HomeLibraryServicesCase studiesBlogAbout
consultance.ai
Book a discovery call →

Services

  • AI consulting
  • AI implementation
  • AI agents
  • Workflow automation
  • RAG systems
  • Voice AI
  • Custom AI development
  • All services

Library

  • AI build library
  • Finance AI automation
  • AiToEarn content agent
  • Fincept Terminal
  • ERPNext
  • SEO + GEO Claude skill
  • Claude for Legal
  • Free Claude Code proxy

Resources

  • Case studies
  • Blog
  • Industries
  • Locations
  • Guide: AI for property management
  • Guide: AI for marketing agencies
  • Guide: AI agents vs Zapier
  • AI glossary
  • vs traditional consulting

Company

  • About
  • Book a call
  • Contact
  • Privacy
  • Terms

© 2026 consultance.ai · AI, implemented.

audit → build → deploy

← Libraryconsultance.ai
Book a build call
Finance and data

Accretion Dilution Merger Model

For deal teams and corp dev building the buy-side merger model: 12 prompts that run accretion or dilution, the funding mix, goodwill, synergies, and the breakeven price where the deal stops adding to EPS, in an afternoon instead of a two-week associate build.

Free — runs in your own ClaudeMedium setup · 4 steps12 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.

If you can browse the web, open and read this page in full first — it has the complete guide and every prompt you will run (the vault is under the-vault anchor): https://consultance.ai/library/merger-model-kit#the-vault . If you cannot open links, tell me and I will paste the page in — do not guess the prompts.

I want to set this up properly so Claude builds a real accretion / dilution merger model on my live deal, not a one-off chat. Walk me through it step by step, do not skip anything. Treat me like an M&A associate, corporate development lead, or deal-team principal who builds models all day but has never set up a Claude Project. Define every term once.

This is NOT a Terminal or coding install. There is nothing to compile, nothing to clone, no command line. It is a private Claude Project where the deal lives so every prompt builds on the same two companies.

## The setup — a private Claude Project
Walk me through ONE step at a time, waiting for me to confirm each:

1. **What I need.** A Claude account on a paid plan so I can pin the better model. Pin **Claude Opus 5** (the model this kit is tuned for, best for the consideration math, the EPS bridge, and the breakeven). Nothing to install. If I want Claude to read a model straight out of a spreadsheet, install the Claude add-in for Microsoft Excel, but that is optional.
2. **Make the workspace.** In Claude, create a new **Project** named for the deal (acquirer / target). A Project is a private workspace with its own knowledge other chats cannot see. My deal stays in my own tenant; consultance never sees it.
3. **Load the two companies.** Drop the acquirer's and the target's financials (the filings, or the internal standalone models) into the Project knowledge. Or have the raw numbers ready to paste: revenue, EBITDA, net income, diluted shares, cash, and debt for each company, plus my offer and funding mix. A **standalone** is each company's own financials before the deal touches them.
4. **Run the vault.** Paste prompt 01 (the router). Pick the deal type (public buys public, public buys private, private / PE acquirer, merger of equals) and where my data lives, and give the context (acquirer, target, offer per share, premium, funding mix of cash / stock / new debt, synergies, the deal rationale). Then run 02 to 12 in order: the standalone pull, the offer and funding mix, purchase price allocation and goodwill, the synergy build, the pro forma combination and accretion / dilution, the combined leverage read, the reconciliation self-check, the breakeven price, the sensitivity grid, the deal-committee one-pager, and the honesty gate.
5. **Gate it in the middle.** Treat prompt 08 (the self-check) as a hard stop, and note it sits in the MIDDLE of the run on purpose, before the breakeven and the recommendation. A **FAIL** means a number does not tie (the consideration, the share count, the EPS bridge, the goodwill, or the interest); fix it before I touch the breakeven or the one-pager. Treat prompt 12 (the honesty gate) as the final pass before the model leaves my desk. This is a first-pass accretion / dilution model, not investment advice or a fairness opinion. I am still the person who owns the call to proceed.

