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AI costing prompts · By role

AI costing prompts for the CFO

You are asked to connect cost detail to strategy, the board and the capital plan, usually with less time than the question deserves. AI can give you a faster first draft of a profitability argument or a board narrative, but it cannot be the source of the numbers you defend in the room. These prompts let AI do the drafting while you keep the deciding.

In short

Use AI as a senior drafting partner, not a calculator of record. The prompts below help you frame which customers and products truly earn their return, prepare a board-ready profitability story, and stress-test a pricing move before you commit to it. Each forces the model to work only from figures you supply, to separate fact from assumption, and to surface what is missing, so the output is something you can interrogate rather than something you have to trust blind.

What a CFO should and should not ask AI to do

AI earns its place in the parts of your week that are about structure and articulation. It can turn a customer profitability table into a clear board narrative, frame the questions a capital decision should answer, draft scenario logic before you put real numbers in, and pressure-test a pricing rationale by playing devil's advocate. Used this way it compresses the time between having the analysis and being able to tell the story, which is often where the bottleneck sits.

The risk is using it as an oracle. Asking AI to "estimate our margin," "assume a market rate," or "tell me which segment is most profitable" without giving it your data invites a confident answer with no foundation, and at board level a wrong number is expensive in more than money. Keep three things firmly yours: the underlying data, the strategic judgement about what the numbers mean, and the final decision. AI drafts; you decide, and you sign.

Three prompts to start with

1. Read the real profitability of customers and products

Use this to turn a profitability table into a clear view of where return actually comes from. It builds on the customer profitability page.

You are a finance analyst helping a CFO interpret customer and product profitability. Work only from the data I give you. Do not invent any numbers or assume market figures. List every assumption, and label anything missing as DATA MISSING with what you need from me.

My data:
- Customers or segments with revenue, gross margin and cost-to-serve: [paste]
- Products or lines with revenue and contribution: [paste]

Steps:
1. Rank customers (or products) by net profit after cost-to-serve; show the calculation as a formula before the result.
2. Identify any that are revenue-large but profit-small or loss-making, citing the source row for each.
3. Separate clearly: what you calculated from my data, what you assumed, and what is your suggestion.
4. Pose the three strategic questions these results raise, without recommending an action I have not asked for.
5. Check that segment profits sum to the total I gave you and flag any discrepancy.

2. Prepare a board-ready profitability story

Turns analysis into a narrative the board can act on, with nothing overstated. See board reporting.

You are helping a CFO prepare a profitability section for a board pack. Work only from the figures I give you. Do not invent numbers or causes. If a movement needs an explanation I have not provided, ask me rather than guess.

My data:
- Profitability by segment, this period vs prior and vs plan: [paste]
- Confirmed drivers of any movement: [paste]
- The one decision I want the board to engage with: [state it]

Steps:
1. Open with the single most important fact from my data, stated plainly.
2. Show the two or three movements that matter, each with the variance as a formula.
3. Attribute causes only where I have confirmed them; otherwise write "cause to confirm".
4. Frame the decision and the trade-off, without inventing supporting figures.
5. Keep every number consistent with my data and flag anything that does not reconcile.

3. Stress-test a pricing move before you commit

Run the downside before the board does. Pairs with pricing decisions.

You are acting as a critical reviewer helping a CFO pressure-test a proposed pricing change. Work only from the data I give you. Do not invent elasticities, volumes or competitor prices. Where a figure is needed and missing, label it DATA MISSING.

My data:
- Current price, volume, unit cost and contribution for the line: [paste]
- The proposed price change: [state it]
- Any volume response I can evidence: [paste, or write "none confirmed"]

Steps:
1. Show the contribution impact at current volume as a formula, then the value.
2. Compute the break-even volume change that keeps total contribution flat; show the formula.
3. List the assumptions the case depends on and mark which are evidenced and which are not.
4. Argue the strongest case against the change using only my data.
5. State what additional data would make this decision safe.

The one rule

Work only from the data I give you. Do not invent any numbers, rates or volumes. Label anything missing as DATA MISSING and tell me what you need.

At board level the cost of a plausible fabricated number is high. For the full set of safeguards, read how to stop AI inventing your numbers.

