Let Minded match transactions, surface exceptions, and keep every close moving without spreadsheet chaos.
Let AI Agent run your bank reconciliation
Reconcile Feed
"Reconcile last month for this QuickBooks Online client. Pull the connected bank feed, compare deposits and withdrawals to the ledger, and group exact matches first. Then match likely items by date, amount, payee, memo, and prior coding corrections. If the connected bank account is missing, ask me to connect it before starting. Pause before marking the account reconciled. Send a Slack digest with matched lines, unmatched lines, and any transactions above the firm’s materiality threshold. Ask me where the prior reconciliation report is stored if you cannot find it."
Draft Rules
"Review last month’s unmatched Xero transactions and propose bank reconciliation rules only where the same pattern appears more than once. Use the firm’s prior corrections as the starting point, not a generic vendor name rule. Show the rule condition, ledger account, confidence reason, and sample transactions in Google Sheets. If the vendor name could map to two accounts, ask me which rule should win. Pause and wait for approval before saving or applying any new rule. After approval, rerun the affected matches and report what changed."
Clear Exceptions
"Use this bank reconciliation example for the NetSuite client: find every unmatched deposit and withdrawal from last month, then separate timing differences, missing ledger entries, duplicate imports, and probable coding errors. Do not post journal entries. For each exception, show the bank line, candidate ledger line, reason it failed, and next action. Ask me for the firm’s materiality threshold before escalating. Send a Slack thread with high-risk items first, including stale checks, unexplained ACH activity, and transfers that cross bank accounts."
Approve Reconciliation
"Prepare the monthly bank reconciliation signoff for this Sage Intacct client. Confirm the beginning balance ties to the prior close, the ending bank balance agrees to the statement, and all reconciling items have support. Ask me where the close pack belongs in Google Drive. Pause before final signoff. Post the Slack summary only after approval. Include the preparer, reviewer, approval timestamp, rule IDs used, exception list, and links to support so the audit log is complete."
Up to 80% Lower Cost to Serve
Minded’s AI bank reconciliation agent is designed for accounting firms that need up to 80% lower cost to serve without lowering review standards. The savings come from fewer repeated clicks per client, not from skipping approvals.
Close speed matters because reconciliation gates the rest of the close. APQC reports a median monthly close cycle of 6.4 business days, while top-quartile organizations close in under 5 days, according to APQC’s monthly close benchmark.
Match Every Line, Every Period
Automated bank reconciliation should match every line it can explain, then stop where it cannot. The useful output is not a pretty percentage. It is a short exception queue that tells a reviewer exactly what needs a human decision.
For bank feed reconciliation, that means exact matches, learned matches, timing differences, duplicates, missing entries, and suspicious activity are separated before the reviewer opens the file. That structure keeps exceptions from becoming a second ledger.
Reconciliation That Learns Your Firm's Rules
Generic bank reconciliation software usually starts with global rules. A firm workflow needs client-scoped memory. The coffee shop client, the construction client, and the SaaS client may all have the same vendor string, but they do not always use the same account.
Per-client bank reconciliation rules should record who approved them, when they changed, and which transactions they matched. If a reviewer overrides a rule, the correction becomes training data for that client only.
How does Minded run automated bank reconciliation each close?
Minded compares bank feed activity against the ledger, proposes matches, identifies timing differences, and routes unresolved items to an exception queue. Your team reviews proposed matches and sign-offs before posting or closing. It supports feeds from Plaid, Finicity, and native ledger connections.
Can Minded suggest bank reconciliation rules without creating bad matches?
Yes. Minded can draft rules from recurring approved patterns, such as merchant names, amounts, accounts, classes, departments, and memo text. Rules stay reviewable before use, with context shown for each suggestion. This helps standardize matching while keeping the bookkeeper in control.
What is a practical bank reconciliation example for an accounting firm?
A client has multiple card deposits, payment processor fees, and transfers that do not line up cleanly with the ledger. Minded groups likely related items, explains the matching logic, flags missing entries, and prepares the reconciliation review so the close lead can approve exceptions faster.
Which bank reconciliation software and ledgers does Minded work with?
Minded is built to support accounting firms working across QuickBooks Online, Xero, NetSuite, Sage Intacct, and Zoho Books. It can use ledger data, bank feeds, and supporting workpapers to reconcile activity, surface mismatches, and keep the close workflow consistent across client portfolios.
Does Minded keep an audit log for monthly bank reconciliation review?
Yes. Minded records proposed matches, reviewer actions, comments, exceptions, approvals, and supporting documents. The audit log gives managers and close leads a clear trail of what changed, who approved it, and which items remained open at reconciliation sign-off.