AI Agents for Bank Reconciliation
WorkAgentic builds AI agents for bank reconciliation that connect to your bank feeds and general ledger, match transactions daily, post matched items automatically, and surface unmatched items for your accounting team to review before they build up into a month-end problem.
Bank Reconciliation Automation
Six bank reconciliation workflows your team stops running manually
Each agent connects to your bank feeds and GL on a daily schedule. No manual statement downloads, no side-by-side comparison spreadsheets, no unmatched item backlogs growing through the month.
Daily Bank Feed Import
- Pulls prior-day bank activity from your bank feed each morning
- Connects via direct bank API, SFTP, OFX, or BAI2 file format
- Handles multiple bank accounts and currencies in a single run
- Bank data validated and normalized before matching begins
- Import runs automatically so no one needs to download a bank statement
Transaction Matching
- Matches bank transactions to GL entries using amount, date, payee, and reference
- Matching rules configured to your tolerance levels and GL structure
- One-to-one, one-to-many, and many-to-one matching all handled
- Matched transactions posted to your ERP without manual confirmation
- Match rate and unmatched volume tracked and reported daily
Exception Identification and Routing
- Unmatched transactions surfaced in the exceptions queue within 24 hours
- Each exception shows the transaction detail and closest GL match identified
- Exceptions categorized by type: timing difference, missing entry, amount variance, duplicate
- Routed to the correct team member based on account and exception type
- Your team resolves exceptions from a clean queue, not a bank statement printout
Multi-Account and Multi-Entity Reconciliation
- Reconciles multiple bank accounts against their respective GL accounts in a single run
- Multi-entity deployments handle separate GL structures per entity
- Multi-currency accounts reconciled with exchange rate applied per your defined rules
- Intercompany accounts handled with the appropriate elimination logic
- Controller sees a reconciliation summary across all accounts in one view
Month-End Reconciliation Close
- Produces a completed bank reconciliation workpaper for each account at period-end
- All matched and unmatched items documented with source references
- Outstanding items carry forward to the next period automatically
- Reconciliation package ready for controller review without manual compilation
- Bank reconciliation close task completed before month-end rather than during it
Audit Trail and Documentation
- Full matching history maintained for every transaction processed
- Supporting documentation linked from each reconciliation line item
- Exception resolution decisions recorded with date and approver
- Bank reconciliation audit file maintained throughout the year, not assembled at year-end
- Audit-ready reconciliation output produced for every account every period
How we deploy your bank reconciliation agent
Five structured steps from scoping to go-live. No disruption to your current ERP, bank connections, or month-end process.
Discovery and Systems Audit
Free 30-minute call. No preparation needed. We map your bank accounts, transaction volume, bank feed formats, ERP GL structure, and every manual step your accounting team runs for reconciliation. You walk us through it once.
- Bank account and volume inventory with effort per account
- Reconciliation automation opportunity scorecard
- Recommended matching rule architecture for your account types
Built Around Your Workflow
Your bank data is already arriving every day
WorkAgentic builds each bank reconciliation agent around the bank feeds and GL structure your team already uses. Your bank accounts, your ERP, and your matching rules are the foundation. We connect to them. Your accounting team works the same way, without the daily manual comparison.
NetSuite, SAP, QuickBooks Online, Xero, Sage Intacct, Oracle Financials, and any banking portal with structured data export
AI agents we have already built and deployed
Real deployments. Real outcomes. Each agent was built from scratch around the client's exact workflow.
Watch the Agent Work
See a bank reconciliation agent running live
A walkthrough showing how the agent pulls the prior-day bank file, matches transactions to GL entries, posts matched items to the ERP, categorizes unmatched items, and delivers the exceptions queue to the accounting team before they start work.
No commitment. We demo with a real accounting workflow, not a sandbox.
Start with bank reconciliation automation. Add more accounting workflows as your team grows.
WorkAgentic deploys bank reconciliation automation that imports bank feeds daily, matches transactions to your GL, posts matched items, and surfaces exceptions for your accounting team without any manual statement work.
Bank Reconciliation Agent
- Transactions matched to GL daily and posted automatically.
- Exceptions surfaced every morning before the team starts work.
Cash Flow Forecasting Agent
- Update cash forecasts using receivables and payables.
