KYC does not run on your system. It runs on people moving things between windows.
The document re-attached by hand for the fifth time. The client chase living in a messenger thread. The case that waits a week because it crossed a desk. Below is what that work looks like today, what it looks like once Silow has mapped it, and what it gives back — recorded inside your own perimeter, with no keystroke logging and no scoring of anyone.
The answer to the question your CISO is about to ask.
A tool that records how people work is exactly the tool a regulated company is right to be suspicious of. So here are the boundaries first, in writing, before a single claim.
Zero-access mode: Silow runs air-gapped on-prem or inside your own VPC. Work data is processed in place. Silow does not receive, access or store your raw captures. This is the mode regulated buyers take — and the only mode in which we will ever say that sentence.
These are product constraints, not policy promises. We never record what is typed, nothing is captured from camera or microphone, and private communications are not read.
No productivity ranking, no performance evaluation, no automated decision about anyone’s job. The unit of analysis is the process — in our AI-adoption report, not a single personal name appears in the underlying facts at all.
Any capture contains fragments of people’s private lives. Our filter rejects health-related data without exception — in one recording that cost us 43 minutes of genuine work information. We paid it on purpose, and we would pay it again.
An Art. 28 processor DPA available today, with standard contractual clauses for transfers. EU-only processing is available in zero-access deployments, where nothing leaves your environment. No emotion recognition, no biometric categorisation, no employment scoring. SOC 2 Type II is underway — and we show no badge until an audit actually completes.
For German and EU employers we ship a works-council packet with the product boundaries in writing. Security and legal review takes days, not months, because we arrive with the deployment model and the paperwork already on the table.
We never publish a blanket “Silow never sees your data.” That is only true in zero-access mode — and that is the only place we will ever say it.
How the work looks today. How it looks after.
Seven processes, in the order we would take them. The left-hand column is not a caricature of a back office — it is what two recorded teams were observed doing. Rows tagged “Measured” carry a number that came out of that recorded work; rows that carry no measurement say so instead.
An analyst opens six windows: the portal, the shared drive, two messengers, the spreadsheet, the mail client. Documents arrive with names like scan_final_2.pdf, get renamed by hand, filed by hand, and chased by hand when one is missing. The case is "in progress" for a week and is being worked on for forty minutes of it.
The packet assembles itself from what already exists across the tools: documents collected, named to your convention, filed, and the gaps listed. What reaches the analyst is a complete case with the missing items flagged — not an empty folder and a to-do list.
One regulator PDF was manually located in Finder and re-attached across two messengers on five separate occasions in three weeks. No shared link for it existed. Every request for a missing document is retyped from scratch, for the fortieth time this month, by someone who knows exactly what it will say.
Standard requests are drafted from the language your team already uses, with the right attachment already attached. The human reviews and sends. The file has one retrievable place, so it is never hunted for again.
Before anyone can make a decision, someone spends an hour assembling the evidence for it: the searches, the hits, the false positives, the prior file, the notes. Pure preparation work, performed identically every time, by the person you hired for their judgement.
The packet is pre-filled and the evidence attached, ready to be decided on. Silow never approves, rejects or risk-rates a customer — it removes the hour of assembly in front of the decision and leaves the decision, and the named human who signs it, exactly where the regulator expects them.
The refresh queue grows because each case is cheap to postpone and expensive to start. A case is moving 3.4% of the time it exists — the other 96% it is sitting in someone’s queue, which is exactly where your SLA and your backlog actually live.
The queue becomes visible: what is waiting, on whom, since when, and what would unblock it. Refresh packets are pre-assembled so starting one is cheap. You are not making the analyst faster — you are attacking the 96%.
Work that needs a second human — a reviewer, an approver, a client reply — waits a median of 7 days. Work one person can finish alone waits 1.1. Two thirds of all waiting sits on the far side of a handoff, and it is not time zones: the least-overlapping pair still shares a quarter of the working day. The handoff is simply not defined anywhere.
Every handoff gets a shape: what is attached, what "done" means, who is waiting and since when. Nothing sits silently. This is the single largest block of recoverable elapsed time in the whole operation, and the cheapest one to change.
Nearly a quarter of the operations team’s screen time was a messenger — more than every internal system combined. The chase, the approval, the exception, the promise to the client: all of it lives in threads, and none of it lives anywhere an auditor can follow.
What moved, when, in what order and on whose desk becomes a by-product of the work rather than a task someone has to remember. The record exists because the work happened, not because someone wrote it down afterwards.
The company had built its own internal AI assistant — able to pull reports, query data, draft, handle tickets end to end — and recommended it to the team. Recorded usage across eight operators: seven at zero percent, one at one percent. The licence is paid every month. The work never changed.
Adoption measured from the work itself rather than from seats and logins — and, more usefully, the reason: an assistant nobody opens is almost never a model problem. It is that nobody mapped it onto a procedure anyone actually performs.
Every figure on this page comes from anonymized recorded work: a 9-person team in document-heavy client operations over 5 weeks, and an 8-person cross-border operations team we also recorded. Every figure was computed before a model was allowed to write a sentence about it, and in one of the two recordings all thirty supporting quotes were verified against the raw scenes they came from — not against a summary of them.
What an agent may touch, and what it may not.
In a regulated function this line is the product. Getting it wrong is not an efficiency problem, it is an enforcement problem — so we draw it explicitly, before anything is built.
