Two ways to work with me: the company, or the person at the top of it.
The AI Evolved Organization
Every company is evolving, AI native or not. Accelerating that evolution is an organizational transition, not an IT project. It is also a different job from running technology operations, and few companies are staffed to do both at once. So I meet you where your technology leadership stands today. I can be your CIO's ally. I can carry the transition while your CIO keeps the business running. I can hold the seat if it is empty, and once your company is evolving on its own, help you find and onboard the leader who takes it from there. Either way, the outcome is the same: your AI vision, infrastructure set up, plan built, execution started, usage and benefit tracked, and consistent proof it is working.
Operations and revolution are different jobs
Keeping a company's technology running is a full-time job with no slack in it. Changing how the whole company works is a second full-time job, with a different rhythm, a different risk appetite, and a different skill set. Being excellent at the first doesn't mean you can't do the second, it just means the revolution needs an owner. There are three ways I take that on:
Your CIO is leading the change
I am the ally: the playbook, the extra hands, the outside voice. Your CIO owns the transition.
Your CIO has a business to run
Operations stay with them. I drive the transition alongside them, with their systems and their team as the foundation, and hand it back as it becomes the way the company runs. Some organizations can't evolve from within.
The seat is empty, or about to change
I hold it as an interim while the work starts. Once you know what AI evolved looks like for you, I help you find and onboard your long-term leader, hired against that picture instead of a guess.
Not sure which of these is you? That is a private conversation, and you would be surprised how common it is.
If you are the CIO
I am not here for your job. I am here to make you the leader who delivered your company's AI transition.
You are already running the systems the business depends on, with a team sized for that and no slack for a second full-time mandate. I take the transition load with you: the envisioning, the infrastructure decisions, the first agents in production, the telemetry that proves it is working. And when someone needs to say the hard thing to the CEO or the board, you have an outside voice with thirty years of operating scars to say it with you.
Who it's for
Organizations that are leading, or gaining on the leaders, in their field, or worried that they are trending backwards: big enough to have all the complexity, not big enough to have the time to understand and build AI infrastructure. Technology companies, universities, professional services, and the trades, and the investors who back them. If you're AI-hungry but missing that AI-native DNA to lean on, this was built for you. The engagement works best with a CIO or technology leader as my partner in it, and a CEO who knows the organization has to change and is tired of the hype.
Three phases, weeks not quarters
Kickoff and Envisioning
About four weeks, ramped to how your team absorbs change.
- An honest assessment of where your team and leaders stand on AI
- Envisioning sessions built on real working examples, not slideware
- The first working artifacts, shipped during envisioning itself: a dashboard, a page, a skill
- An incremental improvement plan: quick, sequenced, measurable
- Success metrics and the usage dashboard, live from day one
Execution
Four to eight weeks. Put it to work.
- Infrastructure built out: what you actually need, up and running
- Tool fit, licensing, and vendor decisions made and executed
- Your own agent-building capability stood up, with the first citizen developers active
- Agents in production on real workflows, and the portfolio growing rapidly around them
- Weekly check-ins on status, usage, build-outs, and economics
Transformation
Four to eight weeks. The company becomes self-sufficient.
- Adoption validated on real data: viral usage growth, unprompted sharing, citizen developed agents
- Reporting structure and executive cadence installed
- Builder culture spreads like wildfire
- Scaling, expansion, and rethinking existing processes with the AI mindset
- Optional: the search for your long-term technology leader, hired against what AI evolved now means for you
Working proof, at two speeds
From the first weeks, proof of value arrives as things that run: dashboards, web pages, skills, and simple flows built with what you already have, then agents on real workflows, and eventually full applications. The fast layer creates belief and never waits on process redesign. The deep layer, agents on redesigned workflows, comes with continuous improvement behind it.
Agentifying a bad process just gives you a faster bad process. We ship at pace, fix the flow, and iterate rapidly.
And we start with what you have. The plan begins with today's problems, today's tools, and today's data, written knowing you will outgrow it. As your organization evolves, it starts thinking about its problems and solutions totally differently. The moment you rewrite the plan yourselves is the moment the transformation becomes real.
The engagement model
Fixed-price phases with defined deliverables, not hourly billing. You always know what you're buying, what it costs, and what done looks like. The method is E3, documented in the open: the overview in slides.
