Three arrangements. One product.
The same AI employees, the same approvals, the same audit trail, whichever way you run it. Managed SaaS for small teams. Two custom arrangements for enterprises. Prices live in the agreement, not on this page. One call gets you a real number.
Pick the arrangement. We price the work.
You pay for employees and the work they complete, never for seats. Work only counts when a named person on your team approves it.
Managed SaaS
For small teams that want to start now.
One shared multi-tenant deployment, run by us. Sign up and go. Each AI employee carries a monthly fee with a usage limit included; work beyond the limit bills per approved unit. Your data is never mixed with another customer's, never trained on, and exportable.
On your infrastructure
For enterprises whose data cannot leave.
Single-tenant, on your own cloud or data center: your database, your storage, your domain. Documents never leave your perimeter. Winsen operates the runtime. Delivered through the engagement below.
Dedicated isolated unit
For enterprises that want isolation without operating anything.
A single-tenant deployment we host exclusively for you: your own domain, your own database and storage, in your region. You get the isolation. We do the operating. Delivered through the engagement below.
The custom arrangements are single-tenant: your own database, your own storage, your own domain. On managed SaaS, your data is still never mixed with another customer's.
How a custom engagement runs.
For the two custom arrangements. It mirrors the Winsen Labs engagement model: 3 to 4 months, a forward-deployed team working alongside your people, and a small number of engagements at a time. Managed SaaS skips all of this. Sign up and go.
Understand · week 1
A working session with your team. Nothing to sell in it. We map the queue, the approval rules, and the work your team has already checked.
Deploy narrow · weeks 2-4
One team, one workflow, on your stack, inside your approval rules. The first runs are a paid pilot on historical work your team already knows the truth about, so the result is measured against ground truth.
Measure · weeks 4-12
Approved-work volume, time returned, error rates. On shared dashboards both sides read. What your process caught, what it missed, cost and turnaround per item.
Expand · when proven
Only when the measurements make the case. More teams, more workflows, same approval rules. Never before the numbers.
What procurement will ask.
No dodging, no contact-sales-to-find-out.
Which arrangement should we pick?+
Why is there no price list?+
Who pays for the AI model usage?+
What counts as billable work?+
Is there a pilot?+
Talk to us.
Tell us the deployment you need and the job that hurts. You will leave the first call with a number.


