Week by week
Pick the workflow — and prove it's worth it
We map your recurring work, pick the one job with the clearest payoff, and write down what "working" means in numbers you choose. If nothing clears the bar, we say so and we stop — the deposit is refunded. A build that shouldn't happen is a failure we don't sell.
Your specialist builds
A dedicated implementation specialist — named at kickoff — delivers the build in plain-English sessions with you: what the agent sees, what it drafts, what it's forbidden to do. You make the judgment calls; the specialist does the engineering; the practice reviews every deliverable.
Wire in the guardrails, run it live
The human-approval step goes in — nothing sends, posts, or spends without your sign-off — and the agent runs on real work while we watch it together and tune what comes back.
The handover
You get the handover set: the agent and its prompts, every credential in accounts you own, plain-English documentation your next hire could follow, and a recorded maintenance walkthrough. Then we measure against week 1's definition of working — honestly.
What owners typically build first
The order we coach, based on our own builds and on which agents earn trust fastest: a lead follow-up agent (never miss an after-hours inquiry again), a reporting agent (the Monday numbers assembled before you sit down), a quoting assistant (drafts from your price rules, you approve), or a filing/admin agent (inbox and documents triaged to rules you set). The assessment usually identifies yours before we talk.
What this is not
Not a strategy deck. Not a platform subscription. Not "AI transformation." One working agent, built properly, owned by you — because the owners who succeed with AI all start the same way: one system that works, then the next. The workshop is what compounding from that first win looks like.
Honest limits
Some workflows aren't ready for agents — the data's not accessible, the tools have no way in, or the risk profile is wrong. Finding that out in week 1 for $0 extra is part of the value. And every agent we build assumes a human stays at the gate: if you want unsupervised automation of customer contact or spending, we're the wrong coach.