Reconciliation Automation

Reconciliation automation that matches the records and leaves your team only the exceptions

Bank lines against the ledger, payments against invoices, supplier statements against your records, one system against another. If someone on your team ticks through two lists looking for differences, AI can do the matching and hand them only what doesn't add up.

Find What You Can Automate See how it works

Works with bank feeds, payment platforms, accounting software, ERPs and spreadsheets.

A common starting point within business process automation. Reconciliation is usually the last step of order to cash or procure to pay, and we can automate the whole process.

Reconciliation, automated

  1. Bank feed and ledger pulledEvery account, every morningSynced
  2. Transactions matchedAmount, date and referenceMatched
  3. Differences flaggedWith the likely reasonExplained
  4. Exceptions reviewedYour team approves the fixYour call

Anything unusual goes to your team to review first.

Your team is still ticking off lines by hand

It takes skilled people away from real work, and small mismatches grow the longer they sit.

  • Exporting bank statements and ledger reports into spreadsheets
  • Matching payments to invoices one line at a time
  • Chasing payments that arrive without a reference
  • Comparing supplier statements with what you've recorded
  • Checking that two systems agree, such as your online store and your accounting software
  • Leaving it all until month end, when differences are hardest to explain

Which reconciliations can be automated?

  • Bank reconciliation: bank feed to ledger
  • Cash and card transactions
  • Customer payments to open invoices
  • Supplier statements to your payables ledger
  • Payment platform payouts to orders and fees
  • Intercompany balances
  • Payroll and expense claims to bank payments
  • Stock counts to inventory records
  • One system to another: store, CRM, billing platform, ERP and ledger

If two sets of records are supposed to agree, it's worth asking. We'll tell you how much can be matched automatically before you commit.

How does reconciliation automation work?

  1. Collect

    Records are pulled from each source on a schedule: bank feeds, payment platforms, your accounting software, spreadsheets or exports.

  2. Match

    Rules match the straightforward items on amount, date and reference, including one payment that covers several invoices.

  3. Resolve

    AI handles the messy ones: a missing or mistyped reference, a customer with two names, fees taken out of a payout.

  4. Flag

    Anything that still doesn't match is flagged with the likely reason, such as a duplicate, a partial payment or a timing difference.

  5. Review

    Your team reviews the exceptions in one place, with both records side by side, and approves the fix.

  6. Post

    Approved matches and adjustments are posted to your system, and an up-to-date reconciliation report is ready whenever you need it.

Our process: Audit → Identify → Build → Integrate → Improve. How we work

Why matching rules alone leave a pile of exceptions

Most accounting software can match a payment when the amount and reference line up exactly. The time goes on everything that doesn't.

Rule-based matching compared with AI-assisted reconciliation
Rule-based matchingAI-assisted reconciliation
Exact amount and referenceMatchedMatched
Missing or mistyped referenceLeft for a personMatched on name, amount, date and context
One payment for several invoicesOften missedGrouped and matched
Fees or deductions taken outShows as a differenceSplit out and explained
Records in two different systemsExports and a spreadsheetPulled and compared automatically
How often it runsUsually at month endDaily, so differences are caught early

Your accounting software's bank rules keep doing the easy part. We automate everything around them, including the systems they can't see.

You stay in control

  • Human review where it matters.

    When the AI isn't confident, or the stakes are high, the item goes to a person to check before anything is posted.

  • Rules, not guesswork.

    We add validation checks (totals, formats, duplicates, matching against your records) on top of the AI.

  • A clear audit trail.

    Every automated action is logged: what came in, what was extracted, what changed, and who approved it.

  • Your data stays protected.

    We sign an NDA before we see your data, access is limited to what the automation needs, and we never use your data to train AI models.

  • Nothing is posted outside your rules.

    You decide what can be matched automatically, the tolerance for small differences, and which adjustments always need a person to approve them.

Works with your bank feeds and the finance systems you already use

We connect automation directly to your existing software, so your team keeps working the way they do now.

