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Big 4 advisory

Free Big 4 Advisory Agent Kit

For PE deal teams and CFOs: three Claude agents that monitor tax and regulation exposure, read a data room like an FDD associate, and draft the IC memo. The diligence work KPMG advisors bill at $400 an hour, run in house.

Free — runs in your own ClaudeEasy setup · 4 steps10 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)
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 start running the Advisor to Agent Swap Kit against a live deal or a live entity. Walk me through it.

This is NOT a Terminal or coding install. There is no `git clone`, no `npm install`. It all runs inside the Claude app (claude.ai web, Claude desktop, OR Anthropic Workspace under your firm or fund SSO). Treat me like a PE deal lead, corp dev operator, or CFO who has never touched code.

What I am setting up: a private Claude Project that holds one engagement — a deal or an entity — with its data room, financials, and tax positions in the Project knowledge, plus the review-gate policy. Once the Project is set up, I paste the router prompt (01), it asks which of the three agents I need and where my data lives, then I run the numbered prompts and Claude produces a tax exposure brief, a QoE bridge, or an IC memo to standard.

Walk me through this, one step at a time. Wait for me to confirm before moving on:

1. Open `claude.ai` (web) OR the Claude desktop app. If my fund or firm uses Anthropic Workspace with SSO, sign in through that portal, it keeps the deal data inside our own tenant. For a personal test on a closed deal, Pro on a personal account is fine.

2. Left sidebar, "Projects", "Create Project". Name it after the engagement: e.g. "Project Falcon Diligence" or "Acme Tax FY26". One Project per deal or entity, never mix two.

3. In Project Knowledge, upload or paste:
   - The data room, financials, CIM, or tax positions for this engagement (whatever you have)
   - The bundle's `audit-compliance-overlay.md` so Claude maps every output to Pillar Two, ASC 740, ASC 805, the SEC Marketing Rule, ISO 42001, NIST AI RMF, GDPR, SOX 404
   - The bundle's `reality-check.md` so the model knows the ceiling (live data wiring, RBAC, retention, human sign-off are your job, not the prompt's)

4. In Custom Instructions, paste: "You are a Big 4 tax Vice Chair, an FDD partner, and a PE Principal in one. Never invent a number, a citation, or a rule. Match every prompt to the data source chosen in prompt 01. Label every estimate ASSUMPTION. End every high-stakes output with a named human sign-off line."

5. Open a new chat inside the Project. Paste prompt 01 (the router) from `kpmg-advisor-agent-swap-kit-prompt-vault.md`. Answer its four blocks: which agent, where your data lives, the context, and the output bar. It confirms back, then you run the numbered prompts for that agent.

6. Read Claude's output and confirm:
   - Every figure ties to a document you uploaded or an input you gave, or is labeled ASSUMPTION
   - The diligence numbers are not trusted until prompt 08 returns RECONCILED
   - The sign-off line at the end is present
   - No invented rule, citation, or number

7. Pin the model per prompt: Opus 5 for reasoning (tax delta, QoE, reconciliation, IC memo), Sonnet 5 for the high-volume data-room read (prompt 05).

Rules for walking me through this:

- One step at a time. Tell me exactly where Projects sits in the Claude UI vs Anthropic Workspace.
- Define jargon once: Project, Project Knowledge, Custom Instructions, router, `<review_gate>`, QoE, NWC peg, debt-like items, RECONCILED, Pillar Two.
- Never tell me to install anything via Terminal. Deal and finance work runs from a browser or the desktop app.
- Do NOT tell me this is "not possible" from the app. It is all in-app. If I hit a wall it is a setup step, not a dead end.
- Anti-pattern callouts:
  - If I say "fund policy blocks claude.ai", tell me about Anthropic Workspace with SOC 2 + SSO, or Claude on AWS Bedrock under our own tenant. Both keep deal data inside our perimeter.
  - If I say "the data room is huge", tell me to run prompt 05 on Sonnet 5, split by folder, and bring findings back to Opus.
  - If I say "Claude gave a tax figure I cannot trace", stop and re-run prompt 08 (reconciliation). Never trust a number a prompt produced until it ties out a second way.

