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Lean Enterprise Architecture

A Practical Guide to Value-Driven Enterprise Architecture

This book is 100% completeLast updated on 2026-07-26
Romano Roth and Dietmar Wettach

Lean Enterprise Architecture (LEA) redefines EA as a lean, value-driven discipline that bridges strategy, business, and technology. Instead of static blueprints, it shows you how to build adaptive architectures, enable transformation, and create measurable impact. Whether you are an enterprise architect, IT strategist, or business leader, LEA equips you to lead with clarity and influence.

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About

About

About the Book

Lean Enterprise Architecture (LEA) is a practical, value-driven guide to enterprise architecture for organizations that need to change fast.

Roughly two out of three EA initiatives fail because they operate as ivory towers, producing artifacts that nobody uses. This book teaches you how to avoid that fate. It treats enterprise architecture as a leadership discipline that connects strategy with execution and business with technology, and it applies a lean philosophy throughout: start small, deliver value early, and expand only where the organization genuinely benefits.

LEA was written as the lecture companion for the CAS Enterprise Architecture program at HSLU (Hochschule Luzern) and doubles as a lasting professional reference. Its 32 chapters are organized into six thematic parts, from EA foundations to governance, methods, and AI. Every chapter states its learning objectives up front and closes with key takeaways, and more than 100 diagrams support the text.

You will learn how to:

  • Position EA as a steering instrument that translates strategy into roadmaps and traceable decisions.
  • Design business architectures with capability maps and use them to plan your application landscape.
  • Drive enterprise transformation and change management with proven frameworks and patterns.
  • Set up governance that works: project portfolio management, IT controlling, and compliance without heavyweight bureaucracy.
  • Model and communicate with TOGAF, Zachman, ArchiMate, BPMN, DMN, UML, and C4.
  • Navigate today's technology landscape, from cloud-native platforms and API-first integration to FinOps.
  • Work with artificial intelligence as an enterprise architect, from fundamentals to AI strategy and daily practice.

Who is this book for?

For students of the CAS Enterprise Architecture program, and for every practitioner who wants to strengthen their EA practice: enterprise architects, business architects, solution architects, IT strategists, and transformation professionals. Whether you come from a technical background moving toward strategy or from a business background seeking to understand technology decisions, this book meets you where you are.

Why this book?

Because organizations need architects who reduce decision latency and integration risk, and who lead with influence rather than documents. "Lean" means prioritizing practical relevance over theoretical completeness: every chapter gives you knowledge you can apply immediately in your own organization.

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DevOpsCloud ComputingSoftware ArchitectureBusiness ArchitectureDigital TransformationLeadershipAgile EnterpriseEnterprise Architecture

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Author

About the Authors

Romano Roth

I believe the next competitive edge isn’t AI itself, it’s the organisation around it. Feedback loops, governance, and continuous adaptation across people, process, and technology.

With over two decades in the technology sector, I focus on AI-augmented delivery, platform engineering, and enterprise evolution. As Group Chief AI Officer (CAIO) at Zühlke, I shape the global strategy and service portfolio for AI-Augmented Delivery & Platform, AI integration, platform engineering, and cloud solutions. My work redefines how organizations innovate, adapt, and scale in industries such as finance, insurance, cybersecurity, energy, healthcare, and aerospace.

In a world reshaped by Artificial Intelligence (AI), I believe the key to resilience and competitiveness lies in becoming AI-augmented, AI-enabled, and ultimately AI-native: a new operating model driven by feedback loops, intelligent workflows, and self-learning systems that place customer success at the center. I empower companies to continuously create value by harmonizing people, processes, technology, and AI.

I began my journey at Zühlke more than two decades ago, evolving from software engineer and architect to trusted consultant, and now to my leadership role as Chief AI Officer. My passion for value creation through automation and quality led me from engineering into the DevOps movement and further into the forefront of enterprise transformation.

I organize the monthly DevOps Meetup in Zürich and serve as president of DevOpsDays Zürich, an annual conference within the global DevOps movement. I share my insights via my YouTube channel, with over 500 videos, and through well over 30 blog articles focused on DevOps, architecture, leadership, and transformation.

