Winsen One

Work is better
with Winsen

AI employees for Financial Services, Manufacturing and Logistics.

Winsen helps turn your company AI-native: streamline the work your teams do by hand, and cut the cost of getting it done, in money and in hours.

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Best on desktop

The Winsen One console.

Your command center for AI employees: their queues, their findings, and everything waiting on your approval. Built for desktop; open it on your laptop.

We'll email a one-click sign-in link from hello@getwinsen.ai. Open it on your laptop and you're straight into the live demo, no code to type.

SEE ONE WORK

Watch an AI employee work.

Not a diagram. The actual loop: it reads a file, raises a finding cited to the page, and waits for a named reviewer to approve it into the audit trail.

A credit file review employee, working its queue. Every finding cited, every approval yours.

WHAT THEY ARE

Hired by role. It does the reading,
checking and drafting. You keep the call.

An AI employee owns one job end to end and submits its work for your approval. You run the whole team from one console, Winsen One.

AI employees do defined jobs.

Credit file review. Reconciliation. Freight bill audit. Each one is hired for a job your team already knows, and it works the whole queue, not a sample.

Every action is approved.

Every output is a draft until a named person on your team signs it. Findings, closures, disputes: nothing counts without approval. That is the contract, not a feature.

Every event has a log.

Each document read, check made and approval given is logged with its evidence. Your auditors get a cleaner trail than manual work leaves today.

WHY IT MATTERS

The difference is not speed.
It is coverage.

2 to 5% · what a sampled review covers today100% · every file, with an AI employee
01

Every file reviewed, not a sample.

Coverage goes from the few percent a hand review can sample to every file in the book, each read against your own credit policy.

02

Every output approved by a named person.

Nothing counts until someone on your team signs it, and the approval is logged with the evidence that sits behind it.

03

First measurable proof in weeks, on files you have already reviewed.

Run it on a stack of work your team has already checked. It reports what your process caught and what it missed, on your own ground truth.

BEFORE AND AFTER

A manual report, remade.

The same portfolio review, the same month. On the left, sampled by hand. On the right, every file read and the report signed off by a named officer.

Today · sampled by hand
credit-review-log.xlsx · June
File
Reviewer
Result
Date
HL-8817R.M.not reached
HL-8703S.K.Pass12 Jun
HL-8641·not reached
HL-8590R.M.Pass11 Jun
HL-8542·not reached
HL-8511A.V.Pass09 Jun
HL-8498·not reached
2 to 5% of files reviewed
Winsen One · ArtifactApproved · ART-2026-0611

Portfolio review · June 2026

Retail home loan book. Every file screened against policy; findings page-cited.

Files reviewed
2,847
all in-scope
Coverage
100%
no sampling
Findings
41
▾ 9 vs May
Confirmed
28
13 under review
Findings · by typeConfirmedUnder review
FOIR breaches12Missing deviation approvals9Income mismatches8Document gaps7Tampering signals5
28 confirmed · 13 under review · reconciles to 41
HL-8817FOIR breachevidence p.18, p.42Confirmed
HL-19882Missing deviation approvalevidence p.2Confirmed
Approved byR. MehtaSenior Credit Officer
SIGNED · 02 JUL 2026
HOW THEY JOIN

Three steps. No rip-and-replace.

01

Connect your tools

Email, drives, exports from the systems you already run. Some employees need no connections at all; the ones that do list those prerequisites on the role card before you hire. Your stack does not change.

02

We learn your processes

Your SOPs, policies and rate contracts go in. Living process maps come out, visible to your team, with every rule cited to the exact clause and page. Large documents are read index-first, section by section. Your process, not a generic checklist.

03

Set the tasks

Give each employee its queue. It works oldest-first, drafts every output with evidence for approval, keeps a journal your manager can read in a minute, and turns every correction into an improvement it proposes, never silently applies.

WHY YOU CAN TRUST THEM

Security you can inspect, not take on faith.

Every AI employee's output is a draft until a named person on your team approves it. Every read, check and approval is logged with its evidence. Your data is never mixed with another customer's, never trained on, and exportable. Enterprises that need full isolation get it: a dedicated single-tenant unit or a deployment on your own infrastructure, with your own database, storage and domain.

What we never compromise on

No output without a named approver

Every output is a draft until a person on your team signs it. The approval is logged with the evidence.

No customer data mixed with another's

Your data is yours alone. Never pooled with another customer's, and exportable at any time.

No training on your data, ever

Not by us, not by a model provider. Your documents run your employees, nothing else.

No expansion without measured results

Deployments grow only when approved-work volume, time returned and error rates make the case.

No black-box runtime

Platos, the runtime your AI employees think on, is open source. Read it, audit it. We operate it in every deployment.

No action outside the audit trail

Every read, check and draft is logged with its reasoning. Nothing can be edited after the fact.

SOC 2 Type II
Audit underway
Encryption
At rest and in transit
Data residency
In-region deployment
Model access
Provisioned and governed by us

Security & deployment, in full

Tell us the job that hurts.

The queue that never clears. The review that only samples. We come back with the employee and a pilot you can measure in weeks.

Our team replies within one business day.

Your data stays yoursHuman approval on everythingEvery action audited

FAQ

Straight answers.

No dodging, no contact-sales-to-find-out.

What exactly is an AI employee?+
A worker hired for one defined job: reviewing credit files, closing reconciliation exceptions, auditing freight invoices. It reads the documents, applies your process, and drafts its output with evidence. Not a chatbot, not a copilot; it owns a queue.
What is Winsen One?+
The command center for your AI employees: what each one is working on, what it found, what is waiting on your approval, and what it cost. One screen for the whole bench.
Can an AI employee act on its own?+
No. Every output is a draft until a named person approves it, and the approval is logged with the evidence. Autonomy is granted per action type, never assumed.
Where does it run, and where does our data live?+
Two grades. Small teams run on managed SaaS: one shared deployment, sign up and go, with your data never mixed with another customer's, never trained on, and exportable. Enterprises take the custom grade: on your own infrastructure or a dedicated isolated single-tenant unit, where your data stays in your own databases.
How is it priced?+
Managed SaaS carries a monthly fee per AI employee with a usage limit included, and per-unit billing beyond it. The custom arrangements, on your infrastructure or a dedicated isolated unit, are priced in the contract. No public price list; talk to us.
How does it learn our processes?+
You share the documents your team already runs on: SOPs, credit policies, rate contracts. They become living process maps, and every check cites the clause it applied. When a document changes, the map updates and shows you the difference.
Does this replace our team?+
It takes over the reading, checking and chasing that keeps your team from the judgment work. Decisions, escalations and sign-offs stay with people, by design.
How fast can we see it on our own work?+
A pilot runs on historical work your team has already checked, like a set of reviewed loan files or a quarter of freight invoices. You get a report of what your process caught and what it missed, in weeks.
Don't take our word for it

Work is better with Winsen.

Ask your favorite AI for a summary on Winsen. It opens with the question ready, so you get an honest read in one click.

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