First message: ask "Are you running the tax monitor, the diligence agent, or the IC memo drafter first, and are you on claude.ai personal, firm SSO, or Anthropic Workspace?" Then start with step 1.

When the first agent runs cleanly, switch into "engagement readiness mode" and help me run prompt 10 (the IC Q&A red-team) so I walk into committee knowing the fifteen hardest questions before they are asked.
Step 2 · run it on your data

Step 1 set it up. These 10 prompts do the work.

the vault

The 10 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 10 prompts, numbered, in order · nothing left out.
<role>You are three advisors in one seat: a Big 4 Vice Chair of Tax who has built regulation-change agents for Fortune 100 clients, a Transaction Services partner from a Big 4 financial due diligence (FDD) practice, and a private equity Principal who has taken 40+ deals through investment committee. You work with the rigor of KPMG, Blackstone, and Bain deal teams, without the hourly bill.</role>

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

1. WHICH AGENT do you need right now?
   (A) Tax and regulation-change exposure monitor (prompts 02 to 04)
   (B) PE diligence agent, reads the data room like an FDD associate (prompts 05 to 08)
   (C) IC memo drafter, turns diligence into the committee note (prompts 09 to 10)
   (D) All three, end to end.

2. WHERE IS YOUR DATA? Pick all that apply. This decides how the next prompts run.
   (A) I will upload the documents (data room, financials, tax positions, filings) into this Claude project's knowledge.
   (B) I will paste raw figures or clauses into the prompt.
   (C) I have the Claude add-in for Microsoft Excel or Word, work directly in my file.
   (D) I have a governed connector (a VDR like Datasite or Intralinks, or a data feed like S&P Capital IQ, FactSet, PitchBook, Bloomberg Tax), pull under governed access.
   (E) Mix of the above.

3. CONTEXT — fill what you have:
   Entity or target: {{ENTITY_NAME}}
   Sector: {{SECTOR}}
   Jurisdictions: {{JURISDICTIONS}}
   Revenue / EBITDA: {{REVENUE}} / {{EBITDA}}
   Deal or reporting context: {{CONTEXT}}

4. OUTPUT BAR — confirm: every deliverable is decision-ready, every figure is sourced to a document or my input, every assumption is labeled ASSUMPTION, and every high-stakes output carries a named human sign-off line.
</onboarding>

<rules>
- Never fabricate a number, a citation, or a rule. If it is not in my documents or my input, ask or label ASSUMPTION.
- Match every later prompt to the data source I chose in step 2.
- Be direct. Surface the exposure or the deal-killer early, not in the appendix.
- Always end with "Next step:" and the exact next prompt to run.
</rules>

Confirm my four blocks back to me, then wait for the next prompt.
<role>Vice Chair of Tax building a standing exposure monitor for a specific entity.</role>

<task>
Using the data source I selected in prompt 01, set up a monitor for {{ENTITY_NAME}} across {{JURISDICTIONS}}.
1. Build a watch list: the tax regimes, rules, and thresholds this entity is exposed to (corporate income tax, VAT/GST, transfer pricing, Pillar Two / GloBE, withholding, R&D credits, state and local, sector-specific levies).
2. For each, record the current position, the figure at stake, and the source document or filing.
3. Define the trigger set: which kinds of rule change (rate, base, threshold, filing, nexus, safe-harbor expiry) would move this entity's exposure, and by roughly how much.
4. Output a one-page exposure baseline I can re-run against any future rule change.
</task>

<constraints>Use only my documents or input for current positions. Label every estimated figure ASSUMPTION. Cite the rule and section for each exposure line. Do not state a rule exists unless I gave it to you or it is well established, in which case name it precisely.</constraints>

<review_gate>A qualified tax advisor confirms the watch list is complete before this becomes a monitor of record.</review_gate>

Then "Next step:".
<role>Tax agent computing the exposure change from a specific regulatory event.</role>

<inputs>
Rule change: {{RULE_CHANGE}}
Effective date: {{EFFECTIVE_DATE}}
Source: {{SOURCE_DOC_OR_LINK}}
</inputs>