- Track expected inflows, outflows, and cash gaps.
FP&A Reporting Agent
- Create FP&A packs with KPIs and trends.
- Turn finance data into leadership-ready updates.
Variance Analysis Agent
- Compare actuals against budget automatically.
- Flag material changes before review meetings.
Budgeting & Forecasting Agent
- Update budgets and rolling forecasts faster.
- Compare assumptions, scenarios, and expected outcomes.
Financial Consolidation Agent
- Combine entity, region, and department finance data.
- Create one clean view for finance leadership.
Board Reporting Agent
- Prepare board-ready summaries, charts, and risks.
- Build clean packs for leadership meetings.
Scenario Planning Agent
- Test revenue, margin, hiring, and cost assumptions.
- Compare possible outcomes before decisions.
Management Reporting Agent
- Create recurring reports for department leaders.
- Show KPIs, financial trends, and action notes.
Spend Analysis Agent
- Review vendor spend and expense trends.
- Find cost changes and savings opportunities.
Related reading
How AI Agents Reduce Bank Reconciliation Errors
How agents match bank and GL activity, route exceptions and track aging.
Read the article →Controller Checklist: 10 Accounting Workflows to Automate
Which accounting workflows to automate first, and where human review should stay.
Read the article →Month-End Close Automation: How AI Agents Fix It
Why the close takes too long and how agents handle tasks, journals and approvals.
Read the article →Questions about bank reconciliation automation
Clear answers on how the agent imports bank data, matches transactions, handles exceptions, and supports month-end close.
Book a Discovery CallBank reconciliation automation is a process where an AI agent pulls your bank feed daily, matches each bank transaction to the corresponding entry in your general ledger, posts matched items automatically, and surfaces unmatched transactions for human review before they accumulate at month-end. WorkAgentic builds bank reconciliation agents for accounting teams who currently spend significant time at month-end manually comparing bank statements to the GL and tracking down differences that built up over the prior weeks.
The bank reconciliation agent matches transactions using amount, date, payee name, and reference number against open entries in your general ledger. Transactions that match within your defined tolerance rules are reconciled and posted automatically. Transactions that do not match are flagged with the closest available GL entry identified so your accounting team can review and confirm rather than search from scratch.
WorkAgentic bank reconciliation agents run on a daily schedule by default. The agent pulls the prior day bank activity each morning, matches transactions against your GL, and surfaces any unmatched items before your team starts work. Daily reconciliation means unmatched items are identified within 24 hours rather than discovered as a backlog at month-end.
Most bank reconciliation automation deployments go live within 2 to 4 weeks. The process covers bank feed connection, GL integration, matching rule configuration, exception routing setup, and a parallel pilot run where the agent reconciles live transactions alongside your manual process before the manual process is retired.
No. The agent handles the routine daily transaction matching that takes up most of the reconciliation workload. Your accounting team keeps responsibility for reviewing unmatched items, investigating discrepancies, approving reconciliation outputs, and closing the bank reconciliation each period. The agent handles the volume. Your team handles the items that need judgment.
Yes. WorkAgentic bank reconciliation agents are configured to handle multiple bank accounts, multiple currencies, and multiple legal entities in a single deployment. Each account reconciles against its own GL mapping, and the agent produces a reconciliation summary across all accounts so the controller sees the full picture without consolidating multiple manual reconciliations.
WorkAgentic bank reconciliation agents connect to bank feeds via direct API, SFTP file delivery, or OFX and BAI2 file formats. On the ERP side, the agent connects to NetSuite, SAP, QuickBooks, Xero, Sage Intacct, Oracle Financials, Microsoft Dynamics. No internal IT team is required for either connection.
Transactions that the agent cannot match automatically are surfaced in the exceptions queue with the transaction detail, the closest GL entry identified, and the reason for the mismatch. Your accounting team reviews and resolves each exception from this queue rather than hunting through the bank statement and GL side by side. Exceptions are surfaced daily so the backlog does not grow between runs.
Get Started
Ready to stop reconciling bank statements manually?
Book a free 30-minute audit. We map your current bank accounts, transaction volume, GL structure, and reconciliation process and identify where automation removes the most manual work first.
Book a Free Bank Reconciliation Audit →