Ten specialists across financial services, manufacturing and logistics, available now and open to pilot conversations. Each one reads, checks, and drafts; a named human approves. Hire the first one; the rest get cheaper.
Four things that separate a governed employee from a bot in a costume.
No canvas, no prompt engineering. Vera arrives knowing credit file review; you teach her your policy, not the job.
Your credit policy, your SOPs, your rate contracts. Not a generic checklist.
It reads, checks, and drafts. A named human approves every finding, and the approval is logged.
Every employee shares the same harness and audit trail. The first hire does the setup; the rest reuse it.
The employees on the job, with what each is doing right now. Recreated from the real roster screen.
3 employees on the job, 2 up next. Every finding is a draft until a named human approves it. One harness, one audit trail.
Reads every loan file against your credit policy, not a sample. Every finding cited to the page. A named reviewer signs every memo.
Works the exception queue your matching engine leaves behind. Never posts an entry. Every closure carries its evidence chain.
Triages every alert your detection systems throw, oldest first. Closes nothing alone: every disposition waits for a named analyst.
Reads batch records page by page against your SOPs before release. Never releases a batch; your qualified person decides.
Audits every carrier invoice line against contracted rates. Never blocks or pays; drafts the dispute with the clause attached.
It runs full-size. Drop your email and we'll send a one-click magic link to open it on your laptop.
Grouped by industry. Tap any card to meet them.
Your second line samples. Vera reads every file. Every loan reviewed against your credit policy, with the evidence attached.
Docket verification went AI. File assembly did not. Asha chases every missing document and clears every deferral until the file is complete.
Your recon tool clears 96%. Ira works the queue that's left, item by item, with the trail your auditors want.
Your AI flags nineteen lakh alerts a quarter. Kai works them: evidence gathered, false positives closed, real ones escalated with a file.
Half your PO lines change after you issue them. Tara tracks every open line and drafts the follow-up before the delay reaches the plant.
Batch records, deviations, CAPAs. Mira reads every page against your SOPs before release, and shows her work.
One invoice in five arrives with an exception. Neel works the three-way match line by line and drafts the packet your approver signs.
Every vessel call, every voyage, every shipment runs on a pile of documents. Zara owns the pile.
Carrier invoices against contracted rates, every line, every accessorial. Freya finds the overbilling before you pay it.
Port-call invoices, partner settlements, COD cycles. Dia audits every line against the tariff and drafts the dispute before you pay.
17 more control-function roles mapped, by industry. New roles are built on demand, on the same foundations.
Don't see your control function? Tell us the queue. We'll tell you honestly if it fits the foundation.
Nobody gets the keys. Not on day one, not ever. That is the product.
Runs on a historical corpus your team already reviewed, for example 300 closed loan files. You score its findings against what your reviewers caught. No production access.
Works the live queue. Every finding is a draft until a named human approves it, and every rejection is logged and measured.
The envelope never relaxes. It reads, checks, and drafts; approval stays human. Volume gets automated. Accountability does not.
No dodging, no contact-sales-to-find-out.
Pilots run on your historical data and finish in weeks. Then a full deployment over 3 to 4 months, with a forward-deployed team working alongside your people.
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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