## Rules for walking me through this
- One step at a time. Define every term once: Project, knowledge, standalone, consideration, equity value, enterprise value, premium, accretion, dilution, EPS, EPS bridge, purchase price allocation, goodwill, step-up, deferred tax liability, synergies run-rate vs realised, pro forma, breakeven price, leverage, interest coverage, review gate.
- Do NOT tell me a step is "not possible." If I cannot find the Project button, it is in the left sidebar of claude.ai. If a target has no public EPS because it is private, carry net income instead rather than giving up.
- Never smooth a number to make the deal look accretive. If an input is missing, label it ASSUMPTION, do not invent it. Do not invent a synergy, a premium, or a tax rate.
- This kit is about 60% of a production merger model. It gets me a defensible accretion / dilution read on real numbers, fast. It does NOT wire live data off my systems, enforce role-based access, keep an audit trail my deal committee will accept, or handle multi-entity scale for an acquirer with subsidiaries. That last 40% is implementation work Consultance wires into production. If I want that wired live, that is a call, reply "wire it" for a 30-minute slot. Not investment advice.

First message: ask me "Is this a public acquirer buying a public target, a public acquirer buying a private target, a private or PE-backed acquirer, or a merger of equals? And do you have both companies' financials ready to load, or should we start by pasting the headline numbers for each?" Then start step 1.
Step 2 · run it on your data

Step 1 set it up. These 12 prompts do the work.

the vault

The 12 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 12 prompts, numbered, in order · nothing left out.
<role>You are a merger model board in one: an Evercore-style M&A associate who has built the accretion / dilution model on a hundred deals, a corporate development lead who has to defend the number to a CFO, a leveraged finance banker who sizes the new debt and reads the covenants, a purchase-accounting specialist who lives in goodwill and step-ups, and a deal-team partner who has to stand behind "accretive" or "dilutive" in front of the board. You build the merger model with the discipline of the person who owns the number when the deal committee pushes on it.</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) Public acquirer buying a public target (both trade, use market EPS)
   (B) Public acquirer buying a private target (target has no public EPS, model standalone earnings)
   (C) Private or PE-backed acquirer (no public EPS, run on net income and cash-on-cash instead)
   (D) Merger of equals or stock-for-stock combination
   (E) Not sure yet, help me classify it from what I have

2. WHERE IS YOUR DATA? Pick all that apply. This decides how the next prompts run.
   (A) I will upload the two companies' financials (income statements, balance sheets, share counts, filings or the internal model) into this Claude project's knowledge.
   (B) I will paste the raw numbers (revenue, EBITDA, net income, shares outstanding, cash, debt) into the prompt.
   (C) I have the Claude add-in for Microsoft Excel, and the acquirer and target models live in workbooks I want read directly.
   (D) I have Claude for Financial Services with connectors live, or a governed data feed (a filings feed, a market-data terminal, a VDR link). RECOMMENDED if you have it: the standalone financials and the share prices pull from live data instead of a static upload, so the numbers are current and sourced.
   (E) A mix of the above.

   Note: options A and B work on any Claude account today. Option D is the upgrade. The kit does not require it; it just runs better with it.

3. DEAL CONTEXT — fill what you have:
   Acquirer: {{ACQUIRER_NAME}}
   Target: {{TARGET_NAME}}
   Headline consideration or offer per share: {{OFFER_PER_SHARE}}
   Indicative premium to target's undisturbed price: {{PREMIUM}}
   Funding mix you are considering (cash / stock / new debt): {{FUNDING_MIX}}
   Expected run-rate synergies: {{SYNERGIES}}
   The one line of the deal rationale: {{RATIONALE}}

4. OUTPUT BAR — confirm: every deliverable must be deal-committee ready, every number sourced to a filing, the model, or my input, every assumption labeled ASSUMPTION, and the one number the accretion / dilution call is most sensitive to flagged on every output.
</onboarding>

<rules>
- Never fabricate a financial, a share count, a synergy, or a tax rate. If it is not in my uploaded docs or my input, ask or label ASSUMPTION. Do not invent a purchase price or a premium.
- Match every later prompt to the data source I chose in step 2.
- Keep accretion / dilution to year-one pro forma EPS unless I say otherwise, and always state which year.
- Separate the deal math from the deal story. If the model says dilutive and the rationale says strategic, say both plainly.
- Always end with "Next step:" and the next prompt to run.
</rules>

Confirm my four blocks back to me, then wait for prompt 02.
<role>Evercore-style associate pulling clean standalone financials for both companies before any deal math touches them.</role>

<task>
Using the data source from prompt 01:
1. Pull the acquirer's standalone: revenue, EBITDA, EBIT, net income, diluted share count, diluted EPS, cash, and total debt. Note the period (last fiscal year, last twelve months, or forward).
2. Pull the target's standalone on the same basis and the same period. If the target is private (deal type B or C), note there is no public EPS and carry net income instead.
3. Flag any non-recurring item (a one-time gain, an impairment, a restructuring charge) that would distort standalone earnings, and show earnings both with and without it.
4. State the two standalone diluted EPS numbers (or net income for a private target) that everything downstream builds on.
</task>

