aqmen

Use cases / Commercial due diligence

Commercial due diligence

Deliver a diligence like the best firms do, from market sizing to the final deck. Every number with its receipts.

Defensible
Any figure walks back to its document.
Fast
A working model on day one.
Consistent
The same frameworks, every time.
Reusable
The next deal starts where the last one ended.

01workstream

Research and data room

Public data, analyst figures, filings and expert calls land as tables that cite their documents. The data room stops being a folder and becomes a source you can query.

  • Every table cites the report or the call it came from
  • Columns explained, so the whole team reads them the same way
  • Reused across the workstreams, and the next deal

Data · with its sources

Firms and employment by size band

Size bandFirmsEmployed
Germany10–49415,2618,130,428
Germany50–24965,1816,354,318
Germany250+14,86217,482,691
France10–49166,8483,124,398
Cited¹Units and definitions on every column
  1. 1Eurostat, enterprise statistics by size class, 2021–2024. Official statistics.

02workstream

Market sizing

TAM, SAM and SOM built bottom-up from cited drivers, in a model you can open in Excel and defend in the room. Scenarios show what moves the market; a bridge shows what moved it.

  • Drivers at their native grain, adapted with the method stated
  • One expression per segment where the economics differ
  • A check that the total holds at the finest grain

Exhibit · market sizing

A $7.5B market, built bottom-up

Firms of 10–49 people buy a flat plan, so their branch is Customers × Plan price. Every leaf is a dataset with its source.

  1. 1Eurostat enterprise statistics, Germany, 2024.
  2. 2Eurostat ICT survey, average of 2023 and 2025. A proxy: read the split, not the level.
  3. 3Vendr purchase benchmark for 500+ employees, adjusted to Germany's price level.

03workstream

Competitive landscape

Every player on one grid, scored on the criteria that matter, every cell with its source. Shares are held against the sizing, so two numbers that disagree get loud early.

  • The same criteria for every player
  • A source behind every cell
  • Cross-checked against the market model

Competitive landscape

Every player on one grid

PlayerArchetypePricingPublished price
PersonioHR suitePer seatNot published
HiBobHR suitePer seat$6–15 a seat²
FactorialSMB corePer seatFrom €8 a user¹
WorkdayEnterpriseContractMedian $51K a year²
A source behind every cellHeld against the market sizing
  1. 1Vendor pricing pages, September 2026.
  2. 2Vendr purchase benchmarks; the vendor publishes no price.

04workstream

Business plan analysis

The target's P&L from drivers to EBITDA, history from the filings, the management plan as one scenario among others. Held against the market's growth, the plan shows where it outruns it.

  • Revenue as volume × price × mix, at the grain the business is run
  • Scenarios as named assumptions, not forked files
  • A bridge between two years: volume, price, mix, costs

Business plan analysis

EBITDA, 2024 to 2027

The plan assumes 14% a year. The market grows 5.7%: the plan outruns it.

  1. 1Illustrative target. Base case against the management plan.

Every assumption, audited

Where did that number come from?

Every assumption in a model has an origin: the table it was derived from, the method that derived it, the document the table cites. All of it is on the record, so the question in the room has an answer, and so does the same question a year later.

  • The method that derived a figure is stored with the figure
  • A confidence on every input, stated where it is a proxy or an estimate
  • Change a source and see everything it touches before you do

Every assumption · audited

What $1.67B rests on

AssumptionValueHow it was derivedSource
Adoption89.1%Average of the 2023 and 2025 surveysEurostat
Price per seat$107Vendor band price × price levelVendr, Eurostat
Employed17.5MAs publishedEurostat
Three of three traced to a documentConfidence stated where it is a proxy

The deliverable

Hand over the workspace, not a file.

The deck and the report still come out, in your house style. But the client can also join the workspace as a guest: read the pages, open the models, see every source, and ask the next question through their own assistant, with the data and the reasoning already there. Out as files, too: the report and the IC deck.

  • Guests read the pages, the models and the sources
  • Their assistant answers the next question from the same data
  • The deck and the report link back to the workspace

Shared with the client deal team

How big is the market, and where is it?

$7.5B1
HR-software market, 2024
55%2
in firms of 250+ people
+5.7%3
a year since 2021

By region, 2024 · USD billions

DACH2.9
Western2.1
Southern1.8
CEE0.4
Nordics0.3
  1. 1Eurostat business statistics and ICT survey; vendor list prices and purchase benchmarks.
  2. 2Bottom-up by size band. Adoption is a proxy: read the split, not the level.
  3. 3Prices held at today's list, so growth is all volume.
MRClient · Partner

What does that look like for mid-sized firms in Spain?

$0.24B in 2024: 23,000 firms of 50–249 people, 1.8 million seats at $134 a seat.

From the same model · Eurostat · Vendr

Where the work lives

A chat forgets. A workbook is alone. A workspace compounds.

A chatA spreadsheet agentaqmen
The dataPasted in, gone afterIn the workbook, from whereverTables with their sources, versioned
An assumption's originIn the transcriptIn a cell commentMethod, table and document, on the record
When a number changesAsk againFix the workbookEverything downstream is flagged
Who works on itOne personOne person, one fileThe team, and the client as a guest
The deliverableA messageA workbook and a deckA workspace to ask questions of, plus the deck
Next quarterFrom zeroFrom the last fileFrom everything already there

Built on

MCP first

Any assistant that speaks MCP works here. Bring the one you already pay for; we do not sell you an agent.

Open skills

The step-by-step practice is an open repository you can read, fork and improve.

Your tools, not our cage

Excel-compatible models, decks in your style, SQL if you want it. The right tool for each job.

Confidential

Private to your organization, never used to train models.

Run it in the app, or hand it to your assistant with the aqmen skills: one for every step, scope to delivery.

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