Inside our 7-day deployment, hour by hour.
Most agencies need 6 months to ship AI. We do it in 7 days, guaranteed. Here's what happens between Day 1 and Day 7, and why the speed isn't a stunt — it's the only way it works.
Most agencies need 6 months to ship AI. We do it in 7 days, guaranteed. Here's what happens between Day 1 and Day 7, and why the speed isn't a stunt — it's the only way it works.
Every prospect asks the same question: how is 7 days even possible? Here's the honest answer. We can do it because we've done it 50+ times. The playbook is fixed. The variables are your tools and your workflows. Everything else is the same Tuesday after Tuesday.
You filled the form. We read it. By 10am Monday, you're on a 45-minute call with one of our deployment leads.
The call has three parts:
By Monday evening you have a written deployment plan in your inbox. Three workflows, exact triggers, exact outputs, exact SLAs.
We order your Mac Mini Tuesday morning, configured to spec, shipped to our build lab in Brisbane. While the hardware travels, we start building.
By Tuesday afternoon, we've stood up your isolated build environment, generated the API credentials needed, and drafted the first workflow. You don't see any of this. It's plumbing.
The first workflow goes from spec to functional prototype in one day. For most clients, this is the highest-volume workflow in the spec, the email triage or the lead intake.
We test it against 50 real samples from your inbox or CRM (anonymized, with your permission). We measure accuracy. If it's below 92%, we don't ship it. We rebuild the prompt, swap the model, or break the workflow into smaller steps.
You get a Loom Wednesday evening showing it working live, end to end, on real-looking data.
By Thursday, the patterns from Wednesday compound. Workflow #2 takes 4 hours instead of 8. Workflow #3 takes 3.
This is also the day we wire in the Slack and Telegram interfaces. Your team will talk to the AI in plain English. No dashboards, no logins, no extra tabs.
Friday is dedicated to breaking things. We feed the system bad inputs, contradictory instructions, edge cases pulled from your real history. We measure failure modes.
Anything that fails silently gets escalation logic added. Anything that fails loudly gets a graceful fallback. The system is now allowed to refuse requests it can't handle confidently — the alternative is hallucination, and hallucination kills trust faster than refusal.
Friday evening you get a second Loom: full demo, edge cases included.
Saturday is quiet. We finalize the system on the Mac Mini. We write your team's runbook (a 4-page PDF: how to talk to the AI, what to do when it's confused, how to add a new workflow without us). We pre-load all your credentials, encrypted at rest.
The box is sealed Saturday evening, ready for delivery Monday.
9am, we're at your office with the Mac Mini.
By 11am we leave. The box is yours. The system is running. From this moment, every task it handles is money you're no longer paying a person to do.
Three reasons:
The result: by Day 8, your AI is doing real work. By Day 21, you've broken even. By Day 90, you have a system most of your competitors are still in discovery calls about.
Speed isn't the opposite of quality. It's what happens when you stop reinventing things you've already built 50 times.