AI agentIntake-to-pay

AI payment reconciliation agent

An AI payment reconciliation agent compares payments recorded in the payables ledger with the lines on bank statements and the invoices each payment should settle.

  • People stay in control
  • Every action is logged
  • Start with a small sample
Bank statement lines
Ledger payment records
Payment batch details
Bank return notices
AI payment reconciliation agentPrepared for review
  • ✓Proposed match list
  • ✓Unmatched items with reasons
  • ✓Timing difference list
  • ✓Reconciliation summary
Handed toAccountant receives proposals to approve
5inputs it reads
6steps in the walkthrough
1point where a person decides
4outputs it prepares
See it run

Watch it work

Agent Record Person
Live walkthrough
  1. 1Read bank linesRecord
  2. 2Match exact pairsAgent
  3. 3Match grouped itemsAgent
  4. 4List the unmatchedAgent
  5. 5Accountant resolvesPerson
  6. 6Update recordsRecord

Bank statement lines and ledger payments are loaded.

The agent pairs lines by amount, date and reference.

It tests whether one bank line covers several payments.

Leftover items are listed with a likely reason.

The accountant approves matches and clears breaks.

Confirmed matches are logged for the close file.

The basics

What is an AI payment reconciliation agent?

It proposes matches, including one payment to many invoices, and explains the basis for each, such as amount, reference or date.

Read the full explanation

Anything it cannot match with confidence goes to an exception list with the likely cause noted.

Where it breaks

Why this step is hard by hand

Payments leave the ledger one way and reach the bank another, with different dates, references and sometimes different amounts. Matching them by hand is slow and the leftovers are the hardest part.

Bank descriptions rarely carry the invoice numbers used in the ledger.

One bank debit may represent dozens of payments, and nothing on the statement splits them.

Payments sent late in a period clear in the next, which looks like a mismatch.

Bank charges and currency conversion leave small differences that need a rule.

Reconciliations are rushed when everything is due at once.

The path

How the agent does it

  1. 01Load both sides

    The agent reads payments from the ledger and transactions from the bank statement for the period.

  2. 02Match the clear cases

    It pairs items on amount, date window and reference, and treats exact matches as proposed.

  3. 03Resolve groups

    For batch debits it looks for sets of payments that sum to the bank amount and shows the combination it found.

  4. 04Classify differences

    Remaining items are labelled as timing, fee, currency, missing entry or unknown, with the evidence shown.

  5. 05Hand over the file

    The agent prepares a reconciliation summary and the exception list for review, ready for sign-off.

Want to see this flow on your own items?

Bring a small sample and watch Flo work through it.

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Under the hood

Inside the work

AspectBy handWith the agent
Matching effortStaff tick off lines one by one on a spreadsheet.Agent proposes matches and shows the basis for each.
Batch paymentsOne bank debit for many bills is untangled by hand.Grouped payments are tested against the batch automatically.
Unmatched itemsBreaks are found at close and chased late.Breaks are listed daily with a suggested reason.
EvidenceWhy a pair was matched lives in the preparer's head.Each match carries its reference and amount comparison.
Review loadThe reviewer rechecks everything.The reviewer looks at proposals marked uncertain and at breaks.
People and control

Who decides, and what to watch

What stays with people

  • ✓
    Accept the matchesAn accountant reviews proposed matches and confirms them.
  • ✓
    Investigate unknownsPeople find out why a payment is missing, duplicated or the wrong amount.
  • ✓
    Approve adjustmentsJournal entries for fees or differences are posted by finance staff.
  • ✓
    Sign off the periodThe controller confirms the reconciliation is complete.

Mistakes to avoid

  • ×
    Forcing a matchPairing items by amount alone creates wrong matches that surface later.
  • ×
    Clearing small differences without a ruleUnexplained adjustments pile up in a suspense account.
  • ×
    Ignoring uncleared paymentsOld unpresented items can signal failed or fraudulent transfers.
  • ×
    Reconciling only at month endWaiting lets differences age until the cause is forgotten.

Not sure where payment reconciliation fits in your process?

Talk it through with the team. We will map it to your steps and show where a person stays in control.

  • Works from a sample of your real items
  • Shows what Flo handles and what it hands over
  • No commitment to start
Rollout

Rolling it out

  1. 1Single account

    Run one bank account in parallel with the manual reconciliation.

  2. 2Review all proposals

    Accountants check every proposed match until the basis is trusted.

  3. 3Add grouped payments

    Bring in batch debits and returns once simple matches are reliable.

  4. 4More accounts

    Extend account by account with sign-off kept as a person's task.

Signs you would benefit

Reconciliation takes days at closeMost of it is repeated ticking off.
Batch debits are a puzzleStaff rebuild them from bill lists.
Old breaks persistItems carry over month after month.
Reviewers cannot see why items matchedThey redo the work.
The numbers

How to measure it

Set your own baseline first. We do not publish benchmarks without a source you can check.
Metric 1

Payments matched without manual work

Auto-matched rate (%) =
payments matched and accepted without editstotal payments in period× 100

Watch the trend rather than a single month. A drop often follows a change in bank format or payment method.

  • Count only matches that reviewers accepted unchanged.
  • Track the age of open exceptions alongside the rate.
Questions

Frequently asked questions

Quick answers to what people ask most about payment reconciliation.

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What is payment reconciliation?

It is the check that payments recorded in your books match the money that left the bank and the invoices they were meant to settle. It catches errors, duplicates and missing entries.

How does the agent match one bank debit to many payments?

It tests combinations of payments that add up to the debit and presents the best fit with its working. A person confirms before it is accepted.

Does it post adjustments?

No. It proposes classifications and the entries that might apply. Finance staff post and approve adjustments.

What data does it need?

Payment records from your ledger and bank statement lines, plus invoice data. Better references in payments improve match quality.

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Try payment reconciliation on your own data

Bring a small sample of real items. We will show what Flo handles on its own and where it hands over to your team.

  • People approve, sign and pay
  • Every action is logged
  • Start with a small sample