Bring me the questions you’re already asking: Where do we start? What should we buy? What should we build? Do we need to hire for this? I’m a longtime operating executive and systems builder; AI expanded what I can build. I turn those questions into a ranked plan and working solutions.
The practical wins usually come first: automate the work between the judgments, and be deliberate about which judgments you hand over.
AI should start with the business, not the technology: where work gets stuck, where hours vanish without creating value, where better information would change a decision, where it might even change what you sell. Most companies start with the impressive demo instead.
I’ve built systems both ways: around a person running the process, and around AI running it. Knowing the difference is most of the job.
Companies come to AI from different places. None of them is the wrong place to begin.
You know AI should be doing something for you. You’re not sure what.
That’s the right instinct, and the wrong place to buy tools. Start with a conversation, then a free preliminary assessment showing where AI can create real value in your business, and where it won’t.
Start the conversation →People are trying things, and none of it adds up.
A pilot that impressed in the demo and died in the workflow, or a dozen private experiments nobody can see: output no one quite trusts, licenses no one quite uses. Scattered effort is a system-design problem, not a model problem, and it’s fixable. I run the checks and guardrails in my own production AI system every day.
Get it unstuck →Before you commit a six-figure salary to a role you can’t yet scope. Rent the executive.
I define the role, deliver the first wins, and write the job description your eventual hire actually needs. If it turns out you don’t need the hire, that’s cheaper to learn in month two than year two.
Talk before you post the req →| Product & ServiceDesign, build, and deliver what you sell | Go-to-MarketReach, engage, and convert customers | OperationsRun the business, day to day | FinancePlan, measure, and fund the business | |
|---|---|---|---|---|
| Level 3SystemsChange what the business does, or how it operates. | AI-enabled products and services | Redesign the customer experience | Rework end-to-end processes | Forward-looking planning and forecasting |
| Level 2TasksImprove how the business works today. | Speed up content and design work | Automate campaign and follow-up work | Automate repetitive tasks and handoffs | Automate reconciliation and close |
| Level 1InformationSee the market and the business clearly, before anything changes. | Customer feedback, synthesized | Market and prospect intelligence desks | Operating visibility in one place | Reporting that arrives in time to matter |
| Start hereLearning | Make your team smarter about AI, in their own workflows rather than in generic demos, from short working sessions to full programs. It is the easiest place to begin, it fits almost every business, and it surfaces where AI actually belongs in yours. | |||
Most companies start with their people, then a workflow or two, then the connections between them. You decide how far it goes; whatever the scope, the standard is the same, and the test is whether it is still working in six months. Part of my job is telling you which problems aren’t worth solving. Take a single cell, take a row, or take the whole map. See the full framework →
I’ve been building business systems since long before anyone called them AI.
A lean team running well beyond its size, on workflows built around how it actually operates.
A founder-led craft whiskey producer with data sprawled across systems, workflows held together by effort, and SaaS that fit 80% of the need.
Eleven years as COO/CFO, building the operating systems along the way: CRM, inventory, shipping, cash, daily reporting. Each at the smallest tool that solved the problem, and several paid subscriptions retired along the way.
A live AI platform with paying subscribers, making local government legible to the citizens it serves.
Government meetings are public but practically opaque: hours of video, dense agendas, votes nobody tracks.
Built an AI system that turns the raw record into published analysis and scoring, with the checks and testing that make its output trustworthy enough to sell. 100+ meetings across two governments so far, run by one operator.
Also on the record: CFO of a Denver entrepreneurship ecosystem · President of the Denver chapter of Keiretsu Forum, the world’s largest angel investor network · mentor and advisor to early-stage companies, from organic wine (Wander + Ivy) to enterprise analytics (PieAX).
A WSI Certified AI Consultancy. Specialist suppliers, purpose-built tools, and delivery capacity behind every engagement. I bring in what the work needs and stay hands-on throughout.
No pressure and no pitch deck, a practical conversation about where you stand and what’s worth doing. Everything after it is earned, one step at a time, and you’ll get a written assessment before you’re asked to commit to anything.
Whatever you’re working on: a stalled pilot, a role you’re about to post, a process nobody can explain, a subscription you resent paying for. Straight answers, no homework.
Thirty minutes on your operations, your AI direction, and whether Pro Pluribus can help you. Free and confidential.
An hour with you and anyone else who should be in the room, on strategy, people, and process. Free.
I walk you through it: where AI can create value, where it won’t, what I’d do first, and what the work would cover.
A full roadmap with your strongest opportunities ranked and honest build, buy, or skip calls, then build, integrate, optimize, and scale.
Not ready to talk? Send me an email at [email protected], or see the market I track in the AI Market Atlas →