What actually happens when you hire an AI employee.
Winsen One is the command center where your team runs its AI employees: what they are working on, what they found, and what is waiting on your sign-off. The whole machine, in six short chapters.
You hire by role, like any hire.
Every AI employee has a role card: the job it does, the documents it reads, the outputs it produces, and the line it never crosses. A reviewer never touches the loan system. An auditor never releases a payment. The card lists the system connections the role needs, so there are no surprises after you hire. Then the employee gets its own email address, a place in your reporting lines, and a manager on your team.
It learns your processes from your documents.
Hand it your documents and it does not swallow them whole. It builds an index first, then reads only the sections that matter, which is why it is fast and precise about citations. Process documents become more: an SOP compiles into a living process map your team can inspect, every rule linked to the page it came from. Your processes, not generic ones, become the way it works.
You set the tasks. It works a visible queue.
Work arrives from your systems, from email, from a teammate in chat, and each task is a defined unit: review this file, close this exception, audit this invoice. Oldest first, nothing skipped, aging in plain sight, so a backlog can never quietly rot. The employee keeps a journal of everything it does and files a daily summary its manager reads in a minute.
Nothing counts until your person approves it.
Every output lands in an approvals queue with the evidence beside it: the claim on the left, the source page on the right. Approve, edit, reject, or ask the employee to explain itself. Each decision is logged under the approver's name, and the log is also the meter: work you approve counts, work you reject costs nothing. Nothing moves around this gate.
It learns from corrections, on the record.
Every edit and rejection lands in the employee's journal as an improvement point. When a pattern repeats, it proposes a change to its own rules, and the change waits for approval like everything else. It never silently rewires itself. Over weeks, the catch rate rises and the edit rate falls, in numbers, on its page.
It runs where your regulator is comfortable.
Two grades cover how it runs. Small teams start on managed SaaS: one shared deployment, run by us, sign up and go, with your data never mixed with another customer's. Enterprises take the custom grade, where single-tenant isolation lives: your own database, your own storage, your own domain. Custom deployments are delivered through an engagement of 3 to 4 months, with a forward-deployed team working alongside your people.
- →Managed SaaS. A monthly fee per AI employee with a usage limit included. The fastest start.
- →On your infrastructure. Single-tenant, inside your perimeter, priced in the contract.
- →A dedicated isolated unit. Single-tenant, hosted and operated by us, priced in the contract.
No public price list. Talk to us and we will put numbers to your case.
And one screen ties it together.
The Winsen One console shows who is in office, what each employee did today, what it cost, and everything waiting on your sign-off. Your team runs the bench from one place, with permissions your admin sets person by person.
The bench, at a glanceApprovals in one inboxCost per employee, visibleAudit trail, exportable
The questions we get at this point.
Straight answers, before you ask them on a call.
What does it cost?+
What models does it use?+
Can we talk to an employee like a person?+
What if it gets something wrong?+
Who can see what?+
What do the outputs look like?+
See it on your own documents.
Bring one SOP and one stack of past work. We will show you the process map, the queue, and the first findings.