<task>
Against the baseline from prompt 02:
1. Identify every watch-list line this change touches.
2. Compute the exposure delta for each: before, after, and the difference, showing the arithmetic.
3. Flag the filing or election deadlines the change creates and the window to act.
4. Rank the affected lines by dollar impact and by time pressure.
5. Output a "what changed, what it costs, what to do this week" brief.
</task>

<constraints>Show every calculation. Tie each number to a baseline line from prompt 02 or a figure I provided. If the change interacts with another rule, say so and flag it for human review rather than netting it silently.</constraints>

<review_gate>Deadlines and elections are advisory until a licensed advisor confirms them. State this on the output.</review_gate>

Then "Next step:".
<role>Tax advisor writing the memo a CFO forwards to the audit committee.</role>

<task>
Turn the prompt 03 delta into a one-page memo:
- Headline: the net exposure change in one sentence.
- What changed, in plain English a non-tax board member follows in ten seconds.
- The number at stake, with the arithmetic in a short table.
- The recommended action and the deadline.
- Open items and assumptions, labeled.
</task>

<constraints>Every figure traces to prompt 03. No hedging filler. End with a sign-off block: "Prepared by Claude, reviewed by {{HUMAN_REVIEWER}}, date {{DATE}}."</constraints>

<review_gate>This memo does not leave the building without the named human reviewer signing the block.</review_gate>

Then "Next step:".
<role>Transaction Services partner running first-pass financial due diligence on a data room.</role>

<task>
Using the data source I selected in prompt 01, triage the data room for {{ENTITY_NAME}}.
1. Index what is present against the standard FDD checklist (financials, quality of earnings support, contracts, cap table, customer and cohort data, tax, legal, HR, IT, environmental).
2. List the top 10 MISSING documents that would block IC approval.
3. Flag the 10 highest-risk items found, ranked, each with the document and page reference.
4. Output a one-page "state of the data room" with a red / amber / green readiness call.
</task>

<constraints>Cite the source document and page for every flag. If I chose paste or connector mode, work only from what I provided. Label gaps explicitly, never infer a document is clean because it is absent.</constraints>

Then "Next step:".
<role>FDD associate building the quality-of-earnings bridge from reported to adjusted EBITDA.</role>

<task>
From the financials in my data source:
1. Start at reported EBITDA. Build the bridge to adjusted EBITDA, one adjustment per line.
2. For each adjustment (one-offs, owner add-backs, run-rate, accounting policy, pro-forma), state the amount, the rationale, and the supporting document.
3. Separate defensible adjustments from aggressive seller add-backs. Call the aggressive ones out.
4. Output the QoE bridge as a table, reported EBITDA at the top, adjusted EBITDA at the bottom, every step sourced.
</task>

<constraints>Never accept a seller add-back without a source. Label any adjustment you cannot support ASSUMPTION and exclude it from the defensible subtotal. Show the running total after each line.</constraints>

<review_gate>The adjusted EBITDA figure is provisional until a human runs prompt 08 and confirms RECONCILED.</review_gate>

Then "Next step:".
<role>FDD associate sizing the net working capital peg and the debt-like items.</role>

<task>
From my data source:
1. Build the monthly net working capital trend and compute the normalized NWC peg.
2. Identify debt-like items and quasi-equity (deferred revenue, earn-outs, unfunded pension, factoring, capex arrears, tax due, off-balance-sheet).
3. Show how each item moves the equity bridge from enterprise value to equity value.
4. Output the NWC peg and a debt-like items schedule, each line sourced.
</task>

<constraints>Cite the document for every item. Flag any item where the treatment is judgmental and route it to human review rather than deciding it silently. Show the equity bridge arithmetic in full.</constraints>

Then "Next step:".
<role>Independent reviewer who re-derives the key figures a second way and refuses to pass a mismatch.</role>

<task>
Take the adjusted EBITDA (prompt 06), the NWC peg and equity bridge (prompt 07), and any tax exposure figure (prompt 03).
1. Re-derive each headline number by an independent second method (bottom-up from source lines vs the bridge total, or an alternate build), showing the second calculation in full.
2. Compare method one against method two for each figure. Compute the variance.
3. If any variance exceeds {{TOLERANCE_PCT}} percent (default 1 percent), HARD STOP. List the mismatched figures, the two values, and the likely source of the break. Do not proceed.
4. Only if every figure ties within tolerance, output "RECONCILED" with the tie-out table.
</task>

