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USE CASE

Bank reconciliation software with rules-based auto-matching

Bank reconciliation software should reduce, not just organize, manual matching work. AccountDesq imports bank statements and uses a rules-based matching engine to preview and apply suggested matches automatically, with reconciliation features - positive-pay verification, sweep rules, watchlist screening - not common at this tier, plus row-level locking and maker-checker approval for safety.

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The problem

Manually matching every bank transaction against your books line by line is slow and error-prone, and gets riskier when more than one person has banking access - two people acting on the same transaction at once can silently corrupt the reconciliation.

How AccountDesq solves it

Statement import brings transactions in; a matching-rules engine previews and applies suggested matches based on rules you define, cutting down the manual matching load. Positive-pay checks and watchlist screening catch discrepancies a simple balance match would miss. Row-level database locking on transaction-matching actions prevents two users from colliding on the same transaction, and higher-risk actions route through maker-checker approval instead of executing immediately.

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Every bank account, with reconciliation one click away - not a separate imported spreadsheet.

How it works, step by step

  1. Import the statement

    Bring in bank transactions from a statement file.

  2. Apply rules-based matches

    The matching engine suggests and applies matches automatically.

  3. Catch discrepancies

    Positive-pay and watchlist screening flag what a simple balance check would miss.

  4. Approve sensitive actions

    Higher-risk banking actions require a second person's sign-off.

Connected to the rest of AccountDesq

Nothing here works in isolation - it posts through the same ledger as everything else.

In practice

A business with a bookkeeper and a controller both handling banking imports a large batch of transactions after a busy week. The matching engine auto-applies the routine matches, leaving only the genuinely ambiguous ones for manual review, and row-level locking means the bookkeeper and controller can't accidentally overwrite each other's work on the same transaction.

What this means for your business

  • Far less manual line-by-line matching, since routine matches are handled automatically.
  • Discrepancy detection beyond a simple balance check.
  • Safe for more than one person to reconcile at once, without risking data corruption.

Frequently asked questions

Does AccountDesq connect live to my bank?

Not currently - reconciliation works from imported bank statements plus a rules-based matching engine, not a live open-banking feed.

What is maker-checker approval in reconciliation?

Certain banking actions require a second person's approval before taking effect, adding a safety check beyond a single user acting alone.

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