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Finance and data

Commercial Due Diligence in Claude

A 9-prompt commercial due diligence build for PE deal teams and corp dev. Size the market, model revenue, run win-loss, and draft the IC-ready memo on your data room inside Claude.

Free — runs in your own ClaudeMedium setup · 4 steps9 ready-to-run prompts
Set it up free — takes 3 minutes ↓Or have us wire it in →
Step 1 · setup
Three minutes, four steps, nothing to install by hand

Claude sets it up for you. You just paste.

Never used Claude? It is free and takes 30 seconds to open. Copy the instruction below, paste it into Claude, and it reads this page and walks you through everything, one question at a time.

  1. 1

    Tell Claude how to talk to you

    One tap. It changes how much Claude explains, and how slowly it goes. You can change it any time.

  2. 2

    Copy your setup instruction

    A short instruction plus a link to this page lands on your clipboard. First copy asks for your email once. That unlocks every button across the whole library.

  3. 3

    Open Claude in a new tab

    Free account, no card, 30 seconds. This tab stays open so you can come back.

    Open claude.ai ↗
  4. 4

    Paste, send, and answer one question

    Claude reads this page, asks one question about your work, then guides you step by step until your first output is right. If anything looks wrong, tell Claude what you see, and it fixes it with you.

▸Prefer the full prompt instead of the link? (optional)
Click to copy
I am comfortable copy-pasting and following instructions, but I am not a developer.
There is nothing to install for this one and no commands to type: it all happens inside Claude. If any instruction below implies a Terminal, translate it into the equivalent click path for me instead.
- Plain English. Define jargon the first time it appears.
- One step at a time, then wait for me to confirm before the next one.
- Tell me what success looks like at each step, and diagnose any error before moving on.

Follow the instructions below with those rules applied.

I want to INSTALL the real setup so Claude runs my commercial due diligence on the actual data room, not just a chat demo. Walk me through it step by step, do not skip the install. Treat me like a deal-team associate or founder who has never built a Claude Project or installed an Office add-in, and define every term once.

This is NOT a Terminal or coding install. There is nothing to compile. It is two paths: a Claude Project for the documents (recommended for CDD) and an optional Excel add-in for the revenue build.

## Path 1 (RECOMMENDED for CDD) — a private Claude Project for the data room
This is where the CIM, financials, management plan, and customer data live so every prompt reads from one governed place.

Walk me through ONE step at a time, waiting for me to confirm each:

1. **What I need.** A Claude account. Pin **Opus 5**. Nothing to install for this path.
2. **Create the deal room.** In Claude, create a new **Project** and name it for the target. A Project is a private workspace with its own knowledge that other chats cannot see. Your data room stays in your own tenant.
3. **Load the data room.** Drop the CIM, financials, management plan, and customer/cohort exports into the Project knowledge. For a large VDR, summarize or export the key files; you do not need every appendix.
4. **Run the vault.** Run prompt 01, pick data source (A) upload, or (D) live connectors if your firm has Claude for Financial Services (see Path 3 — it is the strongest setup). Run 02 to 09 in order: market size, competitive teardown, revenue build, cohorts, management pressure-test, win-loss, the tie-out, the memo.
5. **Gate it.** Run prompt 08 (reconciliation self-check) before the memo. Any FAIL is a number to fix, not a footnote.
6. A named human owns the IC decision. Claude is the analyst.

## Path 2 (OPTIONAL) — Claude for Excel add-in for the revenue build
If I want the revenue model to live in real formulas:
1. In Excel (Microsoft 365 desktop or web): **Home** or **Insert** tab, **Add-ins** / **Get Add-ins**, search **"Claude"**, **Add**. Tell me where the button is in my version.
2. Sign in to the docked Claude side panel.
3. In vault prompt 01 choose data source (C) Excel add-in. For prompt 04 say "build the revenue model into my workbook as real formulas, tab by tab." The base and downside then recompute on their own.
4. Pin **Opus 5** for the model and memo.

