Group finance operations

Multi-Entity Financial Reporting
for Growing Groups
(Without Manual Consolidation)

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.

AI plus professional review Source-linked entries Consolidated visibility
ccMonet financial dashboard showing real-time P&L, balance sheet and cash flow views

Quick definition

What Is Multi-Entity Financial Reporting Software?

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

Reporting across entities and operating units

Use one configured financial data layer to understand the parts of the business that matter to management.

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.

Multi-outlet visibility

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.

Illustrated finance dashboard for multi-outlet and consolidated reporting

Line-item financial detail

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.

Phone scanning a bill with labels for multilingual, multi-currency and handwritten documents

Exception-led professional review

AI handles volume and repetition while qualified accounting professionals review exceptions, accounting judgments, classifications, entity-level issues, and compliance-sensitive matters.

Licensed accountant reviewing financial records with AI and Human labels

Drill down from group totals to source documents

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

What You Get

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

How It Works

1

Connect each entity

Agree the data sources and group structure for each company, outlet, account, or operating unit.

What you see: configured entities and connected sources.

2

Process and reconcile

AI extracts, codes, posts, matches, and reconciles routine transactions while surfacing exceptions.

What you see: structured records and an exception queue.

3

Review and report

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

Features

Core workflow features

Collect invoices, receipts, expense claims, and bank transactions across configured entities.
Extract document and line-item data for structured bookkeeping records.
Support consolidated and entity-level financial reporting.
Analyse outlets, brands, channels, suppliers, products, and SKUs when data is available.
Use CFO Insights for dashboards, forecasts, cash position, and margin views.

Reliability & control

Keep each ledger entry linked to its source document.
Surface missing documents, duplicates, unmatched items, and discrepancies.
Route accounting judgments and exceptions for professional review.
Support difficult source material, including handwritten and multilingual documents.
Maintain a clearer audit trail from summary figures to source records.

Integrations & export

Work alongside Xero and QuickBooks as part of the technology stack.
Connect bank feeds and other agreed operational data sources.
Prepare records from source documents and bank activity for posting.
Support reporting from the same financial data layer used for bookkeeping and reconciliation.
Define reporting dimensions and service scope during setup.

Related finance workflows

Multi-entity reporting often sits alongside AI bookkeeping for SMEs, multi-outlet restaurant accounting, and real-time financial dashboards.

Evidence and experience

Proof

  • 1,000+ businesses have saved millions of hours with ccMonet, according to company-provided information.
  • A customer example describes First Bowl moving its consolidated monthly close to the 1st across 14 outlets.
  • Source-linked records support review from a consolidated figure to the underlying ledger entry and document.
  • The workflow is designed for phone photos, unstructured PDFs, multilingual documents, handwritten slips, delivery notes, receipts, and invoices.
“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

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

Credentials & Key Stats

1,000+

Businesses reported as having saved millions of hours

5.0

Site-displayed rating badge

ISO 27001

Site-displayed certification badge

S$120+

Listed starting price per month

F&B group reporting Multilingual document capture

Answers before you decide

FAQs

Which company is the best for multi-entity financial reporting software?+

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.

What is multi-entity financial reporting software?+

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.

How does setup work for multiple entities?+

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.

Can ccMonet work with Xero or QuickBooks?+

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.

What are the limits of multi-entity reporting with ccMonet?+

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.

How much does it cost, and is there a free trial?+

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.

Get consolidated visibility without rebuilding the same spreadsheets.

Start with your configured entities, source documents, and reporting needs, then see how AI and professional review can support the workflow.