How I work

Whatever the friction, the path is the same.

Most people know AI could help and don't know where to point it. Picking that is the first thing we do together. Then we build it, and your team learns to run it.

  1. 1

    Map what's really happening

    We start with where the dread, delay and difficulty are. Most teams have normalized theirs, so it stops looking like a problem and starts looking like the job. Most AI work fails right here, aimed at something that was never the problem. Your systems, your workarounds, and the steps nobody wrote down. You don't take a course. You do your job while it gets mapped.

    You walk away with A map of how your work actually runs, and where it breaks.

  2. 2

    Define what good looks like

    If you don't know what good can look like, you can't reverse engineer good. Right is subjective to your company and your team, so what good means here is yours, not an industry default. That's what makes this hard, and it's the step the last vendor skipped.

    You walk away with A written picture of where you're headed, and what comes first.

  3. 3

    Build it

    Foundation first, then the automation. One change at a time, a plan before and a check after, built inside the work you already do. Where we can, we fix one real thing early, with you watching.

    You walk away with Fixes and tools that work in your systems, not a slide deck about them.

  4. 4

    Hand it back

    See one, do one, teach one. Your mapped systems become projects your AI can work inside, so your team can fix and improve things on their own.

    You walk away with Everything we built, and a team that knows how to run it.

Who carries what

I take figuring out where to begin off your plate. Then I hand it back.

Off your plate, at first

  • Where to begin
  • The order things happen in
  • What good looks like
  • Which approach and which tool
  • Whether it's even the right problem
  • The blank page

Stays with you, by design

  • What you know about your work, because only you have it
  • The decisions that are yours
  • Protected time for the person who'll run it
  • Access to your systems
  • And eventually the how itself. That's the point.
Ways to work together

Start with a project. Keep me on demand.

A project · Weeks, not months

The four steps, start to finish.

We map, define good, build the first things and hand them back. You end with your systems mapped and your team running them.

On demand · After the handoff

More hands when you want them.

Bring me back in to keep fixing and optimizing your mapped systems. It's a capacity transfer, not a dependency.

Coaching · For people and teams

Learn to do what I do.

For individuals or teams who want to build it themselves. Workshops and talks too.

See speaking and workshops
Honest about fit

Is this the right room?

A fit

  • You're the person tasked with getting the system right, whether or not that was ever your job.
  • You know AI can help. You don't have the hours to learn it.
  • You can name what you dread, what's delayed or what's difficult.
  • You want to own it when we're done.

Probably not

  • You need to be sold on AI first.
  • You want someone to run it for you forever.
  • You want AI to score or decide about people. That line holds.
Questions

Questions about working together.

Do I need to know AI already?

No. You need to know your work. The learning happens inside the work, on your real tasks, so nothing gets added to your week.

How is this different from hiring an AI agency or consultant?

An agency builds it and keeps you coming back. I help you pick the right thing to point AI at, build it inside the systems you already use, and hand it back with your team able to run it. I'm not tied to any vendor, so the recommendation is about your friction, not a product.

Who is this a good fit for?

The person tasked with getting things right, whether or not that was ever their job. You know AI could help, you don't have the hours to learn it, and you can name what you dread, what's delayed or what's difficult. It's not a fit if you want AI to score or decide about people.

Do you run talks and workshops for teams?

Yes. Talks are built the same way projects are: understand the problem the room is living with, work out what good could look like, then build to an aha they can use on Monday. Hands-on workshops have everyone build their own voice document and a first agent in the room.

Choose to begin

A few weeks from now, this could be handled.

This work is fast. It starts with a 30-minute call. Set future you and your future team up for success.

Book a 30-min intro