01
We're operators.
We've shipped this in our own company before we'd ever ship it in yours. Everything we recommend, we've lived through.
00 — About
01 — Origin
Clarified Consulting started the way the best consulting businesses always start: by accident.
We were running Tumble — a real, operating business, with real customers and a real P&L. We were also using AI to run it. Not the way the headlines describe AI, but the way it actually works in practice: agents in production, integrated into the systems the team already used, doing the work that used to be done by hand.
We shipped roughly a dozen of those agents — for retention, dispatch, marketplace balancing, support routing, SEO research, even a vision model that reads laundromat price boards from photos. None of them were demos. They run today.
Other operators saw what we'd built and asked how. Some asked if we'd help them do the same thing in their business. Eventually enough people had asked that we wrote down our approach, gave it a name, and started taking the work seriously.
Clarified is the answer to that question — written down, and then built.
02 — The founder
Founder · Clarified Consulting
Scott led AI implementations at Fortune 100 companies through Accenture — the kind of large, complex enterprise programs where you learn what AI delivery actually looks like at scale, including all the parts nobody writes about in blog posts.
He left to become an operator. He founded Tumble, and he and his team shipped the dozen agents above — not as a research project, but because the business needed them. He has been on both sides of the table: the consultant selling the engagement, and the operator with payroll on the line when the engagement was wrong.
Clarified is the firm he wished existed when he was on the operator side — one that had actually run a business before it gave anyone advice about how to run theirs.
03 — Philosophy
After Bob Chapman · Barry-Wehmiller
We approach AI implementation through the lens that Bob Chapman brought to manufacturing at Barry-Wehmiller: a business should be measured by the way it touches the lives of the people in it.
That isn't a marketing line. It's the actual reason we do this work the way we do — and it shapes every recommendation we make.
AI, done well, makes the people in a business more capable, more valued, and freer to do the work that actually matters. Done badly, it makes them feel surveilled, replaced, or irrelevant. The technical decisions are usually the same in both cases. The intent is what's different.
We will never sell you on AI as a way to shrink your team. We will help you use it to take busywork off your team's plate so they can do the work they signed up for — and to grow the business in ways that need more people, not fewer.
This is the philosophy we lived at Tumble. It's the philosophy we bring to your business when we work with you. And it's the reason we'll sometimes tell you not to build something at all.
04 — How we think
01
We've shipped this in our own company before we'd ever ship it in yours. Everything we recommend, we've lived through.
02
Everything we build is yours to operate after we leave. Documented, integrated with your stack, simple enough that your team can extend it.
03
AI is interesting. That isn't a reason to ship it. We start every engagement with a clear answer to the question of why this thing exists.
04
What we found, what we recommended, what we built, why. You walk away with a written record — not just a relationship and a memory.
05
Never the other way around. The systems we build are designed from day one for the people who'll operate them.
05 — Where we are
Most of the work happens remote. We travel for the engagements that need it. The first conversation is over a video call — free, thirty minutes, no slides — and it's how we figure out whether we're a fit for each other.
Get in touch
The first call is always free. Scott personally replies within one business day. No slides, no pitch — just a conversation about what you're trying to figure out.