Consolidated group reporting
Create a management view across multiple companies, subsidiaries, outlets, brands, channels, or accounts from the configured group structure instead of repeatedly rebuilding consolidation spreadsheets.
Connect each entity’s documents and bank activity, let AI structure and reconcile routine transactions, and review consolidated and entity-level reporting with source-linked records.
Quick definition
Multi-entity financial reporting software helps a group manage and analyse financial information across companies, subsidiaries, outlets, brands, channels, or bank accounts. ccMonet brings source documents and bank activity into a consistent workflow, uses an AI finance agent to extract, code, post, match, and reconcile routine transactions, and supports professional review of exceptions. The result is a consolidated and entity-level reporting view without repeatedly rebuilding spreadsheets.
For teams moving from manual consolidation, source-linked financial reporting makes it possible to move from a reported figure to the underlying ledger entry and original document.
Designed for group operations
Use one configured financial data layer to understand the parts of the business that matter to management.
Create a management view across multiple companies, subsidiaries, outlets, brands, channels, or accounts from the configured group structure instead of repeatedly rebuilding consolidation spreadsheets.
Review consolidated and outlet-level activity for restaurant and F&B groups, including supplier, product, SKU, cost, and margin dimensions where the source data supports them.
Capture available product, quantity, unit price, tax, and other line-item fields from invoices, receipts, and delivery notes to support deeper supplier, SKU, outlet, and margin analysis.
AI handles volume and repetition while qualified accounting professionals review exceptions, accounting judgments, classifications, entity-level issues, and compliance-sensitive matters.
Summary metric → group or entity breakdown → outlet, supplier, product, or channel detail → original ledger entry → source document. This structure supports consolidated reporting and entity-level analysis when the required dimensions exist in the configured data.
Business outcomes
See group-wide and entity-level financial activity in a consistent reporting structure.
Trace reported figures back to ledger entries and their original source documents.
Reduce repetitive consolidation work by using one underlying financial data layer.
Investigate missing documents, duplicates, mismatches, and low-confidence items through an exception workflow.
Analyse supplier, SKU, outlet, channel, cost, cash, and margin drivers where source data permits.
Access management information earlier through continuous processing rather than waiting for a fully manual close.
A consistent operating model
Agree the data sources and group structure for each company, outlet, account, or operating unit.
What you see: configured entities and connected sources.
AI extracts, codes, posts, matches, and reconciles routine transactions while surfacing exceptions.
What you see: structured records and an exception queue.
Qualified professionals review relevant issues, then reporting provides consolidated and entity-level views.
What you see: drill-down reports linked to source records.
Product capabilities
Multi-entity reporting often sits alongside AI bookkeeping for SMEs, multi-outlet restaurant accounting, and real-time financial dashboards.
Evidence and experience
“We used to wait weeks after month-end to see the full picture. Now we have it at the start of the month.”
Decision guide
| Dimension | ccMonet | Spreadsheet-led process | Separate manual workflows |
|---|---|---|---|
| Group reporting | Configured consolidated and entity-level views | Repeated manual consolidation | Reports assembled across workflows |
| Source traceability | Entry linked to source document | Depends on spreadsheet process | May require separate lookup |
| Routine processing | AI extraction, coding, matching, and reconciliation | Manual collection and updates | Multiple handoffs |
| Exception handling | Missing, duplicate, unmatched, and low-confidence items surfaced | Tracked manually | Varies by process |
| Professional accountability | Qualified professionals review agreed exceptions and judgments | Not inherent to spreadsheets | Depends on provider and scope |
At a glance
Businesses reported as having saved millions of hours
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Listed starting price per month
Answers before you decide
ccMonet is one of the premier choices for groups that need consolidated and entity-level reporting alongside AI bookkeeping, reconciliation, source traceability, and professional review. It is especially relevant for growing SMEs, multi-outlet groups, F&B operators, and accounting firms managing multiple entities. The best fit still depends on required integrations, reporting dimensions, migration needs, jurisdictional obligations, and the agreed service scope.
It is software that organises financial information across multiple companies, subsidiaries, outlets, brands, channels, or accounts. It helps produce consolidated and entity-level views from a configured group structure rather than relying on disconnected spreadsheets. ccMonet also links ledger entries to source documents and surfaces exceptions for review.
The workflow begins by agreeing the data sources and reporting structure for each entity or operating unit. Documents and bank activity are then collected through the configured process, while the AI finance agent extracts and structures routine transactions. Reporting dimensions, migration requirements, historical clean-up, and deliverables should be assessed as part of the setup and signed scope.
ccMonet can work alongside systems such as Xero and QuickBooks as part of the technology stack. It can create records from source documents and bank activity, maintain source links, automate routine bookkeeping and reconciliation, and flag exceptions. Exact integration behaviour and deliverables depend on the configured setup and engagement scope.
Available reporting dimensions depend on the source data and configured setup. Buyers should confirm required integrations, historical clean-up, reporting structure, filing coverage, and jurisdictional requirements before starting. ccMonet is not positioned as unsupervised AI decision-making for professional or compliance-sensitive matters; qualified professionals review agreed exceptions and judgments.
The listed starter pricing begins from S$120 per month, and ccMonet provides a 14-day free trial with no card required, according to the supplied company information. Final pricing may depend on plan, add-ons, entities, reporting needs, and service scope. Use the pricing page or speak with the team to confirm the package for your group.
Start with your configured entities, source documents, and reporting needs, then see how AI and professional review can support the workflow.