, language, and decision tools to lead confidently in boardrooms, strategy sessions, and vendor negotiations. It is not about hype—it is about making agentic AI a disciplined, measurable, and transformative part of your enterprise strategy.

Leseprobe

Finnian Ash

Agentic AI Strategy for Leaders

Copyright © 2025 by Finnian Ash

All rights reserved. No part of this publication may be reproduced, stored or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning, or otherwise without written permission from the publisher. It is illegal to copy this book, post it to a website, or distribute it by any other means without permission.

This novel is entirely a work of fiction. The names, characters and incidents portrayed in it are the work of the author's imagination. Any resemblance to actual persons, living or dead, events or localities is entirely coincidental.

Finnian Ash asserts the moral right to be identified as the author of this work.

Finnian Ash has no responsibility for the persistence or accuracy of URLs for external or third-party Internet Websites referred to in this publication and does not guarantee that any content on such Websites is, or will remain, accurate or appropriate.

Designations used by companies to distinguish their products are often claimed as trademarks. All brand names and product names used in this book and on its cover are trade names, service marks, trademarks and registered trademarks of their respective owners. The publishers and the book are not associated with any product or vendor mentioned in this book. None of the companies referenced within the book have endorsed the book.

First edition

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Contents

1. Chapter 1

2. Chapter 1: Understanding Agentic AI

3. Chapter 2: The Importance of AI Governance

4. Chapter 3: Evaluating Opportunities for AI Agents

5. Chapter 4: ROI and Value Assessment

6. Chapter 5: Creating Effective Metrics for AI Performance

7. Chapter 6: Vendor Due Diligence in AI Deployments

8. Chapter 7: Navigating Regulatory Challenges

9. Chapter 8: Building an AI-Ready Culture

10. Chapter 9: Communicating AI Strategy Internally

11. Chapter 10: Collaborating with Cross-Functional Teams

12. Chapter 11: The Future of AI and Business

13. Chapter 12: Ensuring Ethical AI Use

14. Chapter 13: Case Studies in Agentic AI Implementation

15. Chapter 14: Overcoming Common AI Challenges

16. Chapter 15: The Role of AI in Transforming Business Models

17. Chapter 16: Preparing for an AI-Driven Future

18. Chapter 1: Understanding Agentic AI

19. Chapter 2: The Importance of AI Governance

20. Chapter 3: Evaluating Opportunities for AI Agents

21. Chapter 4: ROI and Value Assessment

22. Chapter 5: Creating Effective Metrics for AI Performance

23. Chapter 6: Vendor Due Diligence in AI Deployments

24. Chapter 7: Navigating Regulatory Challenges

25. Chapter 8: Building an AI-Ready Culture

26. Chapter 9: Communicating AI Strategy Internally

27. Chapter 10: Collaborating with Cross-Functional Teams

28. Chapter 11: The Future of AI and Business

29. Chapter 12: Ensuring Ethical AI Use

30. Chapter 13: Case Studies in Agentic AI Implementation

31. Chapter 14: Overcoming Common AI Challenges

32. Chapter 15: The Role of AI in Transforming Business Models

33. Chapter 16: Preparing for an AI-Driven Future

1

Chapter 1

Table of Contents

2

Chapter 1: Understanding Agentic AI

What is Agentic AI?

Capabilities of Agentic AI

Limitations and Challenges of Agentic AI

Benefits of Adopting Agentic AI

The Future of Agentic AI

3

Chapter 2: The Importance of AI Governance

Understanding AI Governance

Principles of Responsible AI Use

Establishing Governance Structures

Risk Management in AI Governance

Regulatory Compliance and AI

Future Trends in AI Governance

4

Chapter 3: Evaluating Opportunities for AI Agents

Understanding the AI Agent Landscape

Identifying Business Needs

Recognizing Favorable Conditions for Deployment

Evaluating ROI Potential

5

Chapter 4: ROI and Value Assessment

Understanding ROI in AI Investments

Tools and Frameworks for ROI Calculation

Measuring AI Performance Metrics

Aligning AI Metrics with Business Goals

6

Chapter 5: Creating Effective Metrics for AI Performance

Understanding AI Metrics

Establishing Measurable Goals

Tracking Performance Over Time

Ensuring Accountability Through Metrics

7

Chapter 6: Vendor Due Diligence in AI Deployments

Understanding Vendor Due Diligence

Assessing Vendor Capability and Reliability

Evaluating Compliance and Security Standards

Building Strong Partnerships

Measuring Success Post-Implementation

8

Chapter 7: Navigating Regulatory Challenges

Understanding Current AI Regulations

Balancing Innovation and Compliance

Building a Governance Framework

Engaging with Regulators and Stakeholders

9

Chapter 8: Building an AI-Ready Culture

Understanding AI Culture

Skill Development for AI Integration

Promoting an Innovative Mindset

Establishing Ethical Guidelines for AI

10

Chapter 9: Communicating AI Strategy Internally

Understanding Your Audience

Creating a Compelling Narrative

Leveraging Multiple Communication Channels

Encouraging Cross-Department Collaboration

Measuring and Reporting Progress

Building a Culture of AI Literacy

11

Chapter 10: Collaborating with Cross-Functional Teams

The Importance of Cross-Functional Collaboration

Defining Roles and Responsibilities

Leveraging Technology for Collaboration

Cultivating an Inclusive Culture

12

Chapter 11: The Future of AI and Business

Understanding the Current AI Landscape

Emerging Trends in AI Applications

Adapting Leadership Strategies to AI Advancements

Ensuring Responsible AI Governance

Identifying AI Success Metrics

Vendor Relationships and Due Diligence

Looking Ahead: The Future of AI in Business

13

Chapter 12: Ensuring Ethical AI Use

The Importance of Ethical AI

Developing Ethical Frameworks

Ensuring Fairness in AI Models

Promoting Transparency and Explainability

Implementing Governance Structures

Cultivating Ethical Leadership

14

Chapter 13: Case Studies in Agentic AI Implementation

Introduction to Case Studies

Case Study: Financial Services Firm

Case Study: Healthcare Provider

Case Study: Retail Industry Application

15

Chapter 14: Overcoming Common AI Challenges

Understanding AI Integration Challenges

Governance and Ethical Protocols

Measuring Success with AI

Vendor Relationship Management

16

Chapter 15: The Role of AI in Transforming Business Models

Understanding the Impact of AI on Business Models

Creating Value Propositions with AI

AI-Driven Transformations in Customer Experience

Case Studies in Successful AI Integration