Install AI in your company,without hiring an internal team.

With a small group, not your whole company. We run 1:1 workshops with your AI champion and the key leaders on the team, because they need a clear picture of what an AI agent actually is before anyone rolls it out. This also helps you assess whether we're a good fit for your company in a fast, low-risk way.

You fill out a short intake form. On the call we pick one real task you do every week and teach Claude how to do it via a skill. A week later we meet again to see what stuck and map what to build next. You leave with the skill, and more importantly the framework to keep applying it yourself.

Team workshops are built for one function at a time. Everyone submits an intake form about where their week actually goes, and we build the examples around what that team does.

It runs in 2 parts. First we cover a 4-step framework for handing work to an agent, with examples grounded in your team's real work. Then we flip it in a follow-up office hour, where people bring their own use cases and we help them set them up.

Most people see results immediately. For 1:1 workshops, people walk out with a working skill for a task they actually do, and most get 5 to 10 hours a week back once they put it to use. Team workshops land the same way. People leave with use cases for their own work and start applying them that week.

Every engagement is scoped to what you need. Most clients start with 1:1 workshops for a small group of leaders and champions, usually under $6,000, before any bigger commitment. That way you see the payoff on real work first.

Book an intro call and we'll map the right starting point.

Usually yes, but not for the reason you'd think. In most companies, not everyone is a power user, and the gap between them and everyone else keeps increasing. We activate those falling behind so your power users can focus on what they do best.

You need less than you think. Every session is personalized to the work your people already do, so we get the most impact out of the least training time. The time investment from team members is about 2 hours total. After that they apply it inside the work they were already doing, so it never turns into another thing on their plate.

Most rollouts fail the same way. Buy everyone a seat, run one big training, and hope. However, one big generic training almost never changes behavior. We tailor every session to a person or a specific team, so it's built on the work that function actually does. Additionally, we teach generalizable skills, the ones that still hold up after the next model or tool comes out.

No one else sees your chats, and your skills stay private unless you share them. Data you connect stays in your account. We walk you through turning off model training, and we scope access to the folders you pick instead of your whole machine.

Usually yes, with clear rules about what goes in and what doesn't. The right answer depends on your industry and your policies. Bring it to an intro call and we'll walk through your situation.

Treat it like an intern. You asked for the work, so you can judge it, and you know your business better than it does. One habit we teach is asking Claude how it knows and making it show its work when you're unsure.

Claude and ChatGPT are in a class of their own right now, and Claude is the clear favorite for business leaders. What matters most is that you have a company-sanctioned tool so you have a central place to manage it.

We set targets up front and track them. We start with adoption metrics, which are easy to measure and understand. As adoption stops being the bottleneck, we move to more sophisticated metrics like time saved and quality of output.

The agent tools change fast, the skills for using them don't. We teach how to think about agents and how they fit into your business (think of them as new team members you onboard and train). Consequently, the results we deliver are focused on upskilling your team and building business operating systems that are compatible with AI agents (today and tomorrow).

That's not what we see. There's always more work that needs to be done than people to do it, so when everything else speeds up, the oversight and judgment that people provide become the bottleneck. So either companies end up doing more with the team they have or hire more people to keep up with expansion.