scoutnotebook.com · frontier AI for banking

Your best reviewer’s method,
on every file.

Scout Notebook is where a banker writes a review once and the whole institution runs it the same way — on real files, with an audit trail an examiner can follow.

A commercial loan file, start to finish · under two minutes · captions carry it Sample file, no borrower data · More videos →

The work it does.

Specific jobs · specific people
Lending

Consumer loan QC

Truth in Lending, Reg Z alignment, fee disclosures, calculations. Catches the terms that drifted between the quote and the final documents.

Lending

Commercial loan QC

Policy adherence, covenants, and three-way alignment between the credit memo, the closing docs, and the core — in every attorney’s phrasing.

Lending

Documentation verification

Proof of income, residency, insurance, and stipulations — checked before funding rather than discovered after closing.

Credit

Credit reports, made readable

A report nobody wants to read becomes a page anyone on the team can act on. Same format, every time.

BSA

Currency transaction reports

Consistent, complete, and documented — on the same schedule, without the Friday scramble.

Operations

Invoices

Somebody on your team hates this. It takes real time and produces nothing anyone thanks them for.

Third-party risk

Vendor contracts and SOC 2 reports

What you’re actually agreeing to, and what the report actually says — exceptions, carve-outs, and the controls that aren’t there.

Yours

And the one that’s specific to you

Every institution has exceptions that don’t look like anyone else’s. That isn’t a gap in the product — that is the product. Tell us yours.

Why it’s a notebook

The written rules stop short of the file.

Each layer below is more specific than the one above it. None of them reach the call on a single document.

RegulationsFCRA, ECOA, GLBA. External, fixed, the same for everyone.
Institution policyYour written lending policy. Broad by design — it has to cover every loan you’ll ever make.
Checklists & decision rulesEntered per loan. Specific — but silent on the edge cases, which is where the work actually is.
The gapWhat none of them spell out. Real, valuable, and unwritten — it lives in your team’s heads and nowhere else.
The call on this documentMade every day, from memory, by whoever happens to be reviewing it.
“measure from the pay date”
“a birth certificate counts”
“‘scan it’ also means verify it”

None of that is in your policy or on a checklist. It gets passed along at a desk, and every institution’s version is a little different. A rules engine gives you the layers you already have. The gap is yours.

Write each one down once, and it stops being one person’s memory.

Honest answers

Questions your team is already asking.

So did you build your own AI?

No — and that’s deliberate. Scout calls frontier models through their providers’ APIs and uses the most capable ones we can put behind the work. What we build is everything a bank needs around that model: the banking knowledge, the safety and privacy architecture, the audit trail, and human review at every consequential decision. A model on its own can’t be pointed at a borrower’s file. That gap is the whole product.

We already use ChatGPT or Copilot. Why do we need this?

You probably don’t need to stop. Both make one person faster. What they can’t do is work a real borrower file, produce the same answer twice, cite its basis to an examiner, or hand what that person learned to the next desk. That’s the step Scout takes.

Couldn’t we just build this ourselves?

The chat window, yes — that part is a weekend. What takes years is the taxonomy across fifty states of lending law, the attorney phrasing variations, versioned domain logic, an audit trail an examiner will accept, and someone whose job is to keep all of it current, permanently. If somebody on your team wants to price it out, we’d encourage it.

Someone else quoted us a lot less. What’s the difference?

Possibly nothing you can see in a demo, because a demo is built from a clean file. What separates tools is what happens on the values it got wrong, or couldn’t read. A fair test for any vendor, us included: ask to see a review where the tool wasn’t sure — one where it couldn’t tell, said so, and showed you why.

Get started

Bring us the thing you hate doing.

One thing on your team’s plate that takes too long and produces nothing anyone thanks them for. We’ll show you what it looks like as a notebook.

Or email sales@visionfi.ai. The commitments on this site are terms in our subscription agreement — ask for it at contracts@visionfi.ai.