Platform

Files in,
the finance pack out.

From the exports your systems already produce to the monthly finance pack and a data room, in one build on your own machines.

How it works

One month's data, from the exports to the pack

Five stages, every month: the exports arrive, land in the data room, read through one mapping, go through one build and come out as the pack.

YOUR ENVIRONMENT 01 · SOURCES 02 · DATA ROOM 03 · ENGINE 04 · OUTPUT Accounting Trial balances, open items HR & Payroll Headcount, salaries, movements Time Tracking Operational hours CRM Sales pipeline Client Data Historical revenue by client Cost Centres Structure & assignments The Data Room Every file in its right place 1-Financial 3-HR-Workforce 5-Commercial More as needed Engine On premise · one build Parse the intake Apply account mapping Consolidate + FX Eliminate intercompany Compute every KPI HTML Report Opens in any browser Excel Workbooks Live formulas PowerPoint Decks Board and M&A Data Room Checklist Completion auto-detected Generated files are filed back: management accounts per entity, exports
1 · What goes in

The exports your systems already make

Accounting, HR, time tracking and the CRM already export what the pack needs. There is no connector to build and no new software for the team.

The operator app: the entities, and the file kinds each company delivers
2 · The data room

Every file in its place

Each export has its folder and its name. The data room is the working structure from the first month, and the record a buyer, a bank or an auditor opens later.

  • 1-Financial
  • Entity A · Entity B · Group
  • Trial balances
  • Management accounts
  • Quality of earnings
  • 3-HR-Workforce
  • Headcount · payroll · roster
  • 5-Commercial
  • Revenue by client · pipeline
  • … built as part of the work
3 · The mapping

Every account mapped once, to one standard chart

Each company's chart of accounts is mapped once in the mapping wizard. From then on every month reads the same way, across entities and years.

The mapping wizard
4 · The build

A late booking is a rebuild, not rework

The engine reads the data room on your machine. A run takes about four seconds per company, so a late correction is simply one more, and every page and workbook follows. Each run, by the same rules:

  1. Read the intake
  2. Apply the account mapping
  3. Consolidate, with FX
  4. Eliminate intercompany
  5. Compute every KPI
5 · What comes out

The pack, the workbooks, the decks and the room

Every build writes the full report, the Excel workbooks, the board and M&A decks and the data room checklist, and files them back into the room. Each reader opens a sealed copy with their own views.

Every month

4 steps a month

  1. 1The files land the exports reach their place in the data room
  2. 2Build one click in the operator app
  3. 3Filed reports and workbooks land in their data room folders
  4. 4The review the month's figures read together, decisions taken
Recap

What goes in, what comes out

What goes in

Trial BalancesThe books of every entity, from the accounting system it already uses
monthly
Receivables and PayablesWhat clients owe and what is owed to suppliers
monthly
HR and PayrollThe team, as HR already keeps it
monthly
HoursTime, as the team already records it
monthly
Sales PipelineThe deals the CRM already tracks
monthly
Client DataRevenue by client
monthly
Cost CentresHow the company organises its costs
on change
FX RatesFor groups that trade in several currencies
monthly

What comes out

HTML ReportThe full interactive pack
any browser
Excel WorkbooksSummary and detail, live formulas
Excel
PowerPoint DecksThe board deck and the M&A deck
PowerPoint
Data Room ChecklistWhat is in the room, item by item
any browser
8kinds of export, from the trial balance to the pipeline
1build for the complete monthly pack
0figures rebuilt by hand between the report, the workbooks and the data room
19 · 80+views and KPIs, per entity and consolidated
What it needs from you

The reports are as good as the numbers going in

CFO Foundry reads the books as they are kept. Behind every view there is good practice inside the company:

Chart of Accounts

Kept deliberately and structured so the reports can read it.

Bookings

Handled so one month compares to the next: accruals monthly, conventions agreed with the Steuerberater.

Data Ownership

HR, hours, pipeline, client data and cost centres, each with an owner who delivers in a defined shape.

Handover Paths

A defined way data leaves your systems and reaches its place in the data room, month after month.

That is finance work; the set-up puts it in place.