The Trust Architecture says what has to be true: the work reallocated across software, models and people, validation engineered rather than stacked, and the people who performed the work becoming the people who stand behind it. Doing that inside an operation that cannot stop running is the practice. Three ways in: with one workflow, with the seat, or with your leaders.
We start with one real workflow: how the cognitive work is allocated today, what the control model assumes, and which of those assumptions AI has already invalidated. That produces a map and a sequence, not a slide deck.
From there, the work is designing how AI actually runs in your operation: what gets built, how it is validated, who signs, and how the people who did the work become the people who stand behind it. This one has a beginning, a middle, and an end. The better version of the end is your own transformation group running the method without me.
The right first move when there is a concrete operation to fix, or when the leadership team already has firsthand command of the tools.
How it worksMany firms are too small to justify the role and too exposed to go without it. The work does not scale down to a hire. It scales down to a seat: a named owner, a written policy that fits the operation, the tool and vendor decisions, the validation structure, and a quarterly read in writing.
Sized to the need and standing: more than a monthly check in, less than a hire, and enough presence to be in the room when decisions are made rather than told about them afterward. You are buying deliverables and accountability rather than availability, and everything built is yours.
Some firms keep the seat. Others use it as a bridge, and if the answer turns out to be a full time Head of AI, part of my job is making that case and helping you hire the person.
The right first move where AI has become a board-level question and no one’s job description contains the answer. Elsewhere this role is called a fractional Head of AI.
How it worksWorking sessions, not briefings. We map where your time goes, then build on your real work, on your screen, and you use what we build the same day. After a few sessions you can build the next one without me.
Individually, for one executive or several. Or with a whole team at once, inside an offsite or as a standing engagement, including your internal transformation group, so the capability stays in the company.
The usual first move when adoption is stalling, because teams take their cue from what their leaders visibly do.
How it worksThe method is the same whichever door you come through. First we map where the judgment actually lives: which work truly requires a person, which is machine-shaped and still done by hand. Then we build, together, on real work rather than examples, so what gets built is owned outright and runs without me. Then we make it stick, which for a leader means working visibly in the new way, and for a firm means the people who spent careers performing the work becoming the people who stand behind it.
These are three doors into the same problem. Maybe your transformation group is busy and not producing results. Maybe nobody owns AI at the firm at all. Maybe your leaders are not fluent enough to sponsor the change. Those look like three problems and they are one, which is the distance between what AI can do and what your organization will let it do. Which door you come through matters less than coming through one, and the engagements that work usually use more than one. All of it is ongoing by design, monthly rather than hourly, and ongoing is not the same as permanent. Everything we build is yours and runs without me. Early results come fast. The change that counts takes quarters, and I will say so.
The first conversation is thirty minutes and free. Bring one workflow, one frustration, or one thing your organization is arguing about. You will leave with an honest read on whether there is anything worth doing.
Or find me on LinkedIn.