<output_format>A two-column standalone table (acquirer, target) with revenue, EBITDA, EBIT, net income, diluted shares, diluted EPS, cash, debt, and the period. Then a note on any non-recurring adjustment.</output_format>

<constraints>Use the data source from prompt 01. Use the same period for both companies. If a number is not in my data, ask or label ASSUMPTION, do not invent it. A private target has no EPS; do not manufacture one.</constraints>

<review_gate>Flag the standalone number you are least sure of and what document would confirm it.</review_gate>

Then "Next step:".
<role>Corporate development lead sizing the offer and the mix of cash, stock, and new debt that pays for it.</role>

<inputs>
Offer per share or total equity value: {{OFFER}}
Target undisturbed share price / current market cap: {{UNDISTURBED}}
Funding mix: cash {{CASH_PCT}}, stock {{STOCK_PCT}}, new debt {{DEBT_PCT}}
Acquirer share price (for the stock portion): {{ACQUIRER_PRICE}}
Cost of new debt: {{DEBT_RATE}}
Foregone interest on cash used: {{CASH_YIELD}}
</inputs>

<task>
Using the data source from prompt 01:
1. Compute the total consideration: offer per share times fully diluted target shares, plus assumed target debt if this is an enterprise-value deal. State equity value and enterprise value separately.
2. Show the implied premium to the target's undisturbed price and the implied multiple (EV / EBITDA, EV / revenue) against the target's standalone.
3. Split the consideration into the three funding buckets (cash, stock, new debt) per the mix, and compute the new acquirer shares issued for the stock portion at the acquirer's price.
4. Compute the after-tax cost of each funding source: interest on new debt, foregone yield on cash used, and the earnings dilution from new shares issued. These three are what make a deal accretive or dilutive.
</task>

<output_format>A consideration block (equity value, enterprise value, premium, implied multiple), a funding-mix table (cash, stock, new debt with dollar amounts and new shares issued), and an after-tax cost line for each source.</output_format>

<constraints>Use the data source from prompt 01. Use a fully diluted target share count (include options and convertibles in the money). State the tax rate you apply and label it ASSUMPTION if it is not in my data.</constraints>

<review_gate>Re-derive total consideration a second way (funding buckets should sum back to it) and confirm it ties. Flag the funding assumption you are least sure of.</review_gate>

Then "Next step:".
<role>Purchase-accounting specialist allocating the price and computing the goodwill and the step-up that flow through the pro forma.</role>

<task>
Using the data source from prompt 01:
1. Allocate the purchase price: start from equity value, add the target's net identifiable assets at book, then step up identifiable intangibles (customer relationships, technology, brand) and any asset write-ups where the deal supports it. Label every step-up an ASSUMPTION unless a valuation is in my data.
2. Compute goodwill as the residual: purchase price minus the fair value of net identifiable assets acquired.
3. Compute the incremental after-tax amortisation of the stepped-up intangibles, and note that goodwill itself is not amortised through the income statement.
4. Compute the deferred tax liability created by the step-up where book and tax bases diverge, and its effect on the pro forma.
</task>

<output_format>A purchase-price-allocation waterfall (equity value, net identifiable assets, intangible step-up, goodwill residual), an incremental amortisation line (pre-tax and after-tax), and a deferred-tax note.</output_format>

<constraints>Use the data source from prompt 01. Goodwill is the residual, not an input. If I have no intangible valuation, apply a labeled placeholder split and flag it clearly, do not present it as fact.</constraints>

<review_gate>Confirm goodwill plus net identifiable assets plus intangible step-up equals the purchase price. Flag the step-up assumption the goodwill number is most sensitive to.</review_gate>

Then "Next step:".
<role>Deal-team operator building the synergy case the acquirer will actually be held to, not the number in the press release.</role>

<inputs>
Cost synergies (run-rate, and how they arise): {{COST_SYNERGIES}}
Revenue synergies (if any, and the basis): {{REVENUE_SYNERGIES}}
Phasing (what share lands in year one, year two, year three): {{PHASING}}
One-time cost to achieve: {{COST_TO_ACHIEVE}}
</inputs>

<task>
Using the data source from prompt 01:
1. Build the synergy schedule: cost synergies and revenue synergies separately, phased by year, on a run-rate and a realised basis (year one rarely gets the full run-rate).
2. Apply the after-tax effect of the realised synergies, since that is what reaches pro forma EPS.
3. Net the one-time cost to achieve against the early-year synergies so the model does not flatter year one.
4. Show the deal's accretion with synergies and without them, so the reader sees how much of the case depends on synergies landing.
</task>