## Path 3 (BEST, optional) — Claude for Financial Services for live market data
This is the upgrade. If your firm has Claude for Financial Services, the market sizing, competitive teardown, and comps pull from live data and filings instead of a static upload — current and sourced, in your own tenant.
1. Confirm your firm has Claude for Financial Services (the Anthropic finance offering with governed data connectors). If you are not sure, ask your admin whether the finance connectors are enabled; if not, Path 1 still runs the full pack on uploaded files.
2. Turn on the connectors you have: S&P Capital IQ, PitchBook, Daloopa, Morningstar, FactSet for market data and comps; your VDR (Datasite, Intralinks) for the data room.
3. In vault prompt 01 choose data source (D). The market and competitive prompts then pull live figures under governed access, each number sourced to the feed.
4. Pin **Opus 5**. A named human still owns the IC call.
This is optional. The pack does not require it; it just runs better with it.

## Rules for walking me through this
- One step at a time. Define every term once: Project, knowledge, connector, VDR, add-in, side panel, TAM/SAM/SOM, NRR, `<review_gate>`, `{{TOKEN}}`.
- Do NOT tell me a step is "not possible." If the Excel add-in is missing, check Excel for Microsoft 365, try Excel on the web, or AppSource. For the Project path there is nothing to install.
- Never paste a live data room into a public Claude window outside a Project. Use a Project with your tenant controls; respect each VDR and data provider's terms.
- A named human signs the IC memo. Claude builds and ties the numbers; a person owns the call.

First message: ask me "Path 1 (Claude Project for the data room, recommended) and do you also want Path 2 (Excel add-in for the revenue build)? And are you uploading files or pulling from a connector?" Then start step 1.
Step 2 · run it on your data

Step 1 set it up. These 9 prompts do the work.

the vault

The 9 prompts

Grab the whole pack as one file, or tap any prompt below to copy it on its own. Placeholders that look like {{THIS}} get swapped for your own numbers — and if you ran Step 1, Claude fills them in for you.

One .md file · all 9 prompts, numbered, in order · nothing left out.
Click to copy
<role>You are a commercial due diligence team in one: a strategy-firm Partner who has run 50+ CDDs, a PE operating partner, and a growth-equity analyst. You run market and customer diligence with the rigor of Bain, BCG, and L.E.K. deal teams.</role>

<onboarding>
Before any analysis, set up the engagement. Ask me to confirm each block. Offer the options. Do not assume.

1. DEAL TYPE — which is this?
   (A) Platform buyout
   (B) Growth / minority investment
   (C) Bolt-on / adjacency expansion
   (D) Corporate carve-out
   (E) Vendor / sell-side CDD

2. WHERE IS YOUR DATA? Pick all that apply. This decides how the next prompts run.
   (A) I will upload the data room (CIM, financials, management plan, customer data) into this Claude project's knowledge.
   (B) I will paste raw data (revenue by segment, customer list, pipeline) into the prompt.
   (C) I have the Claude add-in for Microsoft Excel — build the revenue model directly in my workbook.
   (D) I have Claude for Financial Services with the finance connectors live (S&P Capital IQ, PitchBook, Daloopa, Morningstar, FactSet) or a VDR connector (Datasite, Intralinks) — pull market data and filings directly under governed access. RECOMMENDED: this is the strongest setup. With Claude for Financial Services the market sizing, competitive teardown, and comps pull from live data instead of a static upload, so the numbers are current and sourced, not a snapshot.
   (E) Mix of the above.

   Note: options A and B work on any Claude account today. Option D (Claude for Financial Services) is the upgrade — if your firm has it, pick D and the market work runs on live data. The pack does not require it; it just runs better with it.

3. DEAL CONTEXT — fill what you have:
   Target: {{TARGET_NAME}}
   Sector / sub-sector: {{SECTOR}}
   Revenue / growth: {{REVENUE}} / {{GROWTH}}
   Thesis in one line: {{THESIS}}
   Hold and entry view: {{ENTRY_VIEW}}
   Fund / mandate: {{FUND_OR_MANDATE}}

4. OUTPUT BAR — confirm: every deliverable must be IC-ready, every market number sourced to a document, a public mark, or my input, every assumption labeled ASSUMPTION.
</onboarding>

<rules>
- Never fabricate a market figure or customer fact. If it is not in my docs or input, ask or label ASSUMPTION.
- Match every later prompt to the data source I chose in step 2.
- Separate the market view (defensible, sourced) from the thesis view (what management claims).
- Always end with "Next step:" and the next prompt to run.
</rules>

Confirm my four blocks back to me, then wait for prompt 02.
Click to copy
<role>Strategy associate building the market map.</role>

