Intelligent Automation in Digital Transformation Strategy

Harness the full potential of Intelligent Automation (IA) to transform your businesses, stay competitive, and navigate the complexities of today's digital landscape. This book is a comprehensive guide for business leaders, executives, and automation professionals, exploring how Intelligent Automation (IA) has evolved from traditional Robotic Process Automation (RPA) to become a powerful catalyst in Digital Transformation.

Begin with the fundamentals of IA and its progression from simple, rule-based RPA to advanced IA, incorporating AI-driven technologies like Machine Learning, Generative AI, and Agentic AI. These emerging technologies empower organizations to tackle more complex processes, enabling intelligent decision-making and enhanced customer interactions prompting the necessity for robust governance and alignment with broader business objectives, which is a primary focus of this book.

To combat that, you'll review actionable frameworks and governance models designed to support the development and sustainability of IA programs at scale. The book provides a structured roadmap to establish an IA Center of Excellence (CoE), ensuring that automation efforts align with the organization's Digital Transformation goals. By integrating governance processes, risk management, and best practices, you'll be able to build IA initiatives that are resilient, compliant, and strategically impactful. Intelligent Automation for Digital Transformation demystifies the journey to becoming a digitally native organization.

Who This Book is For

Leaders responsible for shaping their organization's long-term strategy, digital innovation, and business process efficiency agenda. Executives in the financial services, healthcare, and other highly regulated industries where a risk management mindset and proper governance framework is key. Consultants and advisors within the business transformation and automation space who are ena-bling companies in their journey to become digitally native.

Gain insights into creating robust governance frameworks to ensure scalable, compliant, and resilient IA programs Learn to align IA initiatives with business objectives, enabling them to drive innovation and enhance efficiency Use tools for identifying high-impact IA opportunities, fostering collaboration between IT and business teams

Autorentext

Jonathan Hardy is a seasoned leader in Intelligent Automation (IA) and Digital Transformation, currently guiding Intelligent Automation Software Engineering at a major US regional bank. Driven by a deep conviction that IA is an essential strategic enabler, yet often undervalued, Jonathan wrote this book to help elevate its importance to the enterprise. He holds a Bachelor of Science in Corporate Finance and Investments from the University of Alabama and an MBA in Finance from Mercer University. In addition, he is a certified Financial Risk Manager (FRM) and Project Management Professional (PMP). On a personal note, Jonathan has been married for 22 years and is a devoted father to two special needs children: a daughter who is academically gifted and a son with severe autism. His family life fuels his passion for his support for his daughter and her many pursuits and his autism research and advocacy. Beyond his professional and personal commitments, Jonathan is also an avid writer, regularly sharing insights on the transformative power of IA through LinkedIn and other platforms, and Artificial Intelligence and emerging technologies more broadly.

Klappentext

Intelligent Automation for Digital Transformation is a comprehensive guide for business leaders, executives, and automation professionals, exploring how Intelligent Automation (IA) has evolved from traditional Robotic Process Automation (RPA) to become a powerful catalyst in Digital Trans-formation. In today's rapidly changing business environment, IA offers far more than task automa-tion, but is a strategic enabler that supports operational excellence, enables customer experience, and drives innovation.

This book begins with the fundamentals of IA and its progression from simple, rule-based RPA to advanced IA, incorporating AI-driven technologies like Machine Learning, Generative AI, and Agen-tic AI. These emerging technologies empower organizations to tackle more complex processes, ena-bling intelligent decision-making and enhanced customer interactions. However, with increased complexity comes the necessity for robust governance and alignment with broader business objec-tives, which is a primary focus of this book.

Readers will discover actionable frameworks and governance models designed to support the de-velopment and sustainability of IA programs at scale. The book provides a structured roadmap to establish an IA Center of Excellence (CoE), ensuring that automation efforts align with the organiza-tion's Digital Transformation goals. By integrating governance processes, risk management, and best practices, this guide enables companies to build IA initiatives that are resilient, compliant, and strategically impactful.

Through real-world case studies, insights into IA's latest advancements, and a clear approach to im-plementation, this book demystifies the journey to becoming a digitally native organization. It's an essential resource for those looking to harness the full potential of IA to transform their businesses, stay competitive, and navigate the complexities of today's digital landscape.

Inhalt

Prologue .- Part I: The Strategic Imperative of Intelligent Automation.- Chapter 1: Intelligent Automation as a Driver of Business Model Innovation.- Chapter 2: Transforming the Customer Experience with IA.- Chapter 3: IA as an Employee Empowerment Tool.- Part II: Building a Foundation for Digital Transformation Success .- Chapter 4: Developing a Strategic Roadmap for Intelligent Automation.- Chapter 5: The Role of an Intelligent Automation Framework in Digital Transformation.- Chapter 6: Fostering an Enterprise-Wide Automation Development Mindset.- Chapter 7: How Intelligent Automation is Key to Driving Strategic Value.- Part III: Crafting a Digital Transformation Strategy.- Chapter 8: Aligning IA with Digital Transformation Principles.- Chapter 9: Sustaining Being Digitally Native.- Part IV: The Emerging Future for IA and Digital Transformation.- Chapter 10: Emerging Technologies That Are Driving the Path Forward.- Chapter 11: Intelligent Automation in the Age of Agentic AI.- Epilogue.- Glossary.- References.