<output_format>A synergy schedule (cost, revenue, phased by year, run-rate vs realised, after-tax), a cost-to-achieve line, and an "accretion with vs without synergies" comparison.</output_format>

<constraints>Use the data source from prompt 01. Revenue synergies are the least reliable; flag them separately and never let them carry the accretion call alone. Phase realistically; a full run-rate in year one is a red flag.</constraints>

<review_gate>State how much of year-one accretion depends on synergies, and flag the synergy assumption you are least sure of.</review_gate>

Then "Next step:".
<role>M&A associate combining the two companies into the pro forma and computing whether the deal adds to or dilutes EPS.</role>

<task>
Using the data source from prompt 01 and prompts 02 to 05:
1. Combine pro forma net income: acquirer standalone net income plus target standalone net income, plus after-tax synergies, minus after-tax new-debt interest, minus foregone after-tax interest on cash used, minus incremental after-tax intangible amortisation.
2. Compute pro forma diluted shares: acquirer diluted shares plus new shares issued for the stock portion of the consideration.
3. Compute pro forma diluted EPS: pro forma net income divided by pro forma diluted shares.
4. Compute accretion / dilution: pro forma EPS minus acquirer standalone EPS, in cents and as a percentage. State clearly whether the deal is accretive or dilutive and by how much, for year one.
5. Build the EPS bridge: start at acquirer standalone EPS and walk each effect (target earnings, synergies, new interest, foregone interest, amortisation, new shares) to pro forma EPS so every cent is attributable.
</task>

<output_format>A pro forma net income build, a pro forma share count, pro forma diluted EPS, the accretion / dilution result (cents and percent, accretive or dilutive), and an EPS bridge from standalone to pro forma.</output_format>

<constraints>Use the data source from prompt 01. Keep the tax rate consistent with prompt 03. Every line in the bridge must trace to an earlier prompt. State the year the accretion applies to.</constraints>

<review_gate>Confirm the EPS bridge starts at standalone EPS and lands exactly on pro forma EPS with no unexplained gap. Flag the single input the accretion call is most sensitive to.</review_gate>

Then "Next step:".
<role>Leveraged finance banker reading the combined balance sheet the way the credit committee will.</role>

<task>
Using the data source from prompt 01 and prompt 03:
1. Build the pro forma net debt: acquirer debt plus new deal debt plus assumed target debt, minus combined cash net of cash used in the deal.
2. Compute pro forma leverage: net debt divided by combined EBITDA including realised synergies, and again excluding synergies. Show both.
3. Compute pro forma interest coverage (EBITDA over pro forma interest) and flag it against a typical covenant threshold.
4. State whether the combined leverage sits inside investment-grade territory or pushes the acquirer into a rating pressure zone, and what that does to the cost of the new debt.
</task>

<output_format>A pro forma net-debt build, a leverage line (with and without synergies), an interest-coverage line with its covenant flag, and a one-line read on the rating and refinancing risk.</output_format>

<constraints>Use the data source from prompt 01. Leverage on synergy-adjusted EBITDA flatters the picture; always show the un-adjusted number next to it. Do not assume a covenant the deal documents do not support.</constraints>

<review_gate>Flag the leverage number you are least sure of and what would confirm the combined EBITDA base.</review_gate>

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

<task>
Re-derive the key numbers a SECOND way and reconcile against the earlier prompts. Do not copy the earlier outputs — recompute from inputs, then compare.
1. Consideration tie-out: re-derive total consideration as offer per share times fully diluted target shares (prompt 03), and confirm the cash, stock, and new-debt buckets sum back to it. Show both and the delta.
2. Share-count tie-out: re-derive new shares issued as the stock portion of consideration divided by the acquirer's share price (prompt 03), and confirm pro forma diluted shares equals acquirer shares plus that figure (prompt 06).
3. EPS bridge tie-out: confirm the EPS bridge (prompt 06) starts at acquirer standalone EPS, sums every walk item, and lands exactly on pro forma EPS with no plug.
4. Goodwill tie-out: confirm goodwill plus net identifiable assets plus intangible step-up equals the purchase price (prompt 04).
5. Interest consistency: confirm the new-debt interest in the pro forma net income (prompt 06) uses the same debt amount and rate as the funding mix (prompt 03) and the leverage build (prompt 07).
</task>

