Service

AI employees that run the work.

Software that does one defined job end to end, inside the tools your team already uses, and escalates the edge cases to a person.

All services

The work is not hard to understand. It is hard to keep up with. Support tickets, invoice matching, data entry and reporting all need someone to open the same tabs, check the same systems and write the same updates.

Hiring another person takes months. A generic automation tool moves the problem somewhere else. We build a system that does the defined job and knows when to stop.

What we build

Support replies

Reads the ticket, checks the order or account, writes the reply and updates the record. Anything unclear goes to a named person.

Invoice matching

Reads supplier invoices, matches them to purchase orders, enters the lines and flags mismatches for review.

Reporting

Pulls numbers from the dashboards you already use, reconciles the gaps and posts a plain-language summary before the team logs on.

Data entry

Moves records between browser tools and APIs without copy-paste, with a log of every change.

What's included

How it works

Day 1–2

Audit

We look at the workflow, the tools and the edge cases before proposing anything.

Day 3–4

Scope

One system, fixed scope and written acceptance criteria. No deposit.

Day 5–10

Build

Working software every two days, tested on real data inside your accounts.

Day 11–14

Launch

Tested, handed over. Code, accounts and documentation in your name.

Questions about ai employees

What is an AI employee?

Software that does one defined job end to end: it reads a ticket, checks a system, replies and updates a record, inside the tools your team already uses. It runs continuously and hands anything unusual to a person.

What kind of work can be automated?

Anything that happens in a browser or through an API: support replies, invoice matching, data entry, reporting, lead qualification, appointment booking and back-office reconciliation. Work that needs judgement is escalated, not guessed.

What happens when it gets something wrong?

Every system has an escalation path agreed during scoping. Anything outside its confidence threshold stops and goes to a named person in a channel you choose. Production incidents are covered 24/7.

How long does it take?

A scoped first system goes live in 14 days: two days of audit, two days of scoping, six days of build, three days of testing and a day for handover.

Who owns the system?

You do. Code, infrastructure, accounts, prompts and documentation are built in your accounts from day one and handed over at launch.

What does it cost?

AI employees start at $499 per month for running, monitoring and escalation. The build is scoped and quoted before work begins, with no deposit. Payment is due after deployment and verification against the agreed acceptance criteria.

Related

Start with one workflow.

We'll audit one workflow, tell you what it takes, and say if it's worth automating.