<task>
Using the data source from prompt 01:
1. Size TAM, SAM, and SOM bottom-up (units x price) AND top-down (industry total x share), then reconcile the two.
2. State the growth rate of each layer with the driver behind it.
3. Flag where the data room's market claim diverges from a defensible independent estimate.
4. Output the market model with every input sourced and every assumption labeled.
</task>

<constraints>Show both the bottom-up and top-down build. If they diverge more than 20%, explain why before picking a number.</constraints>

<review_gate>State the three assumptions the market size is most sensitive to.</review_gate>

Then "Next step:".
Click to copy
<role>L.E.K.-style consultant mapping the competitive set.</role>

<task>
1. Map the competitive landscape: who plays, relative share, and the basis of competition.
2. Position the target: where it wins, where it loses, and why.
3. Identify the two structural forces that decide who gains share over the hold period.
4. Rate the moat: durable, eroding, or none, with the evidence.
</task>

<constraints>Use the data source from prompt 01. Name a source for every share or positioning claim. Separate fact from management narrative.</constraints>

Then "Next step:".
Click to copy
<role>PE operating partner building the revenue model from drivers.</role>

<inputs>
Segments: {{SEGMENTS}}
Volume / price drivers: {{DRIVERS}}
Pipeline / backlog: {{PIPELINE}}
Management plan: {{MGMT_PLAN}}
</inputs>

<task>
1. Build the revenue model bottom-up from volume and price drivers per segment.
2. Reconcile your driver build to the management plan; quantify the gap.
3. Show the base case, plus a downside where the two riskiest drivers miss.
4. Identify the single driver the thesis most depends on.
If I am in Excel add-in mode, write it into the workbook tab by tab. Otherwise output clean tables.
</task>

<review_gate>State every assumption. Do not smooth the build to match the management plan — show the gap.</review_gate>

Then "Next step:".
Click to copy
<role>Growth-equity analyst running the customer diligence.</role>

<task>
From the customer data in my source:
1. Build retention and net revenue retention by cohort.
2. Quantify customer concentration (top 10 as a share of revenue) and churn risk.
3. Show the LTV-to-CAC picture if the data supports it; flag if it does not.
4. Surface the cohort signal that most supports or threatens the thesis.
</task>

<constraints>Use the data source from prompt 01. If cohort data is thin, say so and bound the uncertainty, do not invent retention curves.</constraints>

Then "Next step:".
Click to copy
<role>Strategy Partner pressure-testing the management case.</role>

<task>
1. Take the management plan apart line by line: which assumptions are supported, which are hope.
2. Compare the plan's implied share gain to what the competitive map (prompt 03) allows.
3. Build the realistic case: what the market and customer data actually support.
4. List the three questions for management that would resolve the biggest unknowns.
</task>

<constraints>Tie every challenge to a number from prompts 02 to 05. Rank the gaps by impact on the return.</constraints>

Then "Next step:".
Click to copy
<role>CDD lead running the demand-side check.</role>

<task>
1. From any win-loss, NPS, churn-reason, or expert-call data, synthesize why customers buy and why they leave.
2. Map the channel economics: how the target reaches customers and what it costs.
3. Identify the one demand-side risk that would most damage the thesis.
4. Draft an expert-call guide (10 questions) to close the biggest remaining gap.
</task>

<constraints>Use the data source from prompt 01. Separate evidenced findings from hypotheses to test.</constraints>

Then "Next step:".
Click to copy
<role>You are a diligence model reviewer. Your only job is to catch consistency and arithmetic errors before they reach the IC. You trust nothing; you recompute.</role>

<task>
Re-derive the key numbers a SECOND way and reconcile against the earlier prompts. Do not copy earlier outputs — recompute, then compare.
1. SOM tie-out: the SOM from prompt 02 = the target's modeled revenue (prompt 04) divided by its share. Confirm they imply the same market, show the delta.
2. Share consistency: the share gain in the revenue build (prompt 04) sits inside what the competitive map (prompt 03) allows. Flag if the model assumes share no competitor cedes.
3. Retention consistency: the churn used in the revenue build matches the cohort retention (prompt 05). Show both.
4. Growth bridge: revenue growth (prompt 04) = price effect + volume effect + mix; confirm it sums.
5. Downside coherence: the downside case (prompt 04) reflects the top risks from prompts 05 to 07.
</task>

<output_format>
A RECONCILIATION TABLE: one row per check (1–5), columns = check, value A, value B, delta, PASS/FAIL. Then a one-line verdict.
</output_format>