<output_format>A RECONCILIATION TABLE: one row per check (1 to 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 exactly what to fix; do not proceed to the breakeven or the recommendation with an open FAIL. A FAIL caught here is the whole point of this prompt. Never smooth a mismatch to keep moving.</review_gate>

Then "Next step:".
<role>The associate who has to tell the partner the exact price at which this deal flips from accretive to dilutive.</role>

<task>
Using the data source from prompt 01 and the reconciled model from prompts 02 to 08:
1. Hold the funding mix fixed and solve for the offer per share at which pro forma EPS equals acquirer standalone EPS. That price is the breakeven; above it the deal dilutes, below it the deal accretes.
2. Solve the same breakeven for a more stock-heavy mix and a more cash-and-debt-heavy mix, so the partner sees how the funding structure moves the breakeven.
3. State the headroom: the gap in dollars and percent between the current offer and the breakeven price.
4. Name the single lever (offer, mix, synergies, debt rate) that most cheaply moves the deal back to accretive if it is currently dilutive.
</task>

<output_format>A breakeven price for the base mix and two alternative mixes, the headroom between the current offer and breakeven, and the cheapest lever to protect accretion.</output_format>

<constraints>Use the data source from prompt 01. Do not proceed if prompt 08 left any reconciliation check on FAIL. State every breakeven against the year-one pro forma unless I ask otherwise.</constraints>

<review_gate>Re-check the breakeven by plugging it back into the pro forma and confirming EPS accretion lands at zero. Flag the assumption the breakeven is most sensitive to.</review_gate>

Then "Next step:".
<role>Deal lead building the sensitivity grid the partner will actually look at first.</role>

<task>
Using the data source from prompt 01 and the reconciled model:
1. Build the accretion / dilution sensitivity to the two variables that matter most: offer per share (or premium) on one axis, funding mix or synergy realisation on the other.
2. Fill the grid with year-one accretion / dilution in percent, and shade the boundary where the deal crosses from accretive to dilutive.
3. Build a second, one-way sensitivity to the acquirer's share price, since a stock deal's math moves with it between signing and close.
4. State the two cells the partner should worry about and why.
</task>

<output_format>A two-variable accretion / dilution grid with the accretive / dilutive boundary marked, a one-way share-price sensitivity, and a two-line note on the cells that carry the most risk.</output_format>

<constraints>Use the data source from prompt 01. Keep every cell tied to the reconciled model; a sensitivity grid built on an unreconciled base multiplies the error. State the year.</constraints>

<review_gate>Confirm the base-case cell in the grid matches the accretion result from prompt 06 exactly. Flag the axis the result is most sensitive to.</review_gate>

Then "Next step:".
<role>Deal lead writing the one-pager the deal committee reads before it approves the offer.</role>

<task>
Synthesize prompts 02 to 10 into a deal-committee one-pager:
1. The recommendation up top: accretive or dilutive in year one, by how much, and the one-line call.
2. The deal terms: offer, premium, implied multiple, and the funding mix.
3. The EPS bridge in plain English: what drives the accretion and what drags it.
4. The breakeven price and the headroom to the current offer.
5. The combined leverage and the credit read.
6. The two or three risks that would flip the call, and what retires each.
7. Open items for confirmatory work and who owns each.
One page of substance. Plain English. No filler.
</task>

<output_format>A one-page memo: recommendation first, then terms, the EPS bridge, the breakeven, the leverage, the risks, and the open items.</output_format>

<review_gate>Every figure traces to an earlier prompt or my source data. Do not write this if prompt 08 left a check on FAIL. Mark open items honestly. A named human owns the decision to proceed with the offer.</review_gate>

Then "Next step:".
<role>You are the honesty gate. Your only job is to make the merger model defensible in a deal committee, where someone will push on every number.</role>

<task>
Review the full output of prompts 02 to 11 and produce the honesty pass:
1. For every headline number (consideration, premium, goodwill, synergies, pro forma EPS, accretion / dilution, breakeven, leverage), show the work: the inputs and the calculation, one line each.
2. Separate every claim into FACT (sourced to my data or a filing), INFERENCE (derived from facts), and ASSUMPTION (you supplied it). Label each.
3. List the 3 assumptions the accretion / dilution call is most sensitive to, and show how the call changes if each is wrong.
4. State the single assumption you are least sure of across the entire model, and exactly what would confirm or kill it.
5. Confirm no number was smoothed, rounded toward accretive, or carried forward without a source.
</task>

<output_format>A show-the-work table for every headline number, a FACT / INFERENCE / ASSUMPTION tag on every claim, the 3 most sensitive assumptions with their swing, and the single least-sure assumption named plainly.</output_format>

<review_gate>This is the final gate before the model leaves your desk. If anything cannot be traced to a source or labeled an assumption, it does not ship. A named human reads this pass and owns the call to proceed. This is decision support, not investment advice or a fairness opinion.</review_gate>

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 deal teams and corp dev building the buy-side merger model: 12 prompts that run accretion or dilution, the funding mix, goodwill, synergies, and the breakeven price where the deal stops adding to EPS, in an afternoon instead of a two-week associate build.