My commitment to thought leadership and education extends to my role as a lecturer in DevOps leadership, agile methodologies, digital transformation, and enterprise architecture at the Lucerne University of Applied Sciences and Arts. I champion a culture of innovation and agility, helping enterprises evolve into adaptive systems capable of thriving in complex, fast-changing environments.

My work has been recognized through several awards and honors, reflecting my contributions to technology leadership and digital transformation.

The Leanpub Podcast
Dietmar Wettach

80 per cent of successful attacks on ICT infrastructure trace back to the human factor – more often a misunderstanding than an act of intent. With one foot firmly planted in ICT security, I want to play my part in making sure enterprise architecture is not just designed on paper, but genuinely lived.

I currently work as IAM Solution Engineer at Zurich Airport, where I am responsible for the global roles and permissions concept, working closely with both the architecture team and the people who use these systems every day. Identity and Access Management, and Identity Governance and Administration (IGA), have been my focus for more than ten years.

This specialisation grew out of earlier years as team and project lead at the intersection of IT strategy, organisational change and technical delivery, including roles at SWISS and Swisscom. That period sharpened a conviction I still hold: architecture only works if the people who use it every day help carry it.

The foundation for all of this is over twelve years of international experience in the SAP environment, where I was responsible for ERP landscapes, process integration and system architectures across multiple industries. That time gave me an instinct for how complexity builds up – and how governance fails the moment architecture is treated as a mere formality.

I bring this same conviction into teaching. As Head of Program at the Lucerne University of Applied Sciences and Arts, I am responsible for the CAS Enterprise Architecture, the CAS Cloud Platform Manager and the CAS Digital Transformation. My aim there is the same as in my daily work: to keep architecture and technology anchored to those have to understand, apply and ultimately trust them.

Throughout, I have looked at enterprise architecture from two sides that overlap more than they differ: as a practitioner among its users, shaped by my time in SAP, at SWISS and at Swisscom, and through the lens of compliance, governance and security, shaped by SWISS, Swisscom and Zurich Airport. Both keep bringing me back to the same starting point – the 80 per cent that decides whether architecture stays on paper or is genuinely lived is human.

Podcast

Podcast Episode

Contents

Table of Contents

Forewords

  1. Foreword by Prof. Dr. Oliver T. Gilbert
  2. Foreword by Prof. Markus Dobbelfeld

Introduction

  1. Why Enterprise Architecture Matters
  2. Who This Book Is For
  3. How This Book Is Structured
  4. How to Use This Book
  5. The Lean Approach
  6. Three Dimensions: Process, Organization, Technology
  7. CAS Module-to-Chapter Mapping
  8. Summary
  9. Part I: EA Foundation

EA Foundation

  1. Learning Objectives
  2. What Is Enterprise Architecture?
  3. Business-IT Alignment
  4. EA as a Means to an End
  5. EA Elaboration Approaches
  6. Levels and Styles of Modeling
  7. The EA Lifecycle
  8. The Four Layers of Enterprise Architecture
  9. Planning Levels and Horizons
  10. EAM as the Spider in the Web
  11. Summary
  12. Key Takeaways

Roles in Enterprise Architecture

  1. Learning Objectives
  2. The Enterprise Architect as Nexialist
  3. The Architect Elevator
  4. Enterprise, Solution, and Application Architecture
  5. ICT Role Categories
  6. EA Organizational Models
  7. Governance and Leadership Roles
  8. Architecture Function Engagement Levels
  9. Architecture Function Service Catalog
  10. EA Certifications
  11. Practical Advice for New Enterprise Architects
  12. The Enterprise Architect’s Stakeholder Relationships
  13. Summary
  14. Key Takeaways

EA Communication and Stakeholder Management

  1. Learning Objectives
  2. The Communication Challenge
  3. Stakeholder Analysis and Segmentation
  4. Communication Frameworks
  5. Architecture Decision Records
  6. Communication Channels and Cadences
  7. Influencing Without Authority
  8. Arguing for EAM Internally
  9. Summary
  10. Key Takeaways

