AI coworkers

An AI coworker for the job your team keeps doing by hand

Every coworker we deploy is built for one job, for one team, inside your own cloud account. These are the roles we build most often. If yours is not here, that is a conversation rather than a limitation.

An AI coworker is not a general assistant given a job title. Each one is built for a single job and connected only to the systems that job touches, which is why a support coworker and a finance coworker share a deployment model and almost nothing else.

THE ROLES WE BUILD MOST

Four jobs where the work between systems is the work

SALES

Sales

Account research before the call, the follow-up after it, and a CRM that stays true in between.

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IInternal ChatSlackGoogle ChatTelegramTeamsGmailOutlookZoomCCallsCCRMBBrowserEERP
CUSTOMER SUPPORT

Customer support

Triage, the customer’s whole history in one read, and a drafted resolution waiting for the agent.

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▣   New request
▣   Work completed
OPERATIONS

Operations

The request that crosses four systems and three approvals, owned end to end by one thing.

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YouVendor onboarding: legal, then finance, then the ERP record.AI coworkerI’ll take it from the form and tell the requester where it is.
FINANCE

Finance

Matching, chasing, and the close pack — with every exception brought to you already evidenced.

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Close packWhich variances are over threshold?

And three more we are asked for often

Same deployment model, same build process, different job.

MARKETING

Marketing

Campaign operations, reporting that assembles itself, and drafts written from your own material.

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ENGINEERING

Engineering

Issue triage, review context, and release notes assembled from what actually merged.

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TESTING

Testing

Overnight regression triage, the flakes separated out, and real failures filed with evidence.

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What people actually hand it

Not prompts. The jobs that were already on somebody's list, phrased the way they phrase them.

OPSOperations leadTake vendor onboarding from the form through to the ERP record.Chase the approvals nobody follows up on.Tell the requester where their request is without me looking.
CSSupport managerTriage the overnight queue before standup.Pull the customer's history out of all four systems first.Hold anything with a refund on it for an agent.
FINFinance controllerMatch the invoices as they arrive, not at month-end.Bring me the exceptions with the paperwork attached.Never post anything without me approving it.

If the job has a name, it can have a coworker

Every coworker is built for the job you describe — there is no catalogue to choose from and nothing for you to configure. The department is not the constraint; describable work and a reachable system are.

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SalesforceSlackGmailNotionPostgresZendeskSalesforceSlackGmailNotionPostgresZendesk
WHAT EVERY ROLE SHARES

Different jobs. The same deployment model.

Whichever role you start with, the architecture underneath it does not change.

Runs in
YOUR CLOUD
Built for
ONE JOB
Connected to
YOUR SYSTEMS
Logged to
YOUR AUDIT TRAIL

Choosing a role to start with

What teams ask when they are deciding where to point the first coworker.

The job that is expensive, repetitive, and crosses systems — usually the one a good person spends the least valuable third of their week on. Teams that start with their messiest workflow rather than their easiest one get a much clearer answer about whether this works for them.

Yes, and most teams end up there. Each one is built for a single job, so a second coworker is a second build rather than a configuration change to the first. Where a process genuinely crosses, they can hand work to each other.

Then it is a custom build, which is a normal outcome rather than an exception. What matters is not the department name but whether the job can be described, whether the systems it touches have an API or a database, and whether it happens often enough to be worth handing over.

They share a deployment model and differ in almost everything else: which systems they connect to, what they are allowed to do on their own, and what the work actually is. A support coworker and a finance coworker have little in common past the fact that both run inside your account.

It starts with one 90-minute session walking through the work, then the coworker runs alongside your team until its output stops needing corrections. That parallel period is the real timeline, and its length depends on how many exceptions the job has rather than how many systems it touches.

Briefly, to provision into the cloud account and issue the roles. Building and running the coworker is the part we do. You are not being handed a builder that needs someone permanently assigned to it.

“Nobody hires a general employee. They hire someone for a job, and the job is what makes them useful on the first day.”
— Why every coworker is built for one job
New coworkerscope: one job

Invoice reconciliation, exceptions to a person.

4 systems · 3 approval gates✓ Deployed in your account

Put an AI coworker
inside your own cloud.

Bring the job your team keeps doing by hand. We will show you how it runs.

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