Note from the Author

I spent twenty years inside the machinery this book is about: designing HR operating models across forty countries, building the concept that grew into Cognizant's Talent Marketplace, reaching 375,000 users. I've been in the rooms where "just add one field" quietly becomes five years of technical debt.

The observation that produced this book has not been dramatic, but recurring. Across every transformation, every AI initiative, every yearly compensation review cutover weekend, the limiting factor was never intelligence, but coherence. Systems that could not agree with themselves about who an employee was, what a job meant, or what the organization still owed anyone.

Designing the Architecture of Dignity is my attempt to name that problem properly and give practitioners a discipline for solving it: not a manifesto for or against AI, and certainly not a vendor pitch for it. I wrote it from inside the work: the demo trap, the data cleanup that never quite finishes, the manager conversation the system forgets, the moment a payroll defect becomes someone's rent.

Who this is for

This book rewards practitioners most: early-career HR and HRIT professionals still forming their vocabulary for the field, technologists building HR-AI tools who want to understand the human consequences of what they ship, and architects trying to name a discipline that, until recently, had no settled name.

It was also written with the CHROs, CIOs, and business leaders who will eventually need to sponsor or approve this kind of work in mind, since the questions this book raises are ultimately questions they will have to decide. But the people doing the daily, hands-on work will get the most direct, applied use from it, and that's who it was built for first.

Why this is free.

My other two books, The Entropy of Us and RAG for HR, are open access for the same reason this one is. I am not selling anything. I am putting this work into circulation and asking it to be tested, argued with, and improved by people doing the actual work in HR, HR Technology, AI in HR, Future of Work, and Change Management. If it holds up, that is the only credential that matters.

What I expect from you as a reader.

Read it as a practitioner would. Skeptically, chapter by chapter, against your own systems. Each chapter ends with reflection questions built for exactly that. If you find the argument wrong somewhere, I would genuinely like to hear it. This set of reflection questions is inspired by the MBA cohorts I've had the honor to teach in guest lectures.

About the chat icon.

If you've noticed a small chat icon on this site, that's Ask the Book, a public beta feature that answers questions grounded directly in these chapters, with a citation back to the relevant section. It only knows what's written here, and it will tell you honestly when it doesn't know something rather than guess. It is not a way to reach me personally. For that, LinkedIn below is the right place.

A little more about me, if it's useful context.

Named a Top Consultant by Consulting Magazine in 2023, twenty years designing enterprise operating models for Fortune-scale organizations in functional HR, HRIT, and AI in HR, dual master's in Economics and Management, AI Strategies for Business Transformation (Kellogg Executive Education), and grown from an Analyst role through two decades of increasingly complex cross-geo, cross-domain workstreams within a single firm, a path that is uncommon in an industry where advisors are often brought in without ever having built or run the systems they are later paid to redesign. None of that is the point of the book: it's just why you might choose to spend the time.

Where to find the rest of the work:

If you want to reach me, LinkedIn is where I'm actually responsive.