BookView Review

Welcome to BookView Interview, a conversation series where BookView talks to authors.

Recently, we interviewed Robin Horstmann about her writing and soon-to-be released debut book, Summary of The Governed Enterprise: An AI Governance Playbook for Consumer Goods, a timely, authoritative playbook that makes a persuasive case for treating AI governance as a strategic business capability rather than a compliance exercise (Read the review here).

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Tell us some more about your book.

The Governed Enterprise is an AI governance playbook written specifically for consumer goods companies: food and beverage, personal care and cosmetics, household products, pet food, and over-the-counter health. Most AI governance books explain frameworks in the abstract. This one is written for the people who run CPG operations and now have to decide whether an AI system should be allowed to approve a purchase order, release a production batch, or screen a job applicant. It covers the whole program: who owns governance, how to write policies people will actually follow, how to govern the vendors and co-manufacturers who run AI on your behalf, and the specific use cases where CPG gets exposed, from marketing content to the plant floor. It is built to be used, not admired. You can open it before a board briefing or a vendor negotiation and find the relevant action item in the same language the chapter used.

What inspired the premise, and how did the book first come to be?

It started with a gap I hit myself. I was taking a course for the AIGP, my AI governance certification, and I went looking for a supplemental book on AI governance for consumer goods. It did not exist. The examples I kept finding were about credit scoring, lending approvals, healthcare, and government use of facial recognition. Good material but not built for CPG. I wanted scenarios that applied to consumer goods, with an eye toward CPG compliance. Consumer goods does not look like financial services or law en. We run production in-house and through co-manufacturers. We answer to the FDA, the USDA, and the FTC. We live inside GFSI food safety schemes, retailer requirements, and supply chains that break in ways a bank never has to think about. At some point it was obvious the book I needed did not exist, so I wrote it. The premise is one idea: generative and agentic AI will rewrite how CPG companies operate and make decisions, and the question is not whether to adopt it. It is whether the organization has the strategy, governance, and leadership to do it without breaking things.

What makes this book important right now?

AI stopped being a pilot. Agentic systems now take actions on their own inside real companies: placing orders, adjusting production, moving money, screening candidates. In consumer goods those actions touch food safety, product claims, and regulatory obligations, where a mistake is not an inconvenience, it is a recall or an enforcement action. Most companies deployed the technology faster than they governed it. The window to put governance in place before something breaks is open right now, and it will not stay open long. That is the timing the book is written for.

What kind of research do you do, and how long do you spend on it?

A lot of it, and it shows in the number of examples. That is one of the strengths of the book. Most chapters carry two kinds side by side: named companies drawn from public reporting and cited, and composite scenarios that show how a governance principle plays out in a plant, a procurement office, or a marketing team. I went looking for consumer goods examples on purpose, because the generic material kept pulling from credit scoring, lending, healthcare, and law enforcement. My rule was simple: every statistic, regulatory citation, and named company had to trace to a real, publicly available source, or it did not go in the book. In a book about governance, the sourcing has to model the discipline it asks for.

What life experiences have shaped your writing most?

The recoveries, and the people. Anyone can stand up a system when everything goes right. You learn how things actually work when you are called in after they have gone wrong: the implementation that stalled, the process that quietly broke, the control no one thought they needed until it failed. Thirty years of that teaches you where the real risk lives, which is rarely where the slide deck says it is. The other half is the people I work with. I still learn something from my co-workers every day, and that habit of listening to the person closest to the work is exactly what good governance requires. Both run through the book.

How did you decide on the title?

The Governed Enterprise names the goal, not the fear. A lot of AI conversations are about what could go wrong. I wanted a title that points at what right looks like: a company running AI across the business with the governance to do it safely and at scale. The subtitle does the rest: An AI Governance Playbook for Consumer Goods. Playbook, because it is meant to be used. Consumer Goods, because that is who it is for, and no one had written it specifically for them.

What do you hope readers take away?

That governance is not the thing that slows AI down. It is the thing that lets you scale it. The dedication says governance is not about saying no, it is about making yes possible, and I mean that as the whole argument. If a reader closes the book and does one thing, I want it to be this: go find out where AI is already running in your company, because it is running in more places than you think, and most of it is ungoverned. You cannot govern what you have not mapped. Start there.

What is next for you?

Right now, the book launch. Beyond that, I am continuing to develop and implement agentic AI applications, primarily integrated with ERP, and to address enterprise AI risk. I am writing an article for a trade publication and considering a speaking engagement on AI governance for consumer goods. The book is finished. The work it describes is not.

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