The Perspectives Mandate
Why I'm publishing what I think — quickly, often, and in my own voice — instead of letting the conversation about AI in enterprise consulting be shaped entirely by people who don't sell the work.
There's no shortage of takes on AI in the enterprise. There's a near-total shortage of takes from the people who actually run the relationships where this work lands.
I sit in the seat where the decision happens. I write the proposals, I run the QBRs, I take the angry call when the model hallucinated something a bank's compliance team caught. The people writing most of the public commentary about AI consulting are either selling research reports, building tools, or running pilots that never make it past a steering committee. That's a different job from mine.
This page is where I write down what I'm actually seeing. Not what's trending on LinkedIn. Not what the analyst decks say. What deals are closing, what budget conversations look like in May 2026 versus what they looked like in September, what mid-market CFOs are willing to greenlight without a board fight, and what they keep cutting from scope at the eleventh hour.
What you'll find here
Three categories, roughly:
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Field reports. Things I'm seeing across active engagements at Stride. Patterns repeating across clients in financial services, healthcare, publishing, and private equity. The kind of observations that don't show up in a McKinsey paper for another twelve months.
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Sourced commentary. When something newsworthy hits — a new model release, a regulatory shift, a major enterprise AI rollout that goes sideways — I'll pull the relevant sources, read past the headline, and write what I think it means for the people I work with.
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Things I've changed my mind about. Probably the most useful category. I've been wrong about plenty in this space and I'd rather say so on a fixed URL than quietly pivot.
Why now
Two reasons.
The cost of writing has collapsed. I can take fifteen minutes between calls, dictate my actual thinking on a topic, and ship a piece that would have taken a content team a full afternoon two years ago. The marginal cost of publishing one more perspective is now small enough that the only real question is whether what I have to say is worth reading.
And the cost of not writing has gone up. Everybody is being told something about AI by somebody. If I want clients and prospects and peers to hear my read on this, I have to put it somewhere they can find it. Email lists die. LinkedIn posts get buried in a week. A page with a clean URL and a real archive is the only durable form factor.
The bar
I'm not trying to be the most prolific writer on enterprise AI. I'm trying to be the most honest one in my zip code of the work. If I have nothing to say on a given week, you won't hear from me. If something is genuinely worth a thousand words, it gets a thousand words. If it's worth two paragraphs, it gets two paragraphs. The length serves the idea, not the other way around.
If you've made it this far, the rest of these will be shorter and more specific. Subscribe, bookmark, or just check back. Whatever fits how you read.