Start with a free conversation, focused on your priorities and opportunities.
Most clients move through them in order. None requires the next.
Thirty minutes about your goals, your operation, and where AI is already on your mind. Afterward, I send a short written evaluation: where AI can create value in your operation, where it won’t, and what I’d recommend doing first — with a proposal for the work, if it makes sense. Free, confidential, and no commitment.
Training that makes your team genuinely fluent with AI — from a single working session to a multi-week program, built around your actual workflows, not generic demos. Prompting that holds up in real work, guardrails people actually follow, and exercises your team keeps using after the training ends. Often the fastest way to surface where AI belongs in your business.
Every engagement starts with a roadmap: your strongest opportunities, ranked, with honest build, buy, or skip calls. Then the work — quick wins first, then purpose-built systems shipped in sprints that take the friction out of how your business runs today.
Every piece of work is scoped before it starts and staffed to fit: sometimes I build, sometimes I configure what you already own, sometimes I bring in specialists — and I lead it directly throughout.
Changing what the business can do, one earned step at a time: AI built into core systems, end-to-end processes reworked, new offerings where the numbers support them — steered over time, not launched as a single project.
Along the way, the AI has to stay trustworthy. For pilots that stalled and output nobody trusts, that means validation design, testing regimes, and error protocols — the discipline I run in my own production AI system, installed in yours at the right size.
Fractional operating partner. Ongoing senior attention: the full operating loop — sense, analyze, propose, implement, measure — with builder capability included. The AI leadership seat, rented instead of hired, for as long as that’s the right answer.
The Pro Pluribus AI Adoption Framework — AI from workflow improvement to business transformation — maps the territory: four areas of the business, two levels of ambition. Every engagement finds its opportunities on this map, and earns its way upward.
Level 1 pays for itself quickly. Level 2 changes what the business can do. Workflow improvement works the bottom row; transformation and steering take the business to the top one — and the map keeps everyone honest about which is which.
Every engagement starts with your operating problem. If the right fix is a spreadsheet, you’ll get a spreadsheet — and the AI budget goes where AI actually pays.
First fixes land in days or weeks, not quarters. Small problems get small solutions; the discipline is matching the investment to the gap, not to the ambition of the proposal.
AI fails silently, in the shape of good work. So anything AI-powered gets checks between steps, review where the stakes are high, and testing before changes ship — right-sized versions of what I run in my own production system daily.
Everything comes documented for handoff. When I left my own eleven-year operating role, I wrote the runbook covering every system I’d built. Your systems get the same treatment from day one.
Bring whatever you’re working on — a stalled pilot, a role you’re about to post, a process nobody can explain. Straight answers, no pitch deck.
Book a 30-minute conversation Free. Confidential. No commitment required.