From audit to autonomous in 90 days.
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.
Discover & score
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.
- a.Workflow mapA documented picture of how work actually moves through your team — not the org-chart version, the real one.
- b.Scored opportunity listEvery candidate workflow ranked by ROI, feasibility, and risk.
- c.The pickThe one or two agents we recommend building first, with the business case for each.
- d.Fixed scope & priceYou know exactly what phase two costs and delivers before you commit to it.
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.
Prototype & prove
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.
- a.A working sandbox agentConnected to a copy of your real data, running the full workflow end-to-end.
- b.Output review sessionsStructured walkthroughs where your team grades real outputs, not demos.
- c.Eval suite v1Your team’s quality bar, encoded as automated tests the agent must pass.
- d.Go / no-go evidenceReal numbers on accuracy, speed, and cost — so the production decision is made on data.
About 2–3 hours per week: short review sessions where your team grades outputs. The more honest the grading, the better the agent.
Deploy & instrument
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.
- a.Production deploymentThe agent live in your stack, delivering outputs into the tools your team already uses.
- b.Human-in-the-loop gatesApproval checkpoints exactly where the risk justifies them — and nowhere else.
- c.Observability dashboardWhat ran, what it produced, what it cost — visible to your team at all times.
- d.Runbook & trainingYour team knows how to supervise, override, and tune the system.
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.
Operate & compound
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.
- a.Monthly improvement cyclesPrompts, retrieval, and routing tuned against live eval scores.
- b.Expansion roadmapThe next workflows worth automating, scored the same way as the first.
- c.Model upgrades handledWhen better models ship, we test and migrate without breaking your quality bar.
- d.Clean handoff optionFull documentation and training if your team wants the keys.
Under an hour a month if we operate: a monthly readout with numbers, changes, and the next recommendation.
How we keep ourselves honest.
Four rules that apply to every engagement, in every phase. They’re why the 90-day window holds.
Sandbox before production
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.
No theatre, no slideware
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.
Humans where risk lives
Approval gates go exactly where a mistake would be expensive — and nowhere else. Autonomy is earned through eval scores, not assumed.
Everything is logged
Every action an agent takes is traceable: what it did, why, what it cost. You’re never supervising a black box.
Ninety days.
One live agent.
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.