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The ~$93K our own bank import dropped, and the check that caught it.

This is a story about our own mistake. We tell it because how a team handles its errors says more than its wins do, and because it shows why every number here passes a check before anyone sees it.

By the Hundred MS team. Reviewed by Narek Abgaryan, CFA, FRM. Client details are withheld and figures are rounded.

The result
  • ~$93Kunderstated in the bank balance by a silent import error
  • 7 rowsdropped by a rare de-duplication case
  • 1 new rulea full comparison after every import, written into the playbook

A real engagement, anonymised.

1 The situation

Bank data for a client was being brought into the working files by an AI-run import. The import looked clean. No error, no warning, a finished-looking file.

It had silently dropped 7 rows. A rare edge case in the step that removes duplicate lines had treated 7 real transactions as duplicates. The bank balance was understated by about $93K, and receivables by about $1.5K.

2 How it was caught

The reconciliation check would not go to zero. When the balance was set against an independent bank list, a gap remained, and our process does not allow anyone, person or AI, to move on while a check refuses to tie.

So the work stopped there. The gap was traced back to the import, row by row, until the 7 missing transactions were found.

3 What we did about it

We corrected both master files and recomputed every balance that depended on them. Nothing had gone out to the client on the wrong numbers.

Then the important part. We wrote the failure into the playbook as a mandatory step: after every import, the full date range is compared against the source, line by line. The same error cannot now pass unnoticed.

4Other errors the same discipline has caught

  • A journal entry that would have double-counted a deferral, caught before it was posted.
  • A tax engine that had restated its own data by about half, caught before anyone filed on it.
  • Entries edited after a close was signed off, found by comparing the live ledger with what it said the week before.

5What the AI did, and what people did

The AI

  • Ran the import and the reconciliation
  • Refused to move on while the check did not tie
  • Traced the gap back to the 7 missing rows
  • Drafted the new playbook step

Our accountants

  • Decided the work stops until the gap is explained
  • Reviewed the correction to both master files
  • Approved the new rule
  • Own the numbers that go to the client

The value is not an AI that never errs. It is a system where errors get caught, fixed and learned from.

Every correction our AI receives becomes a log entry: what happened, what triggered it, and the lesson. Lessons that prove themselves are promoted into the rulebook. The system gets safer every month.

If you are bringing AI into your own finance team, this is the part to copy first. The tool is the small part.

Bring us one number you don’t trust

Bring us one number you don’t trust.

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Narek Abgaryan
You’ll talk to Narek AbgaryanCo-Founder & CEO · CFA, FRM

If we don’t think we can help, we say so on the call and point you somewhere better. We only take on work we can tie to the penny.

Not ready for a call? Email me the number instead.

narek.abgaryan@hundredms.com 727 625 4373 Hundred MS LLC · 7901 4th Street North, Ste 300, St. Petersburg, FL 33702 · we reply within one business day.
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