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Platform & security

AI you can actually check.

Every GreenBar tool runs on the same foundation: it shows its reasoning for every suggestion, learns from your corrections so it gets better the more you use it, and won't take a step that needs judgment until a person signs off. And every step is recorded in one audit trail you can hand to a reviewer: what the AI did, and who approved it. No black boxes, and nothing leaves your computer unless you switch on a connection yourself.

Where the data sits

One architecture: your machine.

GreenBar tools run entirely on your computer. There's no GreenBar server for that data to go to. Clearing works this way today, and AP Pay is being built the same way. The only things that ever cross that line are connections you switch on yourself.

For the local-first tools, you can switch on connections to systems you already use: your bank, your accounting system, a sync endpoint you control. Those run between you and them, and never route through GreenBar. Both diagrams below are the same claim from two angles: where your data goes relative to everyone else's tool, and exactly what crosses the line inside your own install.

LOCAL-FIRST TOOLSYour computerbooks, matching, the learningNo GreenBar server. No shared model. Nothing pooled.TYPICAL CLOUD AI TOOLYour client booksbank + ERP exportsVendor’s serversyour data, their diskShared modeltrained across every firmother firmsSame grid, same scale. Everything Clearing and the local-first suite do happens in the first column.

Clearing and the local-first suite: what crosses the line, and only if you allow it

Everything below the dashed line runs on your machine. The only things that cross it are optional connections you turn on: a bank link, your accounting system, and, for teams, a sync endpoint you control. These tools run no cloud.

Optional connections · only if you turn them on

Bank (Plaid) · QuickBooks/Xero · a sync endpoint you control

Only if you allow it

Your machine

Your data

Bank + accounting files, on your computer

Local AI engine

Does the transactional work

You sign off

A person approves before it posts

None of your financial data from Clearing or the rest of the local-first suite is ever sent to our servers — we don't have any. The only outbound connections are ones you switch on yourself:

  • A bank link, via Plaid
  • Your accounting system — QuickBooks and Xero, live sync rolling out, file import today
  • For teams, a sync endpoint you control

AP Pay is being built the same way. Join the waitlist to hear when it ships.

Built for audit

An audit trail that covers the AI, too.

This is what makes everything else provable. Every entry carries both halves of the decision: what the software proposed, with its confidence and the signals behind it, and the named person who accepted or changed it. An auditor reads separation of duties off a single line, without joining two records.

Once you sign off, the period is sealed; change anything afterward and it shows. Most AI tools cannot tell an auditor what the AI actually did. GreenBar can. Clearing ships this first, and it is the model for the whole suite.

  • What the AI did, with its reasoning — not just the result.
  • Who reviewed and decided each item.
  • The named preparer and reviewer sign-off that finalized the work.
  • A tamper-evident record: sealed at sign-off, exportable straight to your auditors.
Download a sample audit trail (PDF) ↗

Demonstration data. Clearing ships this audit trail first.

Ledger entry · 1 of 412

ACH 04/18 · SYSCO FOODS 8841

$1,284.60

Proposed by the software

MatchINV-20412
Confidence94%
Signalsamount · date · vendor
PatternP-118 · 6 prior closes
At30 Apr 09:12

Approved by a person

DecisionAccepted
Changed
PreparerR. Moore
ReviewerJ. Alvarez
At30 Apr 14:07

Sealed at period close, 30 Apr 17:22. Any later change shows.

Demonstration data. One entry, both halves on the same line.

Gets better every month

Every tool learns how you work.

GreenBar's engine learns from your own corrections: the match you fixed, the vendor you re-coded, the exception you cleared. Next time it already knows, so it proposes more and asks you less. It learns per account and per client.

  • Learns from your corrections: fix something once and it sticks for next time.
  • Per account and per client, so one messy client's quirks never bleed into another's.
  • Every suggestion carries a confidence score. The sure things move fast; only real judgment calls reach you.
  • Never a shared model — your patterns stay on your machine.

Illustrative example.

Why, in plain English

Every AI action shows its work

No GreenBar tool asks you to trust a result you can't check. Whatever the job (clearing, payables, data, forecasting), when it flags something or proposes a change, it shows why, how sure it is, and exactly what it's basing that on.

  • When something's flagged, you see why — and the exact figures behind it.
  • Match suggestions show how sure GreenBar is and which details lined up.
  • Every decision is saved to a complete history you can export.

Example from Clearing · why a transaction was flagged

Tech Solutions · WIRE-55 — $5,000.00

Why flaggedAmounts don't match
How sure62%
What we sawYour records show $5,000; bank cleared $4,950
SuggestedCheck the $50 difference

You decide. Every tool only surfaces and explains; it never acts on its own. Same four lines, whatever the job.