Books

Most enterprises can deliver fast, but few can adapt at scale.The Cybernetic Enterprise introduces a unifying operating model that embeds AI, feedback loops, and platform thinking into the DNA of your organization. Learn how to build a system that senses change, learns continuously, and transforms disruption into strategic advantage.

As the digital economy changes the rules of the game for enterprises, the role of architects also changes. Rather than focus on software architecture alone, they must connect the penthouse, where the business strategy is set, and the engine room, where the enabling technology is implemented. Learn how to ride this Architect Elevator!

Teams are producing more code than ever. Dashboards are green. And something is quietly breaking. AI coding assistants didn't break your development process; they revealed it was already fragile. Reimagine, Don't Retrofit is a field-tested argument that the software development lifecycle itself needs to be reimagined for the AI era, from governance and metrics to team roles and delivery flow.

"The AI confirmed X for me" used as proof of X. Outputs that sound brilliant but don't hold up to a severe re-reading. A three-page "AI policy" that nobody reads. Sound familiar? Thinking with LLMs, the Right Way is the system of critical thinking applied to LLMs: the Thinking-With Triangle (Intent / Adversary / Editor), the four meta-decisions of governance, the Socratic and adversarial practices for investigating and verifying. Not prompt engineering: the method for not letting yourself be mirrored.

Stop fighting the infrastructure and start building the future. Building Software Platforms shows you how to transform raw cloud complexity into a seamless internal product. Learn the architectural blueprints and strategic plays to build a platform that gets out of the way, turning your developers from 'troubleshooters' into creative problem solvers.

Stop fighting the infrastructure and start building the future. Building Software Platforms shows you how to transform raw cloud complexity into a seamless internal product. Learn the architectural blueprints and strategic plays to build a platform that gets out of the way, turning your developers from 'troubleshooters' into creative problem solvers.

Clear concise discussion of what OKRs are, why you want to use them with agile, how to write them, deliver them and the pitfalls to avoid.

Die meisten Unternehmen können schnell liefern, aber nur wenige können sich in großem Maßstab anpassen.The Cybernetic Enterprise stellt ein einheitliches Betriebsmodell vor, das KI, Rückkopplungsschleifen und Plattform-Denken in die DNA Ihrer Organisation einbettet. Erfahren Sie, wie Sie ein System aufbauen, das Veränderungen wahrnimmt, kontinuierlich lernt und Disruption in strategische Vorteile verwandelt.

This book gives senior technology leaders a practical operating system for enterprise AI strategy. It turns scattered pilots into a board-ready plan by walking through strategy, economics, vendor decisions, ownership, governance, GenAI architecture, and roadmap assembly: AI Platform Scorecard, Use-Case Prioritization Matrix, Budget Model + Cost Guardrails, Vendor Decision Framework, RACI Matrix.

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.

Example chapter available on ThinkingEA.com - A Very Common Tragedy (Chapter 17)

"Who put that ad there and why? A beginner's guide to the machinery behind modern advertising, told through the story of one small bicycle shop."

Reliable Generative AI bridges business use and technical architecture. It teaches the foundations of prompt design, RAG, agentic workflows, tool use, structured outputs, safety patterns, and evaluation without assuming the reader is a software engineer. The focus is practical: understanding how AI workflows fail, how to design around those failures, and how to build systems that professionals can trust.

Close the gap between "AI that generates code" and "AI-assisted development for production software" with this complete, proven playbook including the six-phase arc from audit to production.