Lean EAM

  1. Learning Objectives
  2. Why Traditional EAM Fails
  3. Success Factors for Lean EAM
  4. The Three-Speed Model
  5. Minimum Viable EA
  6. Practical Tips
  7. Summary
  8. Key Takeaways

EAM Maturity

  1. Learning Objectives
  2. Hanschke’s EAM Maturity Model
  3. Assessment Dimensions
  4. CMMI as a Reference Framework
  5. Conducting a Maturity Assessment
  6. Common Pitfalls in Maturity Assessment
  7. The Growth Path
  8. Beyond Steering: The Adaptive Horizon
  9. Connection to Lean EAM
  10. Summary
  11. Key Takeaways
  12. Part II: Strategy & Transformation

Enterprise Transformation

  1. Learning Objectives
  2. The Transformation Challenge
  3. IT Strategy Development
  4. Architecture States and Gap Analysis
  5. Transformation Roadmap
  6. Organizational Design
  7. Value Stream Management
  8. OKRs vs. KPIs
  9. Product Thinking
  10. Multiple Criteria Decision Analysis (MCDA)
  11. Connecting the Dots
  12. Twelve Keys to Successful Transformation
  13. Summary
  14. Key Takeaways

Change Management

  1. Learning Objectives
  2. Beckhard’s Model
  3. The Change Management Workflow
  4. Three Classic Models
  5. Culture as a Mission-Critical Factor
  6. Change Communication
  7. Lessons from Practice
  8. Change Management Do’s and Don’ts
  9. Enterprise Architecture and Change
  10. Introducing EAM as a Change Challenge
  11. Agile and DevOps Adoption as Change Management
  12. Summary
  13. Key Takeaways
  14. Part III: Architecture Domains

Business Architecture

  1. Learning Objectives
  2. Business Architecture vs. Enterprise Architecture
  3. The Business Model as Heart and Soul
  4. Four Key Elements of Business Architecture
  5. Process Management in the EA Context
  6. Business-to-IT Alignment
  7. The Inverse Conway Maneuver and Organization 4.0
  8. Porter’s Value Chain
  9. Wardley Mapping
  10. Operating Model Canvas
  11. Summary
  12. Key Takeaways

Capability Mapping

  1. Learning Objectives
  2. Why Capabilities Matter
  3. What Makes a Good Capability
  4. Structuring a Capability Map
  5. Capability Decomposition
  6. Linking Capabilities to Architecture
  7. Heatmaps and Assessments
  8. Creating a Capability Map
  9. Common Pitfalls
  10. Capability-Based Planning
  11. Summary
  12. Key Takeaways

Information Architecture

  1. Learning Objectives
  2. Information Architecture in the EA Context
  3. The Five Pillars of Information Architecture
  4. Navigation Design
  5. Information Architecture in the Enterprise
  6. Taxonomies and Controlled Vocabularies
  7. IA Deliverables
  8. IA Testing and Validation
  9. Summary
  10. Key Takeaways

Application Landscape Planning

  1. Learning Objectives
  2. The Concept of Application Landscape Planning
  3. Analyzing the Current Landscape
  4. Designing the Target Landscape
  5. Application Portfolio Assessment
  6. System Criticality Assessment
  7. Rationalization
  8. Building the IT Roadmap
  9. Landscape Visualization
  10. Connecting to Strategic Planning
  11. Summary
  12. Key Takeaways

Data Architecture

  1. Learning Objectives
  2. Data Architecture Layers
  3. Data Governance Framework
  4. Master Data Management
  5. Data Quality
  6. Modern Data Architecture Patterns
  7. Regulatory Considerations
  8. Data Catalog and Metadata Management
  9. Data Deletion and Decommissioning
  10. Summary
  11. Key Takeaways