It often starts with the AI Forward Executive. The leader goes first, then the company.
See the executive offeringThe AI Forward Executive
Every successful AI transformation has one thing in common: the person at the top is a visible adopter with daily usage. Every one that stalls has a sponsor instead. I do one-on-one work for the CEO or president who wants to be an AI Leader. I take you through the same journey as organizations, Evangelize, Enable, Empower, except I'm fully focused on you.
Who it's for
Senior executives only: the CEO, the president, the person whose calendar and conviction set the pace for everyone else. Today you approve the AI budget, you say the right things at the all-hands and staff meetings, and you fear you could not demo any of it yourself. Or you are tinkering a little, and you want to go faster with someone who has done this at scale. Either way, you have figured out that your people will be able to tell the difference between a leader who sponsors AI and a leader who uses it.
Your company will go as far as you do
Adoption follows attention. Teams adopt what they watch their leader actually do, not what the strategy memo says. When a CEO opens the staff meeting with the agent they built over the weekend, permission spreads through the company faster than any training program. When a CEO hands AI to a committee, everyone reads that signal too.
Don't lead this one from the owner's box, get on the field.
Three phases, one person
Conviction
Less than a month.
- An honest, private read on where you stand today: no audience, no judgment
- One life, one calendar: the inbox, the reading pile, travel, the household, the Sunday-morning calls. We start wherever the friction is, and the first wins land before anyone is watching
- Working examples built together on your real problems, not a curriculum
- Your first artifacts in week one: a briefing you actually use, a skill that does a chore you suffer through
- The point: you stop believing in AI because you were told to, and start believing because you watched it work on you
Capability
Four to six weeks.
- Your personal stack set up properly: the tools, the accounts, and the guardrails for what data goes where
- You build, I coach: your own agents and workflows for the work only you do. Board prep, the operating review, the decisions that land on your desk
- The habits that matter: how to delegate to an agent, how to check its work, when not to trust it
- A working feel for cost, risk, and quality, so you can smell a bad AI pitch from a vendor or from your own team
- Weekly working sessions and progress checks, and me a message away when you get stuck in between
Leading from the front
Four to six weeks.
- Your team has already felt the transition happening in you, now everyone feels the pressure to keep up
- You show your work: your first demo to your own leadership team, built by you
- Better questions: what to expect from your CIO, your vendors, and your budget, from someone who now knows what good looks like
- The visible rituals that give your people permission: what you share, what you celebrate, what you stop tolerating
- Your point of view on what AI evolved means for your company, in your own words, earned rather than borrowed
- The handoff: you are the AI Forward Executive - this is either the end, or the front edge of the full organizational engagement
Working proof, personal edition
Same rule as every engagement: the deliverables are usage and capability, not documents and plans. You have things that run, and you built them: an agent that preps your week, a dashboard you check every morning, the app you made for something at home because you can't help yourself - you see the world in how to simplify and accelerate everything. I have helped senior leaders go from skeptic to builder in weeks. It never happens through slides or podcasts or meetings. It happens when something you made yourself saves you an hour, then an hour a week, then hours per day.
What this is not
Not a course, not a keynote, and not generic executive coaching with AI vocabulary sprinkled on top. There is no set curriculum, because your problems are not anyone else's. We work on your real week, with your real tools, at your pace.
You get me
This is a specialized offering. No associate shows up after the contract is signed. Every session, every build, and every hard conversation is with me, and that is the point. You are getting more than AI coaching. You are getting three decades of operating experience: a startup that grew from six people to fifty and shrank back to fifteen, the leader from the team that built Office 365, a global organization built from a concept, and a commerce transition that touched roughly 40,000 enterprise customers. When the AI work surfaces a harder question about your org, your operating rhythm, or how to carry people through a transition, you are talking to someone who has carried that weight, not someone who read about it.
The engagement model
One-on-one, confidential, and intentionally scarce. I only take a few executives into this program. In person when needed and to get things rolling. Remote when it is more effective for you. When the arc ends, some executives keep me on retainer as a standing sounding board.
The leader goes first, then the company. This stands alone, or it becomes the front edge of the AI Evolved Organization engagement.
See the organization offering