Finance operations & assurance, built as software

Automates what it should.
Stops at what it shouldn’t.

Payables, reconciliation, intercompany, revenue assurance, close and consolidation — run by bots your finance team can audit. Every transaction tested as it posts. Anything outside the rules waits for a human.

WHAT COMES IN every morning, unattended AP inbox 14 unread Bank feed 3 accounts · 2 ccy Stripe · Shopify settlements daily POSTED straight to your ledger 138 entries today LAST ENTRY QB-JE-100482 AED 25,725.00 HELD FOR A HUMAN 1 INV-2248 Gulf Steel Trading price variance 6.2% over your 2% tolerance CHECKED AS IT POSTS INV-2291 BANK 04-11 INV-2248 EXP-8810
Where you’re starting from

Three ways in.
Pick the one that’s yours.

The first bot is never the same one twice. Tell us which of these sounds like your month and we’ll tell you where we’d start.

Not sure which one you are? That is a fine reason to book a session.

Why finance automation usually fails

It dies in translation
between two rooms.

The finance room

“The tolerance is 2%, not 5%. And Gulf Steel always sends a statement, never an invoice.”

They know every rule exactly. None of it is written anywhere a developer can read, and half of it has never been said out loud.

The IT room

“Send me the spec and I’ll build it. What’s a control account?”

They know APIs, retries and uptime. Not that posting to the wrong control account breaks the intercompany elimination in March.

So we sit in both chairs.

Chartered Accountants who write the automation themselves. The rule set is drafted in accounting language, signed off by your finance lead and built by the same person who wrote it — so nothing is lost on the way between the two rooms.

Controls

Seven rules we don’t break.

A bot that posts entries nobody can explain is an audit finding waiting to happen.

Only rules you approved

Every posting rule is written in plain accounting language and signed off before it runs. No hidden logic.

The bot prepares, a human approves

Segregation of duties survives. Payment runs, large journals and new master data still need a named approver.

Exceptions surface, never swallowed

What can’t be matched goes to a hold account with the reason attached — never a guess to keep a dashboard green.

An audit trail by design

Who, what, when, which rule fired and the source document behind it. Hand the log to your auditor unprepared.

Every run reversible

Activity is batched and tagged, so a bad run is unwound at the journal level rather than hunted line by line.

Your tenant, your data

We build inside your own accounts. If we part ways, the bots and their documentation stay with you.

Posted to the standard you report under

Every posting rule is written against your own reporting framework — IFRS, US GAAP or the local GAAP you file under — and against the local regulations that apply to you, from VAT and e-invoicing to withholding tax and statutory filing formats. Your finance lead sets the treatment and your auditor can see it. The bot’s job is to apply it the same way every single time, which is something a person doing it by hand at 9pm on the last day of the month cannot promise.

How a bot gets built

Four stages.
You can stop after the first.

01

Working session

We sit down with your team and walk through your close calendar, volumes, systems and controls — and where the hours actually go. You get a written roadmap ranked by effort against impact.

Free · ~5 days
02

Blueprint

Process maps, posting rules, exception handling and approval gates — written for Chartered Accountants, against the reporting standard you file under. Nothing is built until your finance lead signs it.

1–2 weeks
03

Build & parallel run

The bot runs beside your team on live data. Every difference is investigated and closed. It takes over only once the output matches.

2–6 weeks per bot
04

Run & improve

Monitored runs, a monthly exception review and rule updates as you change. Or take it in-house — the documentation is yours either way.

Ongoing
Security & your data

“Are you putting our
ledger into an AI?”

The honest answer is no — and the reason is worth two minutes before you let anyone near your accounts.

Your data never trains a model. The rules are deterministic code, and the few model-assisted steps run under enterprise terms with no training and no retention.
We build inside your tenant. There is no copy of your ledger sitting on our side.
Read-only while we scope. No bot we build ever holds payment initiation rights.
Revoke our access in one click, from your own user list, without asking us.

Find out what your
finance team could hand over.

Twenty minutes of your time. A written roadmap of what a bot could take and what it shouldn’t.