Integration Architecture

  1. Learning Objectives
  2. Evolution of Application Architecture
  3. Integration Patterns
  4. API Architecture
  5. Event-Driven Architecture in Depth
  6. Data Integration
  7. Integration Security
  8. Integration Governance
  9. Choosing the Right Integration Pattern
  10. Integration Scenarios
  11. Integration Testing
  12. Summary
  13. Key Takeaways
  14. Part IV: Governance & Steering

Governance and Compliance

  1. Learning Objectives
  2. What Is EA Governance?
  3. The EA Governance Framework
  4. Three Lines of Defense
  5. EA Frameworks Overview
  6. Technical Debt
  7. EA Organizational Structures
  8. Governance Roll-Out
  9. Summary
  10. Key Takeaways

Project Portfolio Management

  1. Learning Objectives
  2. From Single Projects to Portfolio Thinking
  3. Portfolio Governance
  4. Portfolio Categories
  5. Decision Criteria and Visualization
  6. Synchronization and Cadence
  7. How Architecture Informs Portfolio Decisions
  8. Anchoring EAM in Portfolio Management
  9. From Projects to Products
  10. Summary
  11. Key Takeaways

IT Controlling

  1. Learning Objectives
  2. Getting Started
  3. Strategic IT Controlling
  4. Operational IT Controlling
  5. KPIs for IT Management
  6. IT Cost Transparency
  7. Connection to Enterprise Architecture
  8. FinOps: Cloud Cost Management
  9. Technology Business Management (TBM)
  10. Chargeback vs. Showback
  11. Summary
  12. Key Takeaways
  13. Part V: Methods & Tools

TOGAF

  1. Learning Objectives
  2. History and Evolution
  3. The Architecture Development Method (ADM)
  4. The Architecture Repository
  5. TOGAF 10 Modularity
  6. Tailoring the ADM
  7. TOGAF Certification
  8. Relationship to Other Frameworks
  9. Critical Assessment
  10. Summary
  11. Key Takeaways

Zachman Framework

  1. Learning Objectives
  2. The Engineering Analogy
  3. The 6x6 Matrix
  4. The Zachman Framework as Completeness Checklist
  5. Zachman vs. TOGAF
  6. Modern Relevance
  7. Limitations
  8. Summary
  9. Key Takeaways

ArchiMate

  1. Learning Objectives
  2. The Layer Model
  3. Elements and Categories
  4. Element Notation Reference
  5. Relationships
  6. Cross-Cutting Concepts
  7. The ArchiMate Design System
  8. Viewpoints and Views
  9. ArchiMate in Practice: A Cross-Layer Example
  10. When to Use ArchiMate (and When Not To)
  11. Practical Tips
  12. Summary
  13. Key Takeaways

Process and Decision Modeling

  1. Learning Objectives
  2. BPMN: Business Process Model and Notation
  3. DMN: Decision Model and Notation
  4. Integrating BPMN and DMN
  5. Practical Tips for Enterprise Architecture
  6. Summary
  7. Key Takeaways

Software and System Modeling

  1. Learning Objectives
  2. UML: The General-Purpose Standard
  3. SysML: Beyond Software
  4. C4 Model: Architecture for Communication
  5. Architecture as Code
  6. Choosing the Right Notation
  7. Summary
  8. Key Takeaways

EA Metamodels

  1. Learning Objectives
  2. TOGAF Content Framework
  3. Hanschke’s Four-Layer Metamodel
  4. BIZBOK Business Architecture Guide
  5. Building a Custom Metamodel
  6. Metamodel Attributes as Decision Criteria
  7. The Metamodel as Governance Foundation
  8. Common Pitfalls
  9. Summary
  10. Key Takeaways

EA Visualizations

  1. Learning Objectives
  2. Landscape Plans (Bebauungsplangrafiken)
  3. Blueprint Graphics
  4. Portfolio Graphics
  5. Information Flow Graphics
  6. Mapping Tables (Zuordnungstabellen)
  7. Lifecycle Graphics
  8. Master Plan Graphics
  9. IT Roadmap Graphics
  10. Successor Graphic (Nachfolgergrafik)
  11. Platform Graphic (Plattformgrafik)
  12. Choosing the Right Visualization
  13. Tooling
  14. Steering Views (Steuerungssichten)
  15. Summary
  16. Key Takeaways

