A few people on your team are great with AI. I get the whole team there.
Right now most of your team is stuck, and it is hard to tell what is actually good. I work next to your team while they build real things with AI, the kind you ship, not just demos. By the time I leave, they can do it on their own.
20 years building products. I led product at Indeed and built the AI system behind more than $500 million in sales. I have shipped real AI products, not just talked about them.
The problem is not the tools. It is that the work never makes it past a demo.
A few people get it. Most of the team is stuck, and the good work never spreads.
The demo looks great in the meeting. Then it never ships.
No one can say what good looks like. So no one knows what to trust, or what to fix.
Here is what good looks like. Find where your team is.
This is the ladder I use to read a team. Five levels, from a few people poking at AI to a whole team that ships with it and keeps getting better. Once you can see the rungs, you know where you stand and what to fix first.
Level 1 · Curious
A few people poke at AI on their own. Nothing is shared, and you cannot count on it.
Level 2 · Experimenting
More people use it, but everyone does it their own way. The results depend on who happened to do the work.
Level 3 · Standardizing
The team starts working the same way. The good stuff spreads, instead of living with your best person.
Level 4 · Reliable
The work gets checked and trusted. Quality no longer depends on who did it or whether they were careful that day.
Level 5 · Self-improving
The team keeps getting better on its own. Good habits spread without anyone pushing, and the work compounds.
Most teams sit at level 1 or 2, with a few people ahead of everyone else. The whole job is moving the whole team up.
I do not run a class and leave. I build your team's ability to do this, on real work.
Most training hands your team a slide deck and a good feeling, and nothing changes on Monday. I do the opposite. I get in with your team on real work, not a practice exercise, and I show them what good looks like as they build it. They get better by doing the real thing, with me right there.
You are not paying for my hours. You are paying for a team that can do this without me. When I leave, your team keeps the tool they built, the know-how, and a simple way of working that holds up.
“I am not a class you sit through, and I am not a contractor you rent. I build your team's ability to do this, on real work, and it stays with them.”
Start small. Prove it works. Then keep it going.
Most teams start with a quick check. It tells you what to do first, and the cost counts toward the bigger work.
AI-Readiness Assessment
I look at how your team uses AI today. I tell you what is working, what is not, and the first thing to fix. You get a clear plan in two weeks.
See what the check covers →AI Build Sprint
I work with your team and we build a real AI tool and ship it. Your team keeps the tool, the know-how, and a simple way of working they can repeat.
Ongoing AI Support
Once a month I tell you what changed in AI and what to do about it. Your team can reach me when they get stuck, and we check your plan every few months.
The AI-Native Leader
The Build Sprint gets your team there. This one is for you, the leader: one-on-one, I coach you to lead the change yourself. Company-paid, $18,000.
What you actually get.
You learn what good looks like
Most teams cannot tell a real win from a demo that just looks good. I have built this stuff, so I show your team the bar and how to hit it.
Your team can do it without me
I do not do the work for you. I teach your team while we build, so the skill stays after I leave.
I have nothing to sell you
I do not push a tool or a platform. I help you do what is right for your team, and I am the person they call when they get stuck.
Something you can take to your boss
An outside, honest read carries weight that a free quiz never will. It is the proof that makes the spend easy to defend.
I am in this work with real teams right now.
I am working with product teams at a software company and an AI company, helping them get good at building with AI, the whole team, not just one or two people. The hard part is never the tools. It is helping everyone get good, and knowing when the work is actually good.
I have spent 20 years in product, I have hired and promoted a lot of people, and I build with these tools every day. That mix is what this work needs, and it is rare.
Find out where your team really stands.
Start with a short call. We talk about your team, where it is stuck, and what the first step would be. No pitch.
A 30-minute call. No commitment.