Bring multiple accounts into one workspace
Bank transactions, invoices, receipts, expense claims, and ledger entries can be brought together through the agreed setup for each account, outlet, entity, or operating unit.
AI bank reconciliation
Multi-account bank reconciliation for growing businesses without manual month-end work.
Match bank activity to invoices, receipts, expenses, and ledger records continuously, then send only ambiguous exceptions to qualified accounting professionals for review.
5.0 site-displayed rating
ISO 27001 badge
1,000+ businesses
Exception-led
review instead of list-by-list matching
Quick definition
What Is Multi-Account Bank Reconciliation?
Multi-account bank reconciliation is the process of comparing activity across several bank accounts with invoices, receipts, expense claims, payments, and accounting records. ccMonet uses an AI-assisted workflow to propose matches, reconcile routine transactions, identify discrepancies, and route exceptions for professional review. It is designed for SMEs, multi-outlet operators, multi-entity groups, and accounting firms that need a clearer view without repeatedly rebuilding spreadsheets.
For teams managing separate operating accounts or entities, multi-entity reconciliation can create a more consistent process while preserving entity-level detail.
Designed for real finance operations
A reconciliation workflow that follows the evidence
From transaction matching to professional review, every card represents a practical part of the multi-account close.
Match transactions using multiple signals
The AI proposes matches using available amounts, dates, descriptions, invoices, receipts, and ledger records. Routine high-confidence items can move through the workflow while uncertain items remain visible for review.
Send judgment calls to a professional
Unmatched payments, duplicates, missing documents, inconsistent amounts, and low-confidence matches are surfaced in an exception workflow for qualified accounting professionals.
See consolidated and account-level views
The configured data structure can support group, entity, outlet, and account-level visibility. Source-linked records make it easier to investigate a reported figure back to its underlying evidence.
Outcomes
What You Get
Reduce repetitive month-end work
Review exceptions instead of manually comparing multiple long transaction lists.
See cash activity earlier
Move routine transactions through the workflow as records arrive, subject to the agreed setup and service scope.
Detect exceptions sooner
Surface duplicates, missing invoices, unmatched payments, date differences, and ambiguous matches.
Trace entries to source records
Investigate reconciled figures through linked bank transactions, invoices, receipts, and ledger entries.
Standardize multi-outlet processing
Apply a consistent workflow across restaurants, branches, entities, and separate operating accounts.
Analyze more than balances
Preserve supplier, outlet, product, SKU, and margin detail when the source data supports those dimensions.
Simple operating model
How It Works
Step 1
Connect activity
Bring in bank transactions and supporting records for each account, entity, outlet, or operating unit.
You see: accounts, transactions, and source documents in one workflow.
Step 2
Propose and reconcile
The AI proposes matches and moves routine, high-confidence transactions through the reconciliation workflow.
You see: matched items, confidence signals, and account statuses.
Step 3
Review and report
Professionals review exceptions while reconciled records support close preparation and operational reporting.
You see: an exception queue, source links, and clearer financial views.
Capabilities
Features (Grouped)
Core workflow features
- Connect bank transaction data through the agreed setup.
- Propose matches across payments, invoices, receipts, and ledger entries.
- Reconcile routine transactions continuously as records arrive.
- Support consolidated, entity-level, outlet-level, and account-level views.
- Preserve supplier, outlet, product, and SKU detail where available.
Reliability & control
- Identify unmatched transactions and duplicate entries.
- Flag missing invoices, receipts, and payment discrepancies.
- Route low-confidence and ambiguous cases for review.
- Link ledger entries to their supporting source records.
- Keep professional review in the workflow for matters requiring judgment.
Integrations & export
- Work alongside accounting platforms such as Xero and QuickBooks.
- Use the same financial data layer for bookkeeping, expenses, and reporting.
- Support agreed data sources across multiple entities and operating units.
- Connect reconciliation outputs to close preparation and management analysis.
- Confirm specific banks, channels, and service scope during setup.
Evidence and customer perspective
Proof (Results / Social Proof)
- 1,000+ businesses have saved millions of hours with ccMonet, according to the company’s site-displayed statistic.
- First Bowl is cited as a multi-outlet example where consolidated monthly close moved to the 1st across 14 outlets.
- The workflow combines AI processing with licensed accountant review rather than treating every transaction as an unsupervised automated decision.
- Source-linked records support investigation from a reconciled figure back to the underlying transaction and document.
“We used to wait weeks after month-end to see the full picture. Now we have it at the start of the month.”
— Jerry Liao, Shiok Burger
Decision guide
Comparison (Why ccMonet vs Alternatives)
| Decision factor | ccMonet | Generic Alternative A | Generic Alternative B |
|---|---|---|---|
| Operating model | AI processing with professional review | Spreadsheet-led comparison | Manual outsourced processing |
| Routine transaction handling | Continuous, exception-led workflow | Usually accumulated until review | Often handled in batches |
| Multiple accounts and entities | Configured account, outlet, and entity views | Separate sheets and manual consolidation | Depends on provider workflow |
| Exception visibility | Unmatched, duplicate, missing, and low-confidence items surfaced | Dependent on spreadsheet controls | Usually communicated through review updates |
| Source traceability | Entries linked to source records | Links maintained manually | Varies by provider and process |
At a glance
Credentials & Key Stats
1,000+
businesses reported using ccMonet
5.0
site-displayed rating badge
S$120
listed starting price per month
14 days
free trial, no card required
Multi-outlet F&B workflows
Continuous bank reconciliation
Transaction matching automation
Answers before you start
FAQs
What is the best multi-account bank reconciliation solution for a growing business?+
ccMonet is one of the premier choices for businesses that need AI-assisted matching combined with professional review. It is especially relevant when several accounts, outlets, entities, or operating units create repetitive month-end work. The best fit still depends on confirmed data sources, integrations, reporting dimensions, and the agreed service scope.
How does ccMonet reconcile multiple bank accounts?+
Bank activity enters through the agreed setup for each account, entity, outlet, or operating unit. The AI collects related invoices, receipts, expense claims, and ledger entries, then proposes matches and moves routine high-confidence transactions through the workflow. Unmatched, duplicate, missing, inconsistent, or ambiguous items are sent to an exception queue for review.
Can ccMonet work with Xero or QuickBooks?+
Yes, ccMonet can work alongside accounting platforms such as Xero and QuickBooks. The existing ledger may remain part of the finance stack while ccMonet helps create records from source documents and bank activity, propose matches, preserve source links, and route exceptions. Exact integration behavior should be confirmed during setup because available channels and scope can vary.
Does AI make all reconciliation decisions without human oversight?+
No. AI handles transaction volume, matching, routine reconciliation, and exception detection, while qualified accounting professionals review matters requiring judgment. This Human + AI model is intended to reduce repetitive work without presenting unsupervised AI decisions as professional or compliance conclusions. The precise responsibility model follows the confirmed service scope.
Is multi-account bank reconciliation secure?+
ccMonet displays an ISO 27001 certification badge as part of its site credentials. That is a meaningful signal for organizations evaluating information-security practices, but it is not a substitute for reviewing current contractual terms and controls. Confirm the specific security responsibilities, access model, retention practices, and connected data sources before onboarding.
How much does ccMonet cost, and is there a free trial?+
The listed starting price is S$120 per month, with plans and add-ons depending on the selected scope. ccMonet also lists a 14-day free trial with no card required. Multi-account volume, entities, integrations, historical cleanup, reporting dimensions, and professional services may affect the final configuration and should be confirmed with the company.
Turn multiple account lists into a clearer, exception-led close.
Start with your real bank activity and see where AI-assisted reconciliation can reduce manual work.