- Assembling the case file: documents collected, named, filed, and chased when missing.
- Drafting the request-for-information the analyst sends for the fortieth time this month.
- Pre-filling screening and review packets from what already exists across the team’s tools.
- Producing the audit trail — what moved, when, in what order — as a by-product, not a task.
- The reporting ritual: the weekly pull from three systems into one sheet into one deck.
- Watching the queue: which case has been waiting, on whom, for how long.
- The KYC decision itself. Silow never approves, rejects, or risk-rates a customer.
- Enhanced due diligence and any judgement call on an edge case.
- Filing a suspicious-activity report, and everything downstream of it.
- Anything a regulator expects a named, accountable human to have done.
- Every draft an agent produces is reviewed before it is sent. Nothing auto-sends to a client.
Silow does not make decisions about customers, and it does not make decisions about staff. It removes the assembly work around the decision, and leaves the decision — and the accountable human who signs it — exactly where the regulator expects to find them.
Time, money, and the people you already have.
The rule for this section: not one invented percentage. Every figure below is either measured in a recording or supplied by you — because a saving you cannot defend in a board meeting is not a saving, it is a slide.
We do not quote you an industry percentage. Every candidate above is scored in hours against your recording and ranked by payback. The anchors we can already point at: a case moving 3.4% of the time it exists. A median seven-day wait each time work crosses a desk. A document re-found and re-attached five times in three weeks. 190 minutes over three weeks spent retyping threads into a system of record, by one person, on one ritual.
The first is hours × your loaded cost — your rate, not a benchmark we invented. The second is the one nobody counts: the AI you already pay for and nobody opens, recorded at zero to one percent across eight operators in the operations team we recorded. And there is a third that only regulated buyers feel: the cost of an audit trail that has to be reconstructed by hand because the work happened in a messenger.
No new system to adopt, no data to move, no process change while we look — Silow runs on the tools the operation already uses, inside the perimeter you choose. The capacity comes back into the same team, doing the same job with the assembly work removed. What you do with it is a decision for the people running the operation.
A case is moving 3.4% of the time it exists. Making the analyst faster optimises that 3.4%. The backlog lives in the other 96%.
From a procedure nobody has seen to a layer you own.
The agents are the visible part. The thing that makes them possible — and that keeps paying after they ship — is the record of how the operation actually works.
It is written down somewhere, and that document is wrong. The real procedure — the one performed at 09:00 on a Tuesday — has never been observed, which is why every automation attempt starts with a workshop and a guess.
The real steps, from the recording, with the evidence attached: in one of our own recordings all thirty supporting quotes were checked back against the raw scenes they came from, not against a summary. Ranked by impact, effort, risk and payback.
Case assembly, the document chase, the packet prep. Each arrives as a specification an engineer can build from: the observed steps, the evidence, and the lines it must not cross. Human review stays in the loop by design.
The agents are consumers of something more valuable: a private, structured record of how your operation actually works — one that lives inside your perimeter. Onboarding, search, audit, and whatever you build next, on data only you own.
The office work nobody has a line item for.
These six categories are not our taxonomy — they came out of the report on the operations team we recorded, ranked from what that team was observed doing all day.
The recurring pull-assemble-format cycle across dashboards and sheets.
The chase: who owes what, who is blocked, what has gone quiet.
Support, admin and client cases assembled into one reviewable object.
The pre-read and the post-meeting actions, drafted from what was actually said.
Approval and launch packs, rebuilt from scratch for every new market.
Onboarding, access requests, and the tool blockers that stall a whole day.
The part other vendors leave out.
Two of the hypotheses we most wanted to be true were killed by our own data. In a regulated buy, the vendor who tells you what their product cannot do is the one worth the second meeting.
The recording sees activity, never outcome. Whether the account was approved, whether the deal closed — that is not in the data. Join one column of your outcomes to our trace and it becomes provable. Until then, any ROI figure quoted at you is a guess.
A duplicate-work detector: 44 recoverable minutes across nine people over five weeks, so there is no product. A meeting-ROI report: three quarters of what the metric called "meeting time" had no room attached. Both were cut before they ever reached a customer.
Numbers are computed before the model is allowed to write a sentence about them, so no figure gets invented. But a true number can still be attached to the wrong claim. We have caught exactly that twice — both times with human eyes.
In the operations team we recorded, capture ran about two hours per person per working day. The report says so on its own coverage page rather than quietly extrapolating to a full week. If a number rests on thin data, you will see that in the report itself.
Days for legal. Weeks for the roadmap.
Before any recording, we agree the mode. For most regulated buyers that is zero-access — on-prem or your own VPC — with the DPA, subprocessor list and boundaries on the table at the first security call.
Silow runs on the team’s existing machines and tools. No migration, no new system, no process change while we look — the point is to see the work as it actually is.
Scenes become tasks; tasks become the real procedure. Every opportunity scored by impact, effort, risk and payback against your own hours.
A specification, not a suggestion: the observed procedure, the evidence, the scenes behind it, and the boundaries it must not cross.
What you do with the capacity is yours.
Silow maps work, not workers. No productivity ranking, no performance evaluation, no automated decision about anyone’s job — not as a policy written afterwards, but because the unit of analysis is the process. Security review in days. First ranked roadmap in weeks.