Finance operations · Illustrative walkthrough

Finance Exception & Reconciliation Workflows

Bring source records, matching rules, and accountable review together so finance staff can see what needs investigation before close.

Fictional scenarios. This is a proposed design, not a deployed client system or measured result.

The recurring problem

The matching is repetitive. The exceptions need judgment.

A team compares exports, marks possible matches, and passes unresolved items around in email. By close, the hardest part is knowing what has been checked and who is working on the remaining items.

A starting point for central finance teams at multi-location restaurant groups, distributors, and other businesses with recurring reconciliations or reporting handoffs. For a restaurant group, this could mean comparing approved POS settlement exports, bank deposits, and ledger records by location. We first check what your existing accounting system can already do before proposing a custom workflow.

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The proposed workflow

From incoming work to an accountable next step.

  1. 01

    Bring in approved records

    Use agreed exports or supported integrations. Preserve record identifiers, dates, and original source references so a reviewer can trace each item.

  2. 02

    Apply explicit rules

    Use documented matching rules for routine items. Optional AI assistance can summarize an exception, but does not invent missing values or accounting treatment.

  3. 03

    Queue the exceptions

    Surface unmatched records, duplicates, timing differences, and ambiguous matches. Assign owners and due dates, with a reason for each flag.

  4. 04

    Review and sign off

    A finance professional investigates, documents the resolution, and approves any adjustment in the system of record. Record what was changed and why.

A person owns the decision.

Finance staff own journal entries, reconciliation approval, and financial sign-off. The example never posts an adjustment or moves money automatically.

Try the thinking

What should happen to a possible match?

Open a scenario to follow the inputs, review decisions, and proposed response.

01 · One match satisfies the agreed rule
Fictional input
A fictional bank record and ledger item share the expected reference, amount, and date range.
Next step

Propose the match with the rule that matched it and links to both source records. Include it in the reviewer view.

Human checkpoint: The team confirms whether its policy allows this rule to clear routine items or requires individual approval.

02 · A possible timing difference
Fictional input
A ledger item is present, but the corresponding bank record has not arrived in the approved data feed.
Next step

Keep the item open with a timing-difference flag. Assign an owner and next check date rather than treating the absence as proof of an error.

Human checkpoint: The owner verifies the transaction status and decides whether further investigation is needed.

03 · Two candidates have the same amount
Fictional input
Two ledger records could match one bank record, and their references are incomplete.
Next step

Show both candidates and mark the match ambiguous. Stop automatic clearance; an identical amount alone is not enough.

Human checkpoint: A finance professional checks supporting records and approves the correct resolution.

Scope a first implementation

What could a pilot include?

These are proposed deliverables for this workflow. The agreed scope depends on your systems, access, and review requirements.

  • A map of one reconciliation or reporting workflow and its baseline.
  • Documented source inputs, matching rules, and exception categories.
  • A review queue with owners, source references, and decision history.
  • A pilot tested on routine matches, duplicates, missing records, and feed failures.
  • Operating instructions and a handover to the people running close.
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Bring the work into focus

Build a better starting brief.

Work through the process, the baseline, and the implementation questions with your team.

Get the opportunity workbook →

A real process will have its own systems, constraints, and exceptions. Use the workbook to turn this example into a concrete discussion about your operations.

Measure the change

Watch the queue age, the error rate, and the time spent.

Compare manual preparation time, exception age, unresolved items, and incorrect or missed matches against a baseline. Look at the quality of the review as well as its speed.

A faster reconciliation step does not guarantee a faster overall close. Reporting requirements, source quality, and other approvals can still determine the schedule.

Read about bank reconciliation automation →
Start with your workflow

What is still unresolved when close arrives?

Tell us where work gets stuck. We work across the U.S., remotely and on site.

Request a workflow review →