EA Tooling

  1. Learning Objectives
  2. From Spreadsheets to Platforms
  3. Tool Categories
  4. Key Capabilities of EA Tools
  5. Selecting the Right Tool
  6. Matching Tool Complexity to EA Maturity
  7. Practical Recommendations
  8. CMDB vs. EA Repository
  9. Summary
  10. Key Takeaways

Synthesis: Methods and Tools in Practice

  1. What We Have Covered
  2. Recommendations
  3. Best of Breed
  4. Part VI: Technology & AI

Technology Strategy

  1. Learning Objectives
  2. The Cybernetic Enterprise
  3. The Automation Framework
  4. Buy vs. Build
  5. Digital Sovereignty
  6. Organizational Models for Technology Delivery
  7. Summary
  8. Key Takeaways

Technology Operations

  1. Learning Objectives
  2. DevOps Philosophy
  3. DORA Metrics
  4. Platform Engineering
  5. Who Runs It: Six Operational Models
  6. Cloud and Infrastructure
  7. Cloud Operating Model
  8. Summary
  9. Key Takeaways

Technology Patterns

  1. Learning Objectives
  2. Security Architecture
  3. Architecture Patterns
  4. Quality Attributes
  5. Building Blocks: ABB and SBB
  6. OT, IT, and Convergence
  7. Technology Radar
  8. Technology Reference Model
  9. Innovation Management
  10. Technology Trends 2026
  11. Summary
  12. Key Takeaways

AI Fundamentals

  1. Learning Objectives
  2. AI Reality Check
  3. AI Fundamentals
  4. Prompting
  5. Trust and Responsibility
  6. Data Privacy and Security
  7. AI Regulation
  8. AI in the Enterprise Architecture
  9. Summary
  10. Key Takeaways

AI Strategy: A Recipe, Not a Blueprint

  1. Learning Objectives
  2. We Are Late Again
  3. The Strategy Paradox: No Single Right Way
  4. Core Ingredients of an AI Strategy
  5. The AI Strategy Lifecycle
  6. From Vision to Roadmap
  7. Governance as a Foundation, Not an Afterthought
  8. Organizational Readiness and Change
  9. Why AI Strategies Fail
  10. Measuring Success
  11. Summary
  12. Key Takeaways

AI in Practice

  1. Learning Objectives
  2. AI Agents
  3. Human-AI Collaboration
  4. The Cybernetic Enterprise
  5. AI Reference Architecture
  6. RAG: Retrieval-Augmented Generation
  7. LLM Tool Selection
  8. AI Adoption Maturity in EA
  9. AI in Enterprise Architecture Practice
  10. AI and EA Governance
  11. AI Resilience by Design
  12. 12 Key Concepts from the Technology and AI Chapters
  13. Summary
  14. Key Takeaways
  15. Part VII: Conclusion

Conclusion

  1. Learning Objectives
  2. Connectivity to EA’s Brave New World
  3. The Lean Approach to Enterprise Architecture
  4. The Practitioner’s Compass: Make It Work, Make It Fit, Make It Last
  5. Standing on the Shoulders: From Traditional IT to the Cybernetic Enterprise
  6. Looking Ahead
  7. What to Read Next
  8. Your Journey Starts Here
  9. Appendix

Glossary

Bibliography

  1. Books
  2. Articles and Online Resources
  3. Standards and Frameworks
  4. Reports

Further Reading

  1. EA Foundations
  2. Business Architecture
  3. Organizational Design
  4. Data and Integration
  5. AI
  6. Modeling
  7. Architecture as Code
  8. Change and Leadership

About the CAS Enterprise Architecture Program

About the Authors

  1. Why These Two Authors?
  2. Romano Roth
  3. Dietmar Wettach

How This Book Was Made

  1. The Book as a Product
  2. AI-Assisted Authorship
  3. Boundaries, Copyright, and Trust

Acknowledgments

  1. Romano Roth
  2. Dietmar Wettach

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