Orbit Intelligence deploys an AI employee in about 7 days, across four stages: discovery, design, deploy, and optimize. Here's exactly what happens at each step — so there are no surprises.
"Seven days" sounds like a marketing number. It isn't. Because an AI employee is configured, not coded from scratch, most of the week is about understanding your work — not building infrastructure. Here's the day-by-day.
Stage 1 — Discovery (Day 1)
It starts with a 30-minute call. We map the workflow you want to hand off and identify the automation gaps: where time leaks, where mistakes happen, where things stall after hours. By the end, we know what the AI employee's job description is and what "done" looks like.
What we need from you
- A walkthrough of the current process
- Examples of inputs and ideal outputs
- Access plan for the tools it will touch
Stage 2 — Design (Days 2–4)
We architect the AI employee: the skills it needs, the tools it connects to, the guardrails that keep it safe, and the points where it should escalate to a human. This is where Cowork Skills and OpenClaw frameworks do the heavy lifting — we're assembling capability, not reinventing it.
Most of the week isn't building the AI — it's teaching it your business.
Stage 3 — Deploy (Days 5–7)
The AI employee goes live in your stack — your WhatsApp, your inbox, your dashboards. We run it alongside real work, watch the first interactions closely, and tighten anything that's off. By day 7, it's handling its role in production.
How we de-risk go-live
- Shadow mode first, where it drafts but a human approves
- Clear escalation rules for anything unusual
- Live monitoring through the first days
Stage 4 — Optimize (ongoing)
Launch is the start, not the finish. We tune the AI employee weekly — sharpening responses, expanding what it can handle, and adapting as your process changes. Performance compounds month over month, and you get monthly reports showing exactly what it did.
What makes a deployment go faster — or slower?
- Faster: a clear, well-understood process and ready tool access.
- Slower: many integrations, fuzzy requirements, or approvals spread across teams.
Simple support or monitoring workers often ship in 3–4 days; complex multi-tool agents can take up to two weeks. We scope the real timeline on the discovery call, before you commit.
Ready to start the clock?
If you can describe the job, we can usually have an AI employee doing it within a week. Book your discovery call — day one starts whenever you're ready. Want the bigger picture first? Read What Is an AI Employee? or compare the packages.