  • CRM
  • ERP
  • Accounting software
  • Email and shared inboxes
  • Databases
  • Spreadsheets
  • Document storage
  • Internal software
  • APIs
  • Communication platforms
  • Existing AI tools

No API? No problem. If your software can be reached, we can usually connect to it, and if it can't, we'll tell you before you spend anything.

Works with

  • HubSpot
  • Salesforce
  • Xero
  • QuickBooks Online
  • NetSuite
  • Microsoft 365 / Outlook
  • Google Workspace / Gmail
  • Slack
  • Microsoft Teams
  • SharePoint
  • Google Drive
  • DocuSign
  • Excel
  • Airtable
  • Monday.com
  • Zendesk
  • Power BI
  • Shopify

  • HubSpot
  • Salesforce
  • Pipedrive
  • Zoho CRM
  • Microsoft Dynamics 365

  • Xero
  • QuickBooks Online
  • Sage
  • NetSuite
  • Microsoft Dynamics 365 Business Central
  • MYOB
  • SAP Business One
  • Zoho Books
  • FreeAgent

  • Microsoft 365 / Outlook
  • Google Workspace / Gmail

  • Slack
  • Microsoft Teams
  • WhatsApp Business

  • SharePoint
  • OneDrive
  • Google Drive
  • Dropbox
  • Box
  • DocuSign

  • Excel
  • Google Sheets
  • Airtable
  • PostgreSQL
  • MySQL
  • Microsoft SQL Server

  • Monday.com
  • Asana
  • ClickUp
  • Jira
  • Notion

  • Zendesk
  • Freshdesk
  • Intercom

  • Power BI
  • Looker Studio
  • Tableau

  • Shopify
  • WooCommerce
  • Stripe

  • Zapier
  • Make
  • n8n
  • Microsoft Power Automate

  • ChatGPT / OpenAI
  • Claude
  • Microsoft Copilot
  • Google Gemini

Example: from a month-end scramble to a short daily list

Illustrative example

Before

An online retailer takes payments through two payment platforms and a bank account. Each payout arrives with fees deducted and dozens of orders bundled together. At month end, a bookkeeper spends days exporting reports and matching payouts to orders in a spreadsheet, and unexplained differences roll into the next month.

After

Payouts, orders and bank lines are pulled every morning and matched automatically, with fees split out and posted. The few items that don't match, such as a refund with no order reference, appear in a short review list with both records side by side. Month end becomes a final check instead of a project.

Reconciliation automation: common questions

What is reconciliation automation?

Reconciliation automation uses software to compare two sets of records that should agree, such as your bank statement and your ledger, match the items that line up and flag the ones that don't. With AI, it can also match items with missing references, different names or bundled payments, which is where most of the manual time goes.

Can you automate bank reconciliation?

Yes. Bank reconciliation automation is often the first reconciliation we automate: bank lines are pulled from your bank feed, matched against the ledger, and anything unmatched is flagged with its likely reason. Your accounting software's own bank rules keep working; we handle what they can't. Cash reconciliation automation works the same way for card terminals, tills and petty cash.

What about account reconciliation at month end?

Account reconciliation automation works the same way for balance sheet accounts. Clearing accounts, payment platform accounts, intercompany balances and suspense accounts are compared and explained automatically, so month end is a review of the exceptions rather than a rebuild of every account.

Can it reconcile supplier statements?

Yes. Supplier statement reconciliation automation compares each supplier's statement with your payables ledger and flags missing invoices, duplicates and payments that haven't been applied, so you can resolve them before you pay.

Is this reconciliation software?

No. It's automation built and connected for you, around the accounting software and bank feeds you already have. You don't have to choose, configure or maintain a new tool.

Will it post adjustments without us checking?

Only the ones you allow. You set the rules: which matches can be posted automatically, the tolerance for small differences, and which items always need approval. Every action is logged.

Is our financial data secure?

We sign an NDA before we see any data, use read-only access wherever we can, limit access to the accounts each automation needs, log every action, and never use your data to train AI models.

Which records is your team still matching by hand?

Tell us what needs to agree with what, and how often. We'll tell you how much of the matching AI can take on.

Find What You Can Automate

Free assessment. No commitment. If something isn't worth automating, we'll say so.

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