<review_gate>Any FAIL stops the process. Tell me what to fix; do not write the CDD memo with an open FAIL. A FAIL caught here is the whole point — never reconcile by assertion.</review_gate>

Then "Next step:".
Click to copy
<role>Deal lead writing the commercial due diligence memo.</role>

<task>
Synthesize prompts 02 to 08 into an IC-ready CDD memo:
1. Verdict and recommendation up top.
2. Market: size, growth, and where it is going.
3. Competitive position and moat.
4. Revenue build: base and downside, and the driver the thesis rests on.
5. Customer and demand-side findings.
6. Key risks, what would change the call, and open items for confirmatory diligence.
Two pages of substance. Plain English. No filler.
</task>

<review_gate>Every figure traces to an earlier prompt or my source data. Do not write this memo if prompt 08 left any check on FAIL — fix it first. Mark open items honestly. A named human owns the IC decision.</review_gate>

Then "Next step:".

Got the prompts. Want them wired into your actual stack? We map that on a free AI audit.

Book the free audit

Rent it forever, or own it once.

A 9-prompt commercial due diligence build for PE deal teams and corp dev

Path A · free

You just did it

The setup rail and every prompt above are free and stay free. The cost is your time, and the risk of wiring it wrong on live data.

Back to the prompts ↑
Path B · done with you

We wire it into your business

We would deliver a private deal room: the 9 prompts loaded into your Claude tenant, governed connectors to your VDR and market data, a revenue build wired to your model format, and partner review gates so no untied number reaches IC. Done with you, then handed over so you own it.

Book a build call →
data safety

Before you use live numbers

  • • Run last quarter's numbers first. Live data is not a test bed.
  • • Nothing here uploads to us. It runs in your own Claude account, on your own machine.
  • • A named human reviews and signs every output before it reaches a board, lender, or client.
  • • Mask account numbers and names to the minimum the task needs.
the fine print

Straight answers on ownership

Prompt set authored by consultance.ai. Bain, BCG, and L.E.K. are referenced as the standard the pack matches, no affiliation implied. Your deal data stays in your own Claude tenant; we never see it. Respect each VDR and market-data provider's terms before connecting live materials. A named human owns the IC decision.

Want this running in your business, not just your laptop? We build it and hand you the keys.

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Want this wired into your stack instead of running it yourself? That is our AI deal desk and finance automation service.

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What is Commercial Due Diligence in Claude?

Commercial Due Diligence in Claude is a finance and data build in the consultance.ai AI Build Library. A 9-prompt commercial due diligence build for PE deal teams and corp dev. Size the market, model revenue, run win-loss, and draft the IC-ready memo on your data room inside Claude. It fits PE and growth-equity deal teams, corp dev, and founders running acquisitions who want a strategy-grade commercial read without the $400K engagement or the six-week wait. Setup difficulty is Medium, with 4 plain-English steps.

What does Commercial Due Diligence in Claude do?

A 9-prompt commercial due diligence build for PE deal teams and corp dev. Size the market, model revenue, run win-loss, and draft the IC-ready memo on your data room inside Claude.

Who is Commercial Due Diligence in Claude for?

It fits PE and growth-equity deal teams, corp dev, and founders running acquisitions who want a strategy-grade commercial read without the $400K engagement or the six-week wait.

How hard is Commercial Due Diligence in Claude to set up?

Medium to set up — one guided setup instruction covering 4 plain-English steps, plus 9 ready-to-run prompts on the resource page.

How would consultance.ai build this out?

We would deliver a private deal room: the 9 prompts loaded into your Claude tenant, governed connectors to your VDR and market data, a revenue build wired to your model format, and partner review gates so no untied number reaches IC. Done with you, then handed over so you own it.

What are the licensing terms?

Prompt set authored by consultance.ai. Bain, BCG, and L.E.K. are referenced as the standard the pack matches, no affiliation implied. Your deal data stays in your own Claude tenant; we never see it. Respect each VDR and market-data provider's terms before connecting live materials. A named human owns the IC decision.

Want this built into your workflow?

Commercial Due Diligence in Claude is the starting point. On a free AI audit we map where it fits your stack and what consultance.ai would build around it.

This build comes from our AI consulting and AI implementation practice — see the full AI in finance guide and how we work with CFO teams.

Book your free AI audit