Four phases, one standard window. Nothing speculative — only what ships. Here’s exactly what happens, what you get, and how much of your time it takes.
We map your workflows, score them by leverage and feasibility, and pick the agents that pay back fastest. Nothing speculative — only what ships.
Two weeks inside your operation: interviews with the people doing the work, a walk through your tools and data, and a hard look at where the hours actually go. Out of every candidate workflow, most won’t make the cut — and that’s the point. We only build where the math works.
Roughly 4–6 hours across the two weeks: a kickoff, a handful of 30-minute interviews with your team, and a readout where we present the scores.
A working agent in a sandbox connected to your real data. You see it run end-to-end before we touch production. No theatre, no slideware.
The prototype runs against real inputs from your business — real leads, real tickets, real documents — inside a sandbox that can’t touch production. You and your team review actual outputs and mark what’s right and wrong. Those judgments become the eval suite that gates everything that follows.
About 2–3 hours per week: short review sessions where your team grades outputs. The more honest the grading, the better the agent.
Production rollout with evals, observability, and human-in-the-loop where it matters. Agents log every action; you see what they do and why.
Rollout is gradual by design: the agent starts on low-risk slices of the workflow with a human approving every output, and earns autonomy as the eval scores hold. Every action is logged and traceable. By the end of this phase the agent is live in your tools, on schedule, with a dashboard your team checks instead of a black box they worry about.
Tapering from a few hours a week to under one: early on your team approves outputs; by week ten they’re spot-checking a dashboard.
We run the system or hand off to your team. Either way, agents keep improving — better prompts, better data, better outcomes month over month.
Agents aren’t fire-and-forget. Models improve, your business changes, and every month of logged output is training signal for the next iteration. Most clients keep us on to operate and extend the system; others take the runbook and run it themselves. Both paths are first-class — the system is built to be owned.
Under an hour a month if we operate: a monthly readout with numbers, changes, and the next recommendation.
Four rules that apply to every engagement, in every phase. They’re why the 90-day window holds.
No agent touches your live systems until it has proven itself on real data in an isolated environment — and passed the eval suite your own team defined.
Every milestone is demonstrated with the working system, not a deck about the working system. If we can’t show it running, it doesn’t count as done.
Approval gates go exactly where a mistake would be expensive — and nowhere else. Autonomy is earned through eval scores, not assumed.
Every action an agent takes is traceable: what it did, why, what it cost. You’re never supervising a black box.
Book a 30-minute working session. Bring one workflow. We’ll tell you whether an agent can do it, what it would cost, and how fast we can ship.