⌘How it works

Your AI coworker is deployed where your data already is

Most AI products ask you to bring your data to them. We do the opposite. The coworker is installed inside your own cloud account, connected to the systems you already run, and built around how your team actually works.

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The loop a coworker runsFour stages in a cycle: notice work arriving, gather the context, act, and report. Consequential actions stop at an approval gate before the act stage.THE LOOPNoticeWork arriving in a queueyour team already watchesGatherContext out of every systemthe task touchesActThe write, the send, the post— or a holdReportWhat it did, what it held,and whyAPPROVAL GATEone loop,every roleIt asks when it should not decide alone.

We install the coworker inside your own AWS, Azure, or GCP account. It runs in your VPC, assumes roles your team issues, writes to your audit trail, and works in the systems where the job already lives.

Your account, your controls

Not a tenant in our platform. Not a connector pointed at your data from outside.

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One decision changes the whole conversation

Because the coworker never leaves your perimeter, the question that stalls most AI purchases has a one-word answer.

Your VPCYour IAMYour audit trailYour egress rulesYour credentialsYour key managementYour network policyYour account billingYour retention rulesYour data residencyYour access reviewsYour off switchYour monitoringYour incident process

We build it. You do not staff a platform.

Three stages, one workflow at a time. You are in the room for the first and reviewing the third.

One session, with the person who actually runs it

Every step, system, and exception — including the ones that never made it into the written procedure.

  • Mapped step by step, not described in the abstract
  • Exceptions captured as first-class cases
  • You keep the map whether or not you keep us
AI coworkerMapped 31 steps across 4 systems. Found 6 exceptions.
Your ops leadTwo of those we had never written down.

It holds the access you issue, and nothing else.

Scoped per system, at the narrowest permission the job needs, and revocable without involving us.

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Your teamissues every credentialNo standing access, and nothing we hold on your behalf
One systemper role it is givenRead-only wherever reading is enough for the job
One actionrevokes all of itYou do not need us on a call to switch it off
Your logsrecord what it didWritten to the audit trail you already collect

Deployment questions we get asked first

The ones that come up on every first call, answered straight.

What actually gets installed in our cloud account?
The AI coworker runs as a service inside a VPC in your own cloud account, with the queue and storage it needs alongside it. It is deployed with infrastructure code your engineers can read before anything is applied, and it lives under the same account policy as the rest of your infrastructure.
How does it get access to our systems?
Through credentials your team issues, scoped per system to the narrowest permission the job needs. A coworker that only needs to read order history gets read access to order history and nothing else. Because it runs inside your network, it can also reach private services and internal databases that a hosted SaaS agent has no route to.
How long does deployment take?
The install is short, because it is a deployment into an account you already have. The time that matters is building the coworker around your workflow: it starts with one 90-minute session and then runs alongside your team until its output stops needing corrections.
What happens if we want to turn it off?
You revoke the roles you issued and access ends immediately, because the access was never ours to hold. Since the coworker runs in your account, you can also stop the service or tear the deployment down without involving us at all.
Do we have to change our systems to use this?
No. There is no migration and no new system of record. The coworker works inside the tools your team already uses, and the record of the work stays where it belongs: the CRM stays the CRM, the helpdesk stays the helpdesk.
“The shortest security review is the one where the data never moves. That is the whole design.”
— Why we deploy into your account
Deploymentregion: your account

AI coworker running in eu-west-1.

vpc-0a91c4 · 4 roles✓ Logging to your stack

Put an AI coworker
inside your own cloud.

Bring the workflow that eats the most time. We will show you how it runs.

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