We start from your process, not the tool.
We don't begin with AI. We begin with how your work actually gets done, then build the smallest system that makes it better.
First we map how you actually work.
We map your real operations: what happens, who does it, where the time and the judgment live.
That map is where we find the workflows worth systematizing, and in what order.
One team. No new hires.
Five roles make this work. You already hold half of them. We bring the other half, plus the governance the studio adds on top.
AI Visionary
That's you. You set the why, the priorities, and the budget, and you stay out of the build.
Subject matter experts
You and the people who hold the real craft, the tacit know-how that defines what “good” looks like in your voice.
End users
The people who touch the system every day. If they don't reach for it, nothing else matters.
AI Operator
Runs the CRAFT cycle. Sits with you and your experts, scopes and writes the playbooks, and stays until the team actually uses them. (Nina leads this.)
AI Implementer
Builds and connects the actual automation, working from the Operator's playbook so nothing gets lost in translation.
Governance
Keeps it safe: data protection, responsible-use guardrails, and a person in the loop where it matters.
The five core roles come from the AMP program (formerly The AI Exchange); Governance is the discipline the studio adds. You plus us, one team, no new hires.
One workflow per two-week sprint.
Each CRAFT cycle runs over a two-week sprint and moves ONE workflow through all five stages, from map to rollout.
Clear Picture
We sit with you and interview you about how you actually work: your method, the exact words you use with clients, the tasks eating your time, what “good” looks like. Out of it comes a clear picture of the workflow and a draft of its AI configuration.
Realistic Design
We check what's actually feasible before building. Which parts are worth automating, which genuinely need you, where the system hands work back to a person. High-value and simple goes first. You sign off before anything gets built.
AI-ify
We build it. The configuration is finalized, the task instructions written and tested, the playbooks and skills wired together. Tested against real scenarios, not demos.
Feedback
You use it on real work. Feedback is triaged into major and minor; minor fixed immediately, major scoped into the next round. This is the stage most people skip, and the one that makes the difference.
Team Rollout
We walk through every trigger and output with you, hand over a step-by-step guide and a walkthrough video, and run a training call where the team runs it themselves. You could hand it to a new hire and they'd know how to operate it.
How we start, and what it costs.
No big opaque number. You add sprints as the value proves out.
A short intake is sent before the call, so it starts with context about your operations.
The paid extraction and scoping, the Clear Picture across your business: we map your operations, find the workflows worth building, and produce your sprint plan and quote.
Two-week sprints, one workflow per sprint, taken from map to rollout. Most engagements are 3 to 5 sprints. You add sprints as the value proves out; you're never locked into a big opaque number.