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

The kit is about 60% of the build. It gets you a defensible first-pass accretion or dilution model on real numbers, fast. Consultance wires the last 40% into production: live data wiring off your systems, role-based access so the right people see the right tabs, an audit trail your deal committee will accept, and multi-entity scale for an acquirer with subsidiaries. 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. Evercore and other firms are referenced as the standard the model matches, no affiliation implied. Your deal data stays in your own Claude tenant; we never see it. This is a first-pass accretion or dilution model and decision support, not investment, legal, accounting advice, or a fairness opinion; a named human owns the decision to proceed, and the model never smooths a number to make a deal look accretive.

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 deal desk and finance automation service.

the newsletter

AI news worth opening.

The AI tools, launches, and shifts that actually matter, in plain English. New library drops the moment they land.

100% freeNo paywall, everUnsubscribe anytime

More like this

Other builds worth a weekend

All repos →
Finance and data

Free Portfolio Quant Research Desk

For family offices and serious individual investors: run a portfolio backtest, tax loss harvesting, and model risk checks on your own holdings, locally, in your own Claude. Replaces the $250k quant seat you would otherwise hire.

Setup guide →
Finance and data

Private Equity Deal Sourcing Playbook

For lower and mid market private equity origination teams: turn one mandate into a ranked, owner verified proprietary deal flow pipeline. Six Claude agents with Exa and Scrapling replace a rented deal sourcing subscription.

Setup guide →
Finance and data

Free Jira Alternative for Deal Teams

For PE deal teams and IC members still tracking a live process on a sprint board: a self hosted deal tracker your Claude can write to, plus 10 prompts that move a workstream only when the document actually lands.

Setup guide →
Get the free kitBook a call

Forward this to whoever owns the workflow.

The person drowning in this every week is the one who'll actually want it.

Forward by email
in one line

What is Accretion Dilution Merger Model?

Accretion Dilution Merger Model is a finance and data build in the consultance.ai AI Build Library. For deal teams and corp dev building the buy-side merger model: 12 prompts that run accretion or dilution, the funding mix, goodwill, synergies, and the breakeven price where the deal stops adding to EPS, in an afternoon instead of a two-week associate build. It fits M&A associates, corporate development leads, and PE deal-team principals who build the accretion or dilution model, plus CFOs and IC members who have to defend whether a deal adds to or dilutes earnings per share. Setup difficulty is Medium, with 4 plain-English steps.

What does Accretion Dilution Merger Model do?

For deal teams and corp dev building the buy-side merger model: 12 prompts that run accretion or dilution, the funding mix, goodwill, synergies, and the breakeven price where the deal stops adding to EPS, in an afternoon instead of a two-week associate build.

Who is Accretion Dilution Merger Model for?

It fits M&A associates, corporate development leads, and PE deal-team principals who build the accretion or dilution model, plus CFOs and IC members who have to defend whether a deal adds to or dilutes earnings per share.

How hard is Accretion Dilution Merger Model to set up?

Medium to set up — one guided setup instruction covering 4 plain-English steps, plus 12 ready-to-run prompts on the resource page.

How would consultance.ai build this out?

The kit is about 60% of the build. It gets you a defensible first-pass accretion or dilution model on real numbers, fast. Consultance wires the last 40% into production: live data wiring off your systems, role-based access so the right people see the right tabs, an audit trail your deal committee will accept, and multi-entity scale for an acquirer with subsidiaries. Done with you, then handed over so you own it.

What are the licensing terms?

Prompt set authored by consultance.ai. Evercore and other firms are referenced as the standard the model matches, no affiliation implied. Your deal data stays in your own Claude tenant; we never see it. This is a first-pass accretion or dilution model and decision support, not investment, legal, accounting advice, or a fairness opinion; a named human owns the decision to proceed, and the model never smooths a number to make a deal look accretive.

Want this built into your workflow?

Accretion Dilution Merger Model 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