No engagement starts with a contract. It starts with a conversation, earns its way to a written plan, and only then becomes work — delivered in pieces small enough to judge as they land.
Four stages. You see the plan in writing before you commit to anything, and every stage has to earn the next.
A thirty-minute conversation, then a structured opportunity assessment — your goals, workflows, current technology, and operating friction. Where you stand, and what your leadership actually wants.
A written roadmap identifying and ranking your strongest opportunities — recommended approaches, expected outcomes, timing, and next steps, with honest build, buy, or skip calls. The roadmap is yours whether or not we work together.
The engagement starts with the highest-value, lowest-drama items — quick wins that build your team’s confidence and prove the approach before anything ambitious is attempted.
Purpose-built systems shipped in sprints of days to weeks — built, integrated, measured, documented. What works gets scaled across the operation; what doesn’t gets said out loud.
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. Most clients start low and climb — 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.
Most clients move through them in order. None requires the next.
Thirty minutes, then a structured look at your operation — ending in the written roadmap. Free, confidential, and yours whether or not we go further.
Half-day working sessions that make your team genuinely fluent with AI — built around your actual workflows, not generic demos. Prompting that holds up in real work, guardrails people actually follow, and a capstone exercise your team keeps using after the session ends. Often the fastest way to surface where AI belongs in your business.
The plan, delivered: interviews with the people who feel the friction, precise costing, and purpose-built systems shipped in sprints. Sometimes I build; sometimes I configure what you own; sometimes I bring in a specialist.
For stalled pilots and output nobody trusts: judgment-boundary mapping, validation design, testing regimes, and error protocols. This is the discipline I run in my own production AI system — installed in yours, at the right size.
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.
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.