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Recon Detector

Free Reconciliation Error Detector

Surface reconciliation failure patterns and the process fixes for each. Focus your month-end close cleanup on the highest-impact breakpoints.

Pattern libraryProcess fixesClose-ready

Reconciliation diagnostic

Answer 10 questions about your reconciliation process.

How many systems are involved in reconciliation?
How often do you reconcile payouts?
How do you handle FX conversions?
Are provider fees captured separately?
How are transactions matched?
Do you reconcile status changes (pending, failed, reversed)?
How are chargebacks and refunds handled?
Are consistent reference IDs used across systems?
Do you batch payouts?
How do you handle exceptions?

Process diagnostic

Use this detector to surface likely reconciliation breakpoints and prioritize fixes before they become close-cycle issues.

One bank line, two hundred charges

Most close-cycle pain starts with a shape mismatch. Money arrives as a single settlement while the ledger is written per transaction. Say one deposit of $47,312.18 standing for 218 captures, 6 refunds and a fee the provider took on the way out. Nothing joins them until somebody pulls the settlement report and expands it. Until then the bank line matches no invoice, the invoices show as unpaid, and the difference between the gross the ledger expected and the net the bank received looks like a discrepancy when it is the fee doing exactly what the contract says.

The standing arrangement is a person, a spreadsheet and the last working day of the month. It functions, and what it costs is repeatability: the matching logic exists in one head, the exceptions are resolved by memory of what happened last time, and the evidence of a decision is a cell that used to be red. That model degrades quietly with volume. Two providers, three currencies and a refund window that crosses a month end turn a two-hour task into a two-day one, and the first sign is usually that the close slips by a day rather than that anything is wrong.

The residual is the part worth designing before it appears. Every close leaves a small difference nobody can attribute, and the failure is to leave it open. Set a threshold under which an unexplained difference is written off, name the account it goes to, require a reason code on each one, and review the codes quarterly rather than the individual amounts. A recurring $12 rounding difference on one provider is a configuration fix. The same $12 spread across forty reason-free write-offs is a control gap, and only the reason code tells the two apart.

Assumptions and sources

How a likely breakpoint is surfaced

Your answers add weights to six failure patterns and the heaviest ones are reported first. The weights were written for this page.

What it assumes

  • Six patterns are tracked: timing, FX, fees, duplicates, mapping and missing records.
  • Each answer contributes points to one or more of them, and the ranking is the sum.
  • All six patterns stay on screen with their scores, so a pattern that took no points shows a zero.
  • A question you skip contributes nothing, and the ranking moves as you answer the rest.
  • The copy button carries the top three patterns and their scores.

What it leaves out

  • Your actual ledgers. Nothing here reads a transaction or a statement.
  • Materiality, so a frequent small break can outrank a rare large one.
  • Cut-off and period-end policy, which is the usual source of timing differences.
  • Any published reconciliation benchmark or failure-rate dataset.

Where the numbers come from

Pattern weights
Our own assumptionHand-assigned point values written for this page so the answers order the patterns sensibly. No dataset stands behind them.
The six pattern definitions
Our own assumptionDrawn from common causes of unreconciled payout lines and written as a triage aid.

Assumptions and sources checked 5 September 2026. Published figures move on their own schedule, so confirm anything you rely on against the authority that issues it.

Process

How it works

  1. 01

    Describe the process

    Volume, rails, close cadence, team structure.

  2. 02

    Flag pain points

    Where the close cycle stalls or totals disagree.

  3. 03

    Match against patterns

    Tool maps inputs to known failure patterns.

  4. 04

    See the process fixes

    Ranked actions for the close next month.

Frequently Asked Questions

How are errors detected?+
The tool compares your process inputs to common reconciliation failure patterns.
Does this integrate with QuickBooks or NetSuite?+
Not directly. Use the detector to surface process breakpoints before you change ledger logic or controls in your accounting system.
Can I export the results?+
Yes. Use the copy top issues button.
Should I still audit my records?+
Yes. Use it to focus audit attention on the process gaps most likely to create close-cycle pain.
Is this financial advice?+
Treat it as a process diagnostic for finance ops teams, then validate the findings against your records and close controls.

Errors surfaced. Reconciliation rebuilt

Gruv's reporting and reconciliation module outputs provider references, status transitions, and ERP-ready feeds into QuickBooks, Xero, or NetSuite. Close stops being a monthly archaeology project.

Many teams start with a narrow launch in weeks.