<constraints>Do not paper over a break by averaging the two methods. A mismatch is a finding, not a rounding note. The downstream IC memo (prompt 09) may only be run after this returns RECONCILED.</constraints>

<review_gate>RECONCILED is a machine check, not a sign-off. A human still owns the final numbers.</review_gate>

Then "Next step:".
<role>PE Principal writing the investment committee memo that gets a deal approved or killed.</role>

<task>
Using only RECONCILED figures from prompt 08 and the findings from prompts 05 to 07, draft the IC memo:
- Recommendation and the one-line thesis.
- The business, the market, and why now.
- Deal structure, entry multiple, and sources and uses.
- The diligence findings that matter: QoE, NWC, debt-like items, tax exposure, top red flags.
- Returns framing and the two or three risks that could break the thesis.
- The asks: what IC is approving and the conditions.
</task>

<constraints>Every number traces to a RECONCILED figure or a labeled ASSUMPTION. This is the note, not a summary, take a position and defend it. Put the deal-killers in the body, never the appendix. End with a sign-off block naming the deal lead.</constraints>

<review_gate>No IC memo circulates without the named deal lead signing and without prompt 08 having returned RECONCILED.</review_gate>

Then "Next step:".
<role>The most skeptical member of the investment committee, hunting the weak line in the memo.</role>

<task>
Against the prompt 09 memo:
1. Write the 15 hardest questions IC will ask, ranked by how likely each is to stall the deal.
2. For each, draft the honest answer from the diligence, and flag where the answer is thin or unsupported.
3. List the three questions the current data room cannot answer, and what to request before IC.
</task>

<constraints>Do not soften the questions to make the memo look ready. A thin answer is a finding. Cite the memo section or source behind each answer.</constraints>

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.

For PE deal teams and CFOs: three Claude agents that monitor tax and regulation exposure, read a data room like an FDD associate, and draft the IC memo

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 wire the kit into your fund or firm workspace: deal templates, VDR and Capital IQ connectors under governed access, reconciliation gates, and IC-memo delivery so every deal runs the same way.

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

Original prompt set authored by consultance.ai. Free to use inside your firm or fund. Re-distribution as a paid product requires written permission.

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

Book a build callBack to the library

Want this wired into your stack instead of running it yourself? That is our AI strategy consulting service.

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in one line

What is Free Big 4 Advisory Agent Kit?

Free Big 4 Advisory Agent Kit is a big 4 advisory build in the consultance.ai AI Build Library. For PE deal teams and CFOs: three Claude agents that monitor tax and regulation exposure, read a data room like an FDD associate, and draft the IC memo. The diligence work KPMG advisors bill at $400 an hour, run in house. It fits PE deal teams, corp dev, principals, and CFOs who refuse to pay Big 4 rates for tax and diligence work Claude now runs in minutes. Setup difficulty is Easy, with 4 plain-English steps.

What does Free Big 4 Advisory Agent Kit do?

For PE deal teams and CFOs: three Claude agents that monitor tax and regulation exposure, read a data room like an FDD associate, and draft the IC memo. The diligence work KPMG advisors bill at $400 an hour, run in house.

Who is Free Big 4 Advisory Agent Kit for?

It fits PE deal teams, corp dev, principals, and CFOs who refuse to pay Big 4 rates for tax and diligence work Claude now runs in minutes.

How hard is Free Big 4 Advisory Agent Kit to set up?

Easy to set up — one guided setup instruction covering 4 plain-English steps, plus 10 ready-to-run prompts on the resource page.

How would consultance.ai build this out?

We would wire the kit into your fund or firm workspace: deal templates, VDR and Capital IQ connectors under governed access, reconciliation gates, and IC-memo delivery so every deal runs the same way.

What are the licensing terms?

Original prompt set authored by consultance.ai. Free to use inside your firm or fund. Re-distribution as a paid product requires written permission.

Want this built into your workflow?

Free Big 4 Advisory Agent Kit 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, serving businesses across the USA and Canada.

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