Onboarding

From intake to live agents in one week.

This isn't a platform you configure yourself and hope for the best. We build your team with you — and we stay involved after it's running.

What actually happens, in order.

Day 1–2

Intake & context gathering

A structured onboarding call where we learn how your business runs — your voice, your clients, your typical workflows, and where things usually break down. We don't start building until we understand what you're actually trying to do.

Day 3–5

Your team is built and tested

Your dedicated server is provisioned and your agents are configured with the context from your intake. We run test tasks before anything goes live. You review the setup before your team starts working.

Week 2

Real work begins

Your agents start handling actual tasks. You'll notice quickly what's working and what needs adjustment. Every correction you make gets incorporated into your team's knowledge base — this is how they get better.

Week 3–4

Context deepens

By now your agents have handled enough real work to understand your patterns. Edge cases surface. You refine the instructions and scope. Most customers find their team is handling 70–80% of target tasks reliably by the end of week four.

Day 30

30-day tuning session

We run a structured review of what's working and what isn't. We address anything that's still rough, update agent knowledge bases, and set priorities for the next month. This session is included on every plan.

Month 2 onward

Monthly rhythm

Ongoing tuning on a schedule that matches your plan. Upstream security reviews happen independently of your tuning cycle — if a dependency needs updating, we handle it and tell you what changed before we do it.

The parts that take patience.

AI teams are powerful. They're also not magic. Here are the things we see new customers struggle with.

01

Context takes time to build

Agents are only as good as the knowledge they're working from. The more specific you are about how your business works, the faster they get useful. Vague instructions produce vague outputs — this is true of people too.

02

You'll need to correct them

Expect to give feedback, especially in the first two weeks. This isn't a failure — it's the mechanism that makes your team better. Customers who engage actively in the first month get significantly more value by month two.

03

Not every task is a good fit

Agents are excellent at structured, repeatable work. Tasks that require genuine judgment calls, sensitive interpersonal dynamics, or real-time context you haven't given them are harder. We'll tell you upfront if a workflow isn't a good fit.

04

Permission scoping matters more than you think

What you give your agents access to is a real decision. We help you think through scope during onboarding, but you're the one who knows your business. Don't give an agent access to something you haven't reviewed.

How to make your agents better.

Your agents improve through the knowledge and instructions they're given — not through retraining an AI model. That means feedback from you translates directly into better outputs, without a lag.

The most effective customers treat their first month like a supervised handoff. They check work, they correct it specifically, and they tell us what changed. By month two, the rhythm is usually much more hands-off.

Ready to see what your team looks like?

We'll start with a conversation about your business, not a sales pitch.