Go further

Compare profitability across segments and periods

The three prompts above read profitability at a point in time. This one lines your segments up across periods, so you can show the board not just who is profitable but which way each one is moving. Run it once you have the same profitability figures for more than one period.

Profitability comparison across segments and periods

You are a finance analyst helping a CFO compare profitability across segments and over time. Work only from the data I give you. Do not invent any numbers or market figures. Show every formula before the value, and label anything missing as DATA MISSING with what you need from me.

I want to see not just which segments earn their return today, but how that has moved, so I can tell the board where profit is building and where it is eroding.

Step 1. Take the segments (customers, products or business units) with, for each: revenue, gross margin and cost-to-serve, for this period and at least one prior period. Use only the periods I provide.

Step 2. For each segment and period, compute net profit after cost-to-serve and net margin %, showing the formula first.

Step 3. Put the segments side by side in one table: segment | net margin % now | net margin % prior | change in points | net profit now | net profit change. Rank from best to worst current net margin.

Step 4. Read the movement. Name the one or two segments improving fastest and the one or two eroding fastest, citing the source rows. Point out any segment that is large in revenue but small or negative in net profit.

Step 5. Frame the single strategic question the board should engage with, and the trade-off behind it, without recommending an action I have not asked for or inventing a supporting figure.

Show every formula, present the comparison as a table, and list every assumption at the end in one block so I can correct it and have you rerun.

The comparison only holds when every segment is measured on the same cost-to-serve basis across periods. Change the basis and the ranking moves, which is the discipline a real profitability model enforces.

Go further

Build a board-level margin bridge

The comparison above tells you which segments moved. This one explains the move itself: it decomposes the change in net profit between two periods into price, volume, mix and cost-to-serve effects, so the board sees one bridge instead of four competing explanations. What you walk away with is a margin bridge you can put straight into the pack, plus a capital lens: what the movement did to the capacity you are paying for.

The margin bridge prompt

You are a finance analyst helping a CFO build a margin bridge between two periods for a board pack. Work only from the data I give you. Do not invent any numbers, rates or volumes. Show every formula before the value, and label anything missing as DATA MISSING with what you need from me.

I want one bridge from last period's net profit to this period's, decomposed so the board sees exactly where the movement came from, and what it means for the capacity we pay for.

My data:
- By segment (customer group, product line or business unit), for both periods: volume sold, average selling price, unit cost of goods, and cost-to-serve: [paste]
- Total net profit for each period, so the bridge can be tied out: [paste]
- Capacity context if I have it (practical capacity and minutes or hours consumed per period): [paste, or write "none"]

Steps:
1. Restate my data as one tidy table per period and confirm the two net profit totals foot from the rows. Flag any row that does not reconcile before going further.
2. Compute the four bridge effects, each as a formula before the value:
   - Price effect: (price now minus price prior) x volume now, by segment.
   - Volume effect: (volume now minus volume prior) x unit contribution prior, by segment.
   - Mix effect: the residual from segments growing or shrinking at different margins; show how you computed it.
   - Cost-to-serve effect: (cost-to-serve now minus prior) at current volume, by segment.
3. Present the bridge as one table: opening net profit | price | volume | mix | cost-to-serve | anything unexplained | closing net profit. The unexplained line must be shown, not absorbed.
4. If I gave capacity data, translate the volume movement into capacity terms: minutes freed or absorbed, valued at the capacity cost rate, so the board sees whether the profit move also changed what we pay for idle time.
5. Name the two bridge components a board would question first, citing the source rows. Do not attribute a cause I have not confirmed; write "cause to confirm".
6. End with every assumption in one block so I can correct it and have you rerun.

A bridge that does not tie out to the two net profit totals is a story, not a bridge. The unexplained line is the honesty check: if it is large, the segmentation or the cost-to-serve basis changed between periods, and that is the first thing to fix.

Turn it into a file

Make it a board-ready deliverable

The prompts on this page produce a profitability read in the chat. This add-on turns that read into something you can put in front of a board, an editable Excel model, a clean PDF section, or a short deck. Paste it after the profitability prompt once the numbers have run.

Now package this profitability analysis into a board-ready deliverable I can edit and present. Ask me which format I want, or default to PDF:

- PDF: a clean board-pack section, one-paragraph headline of where profit is earned and where it is eroding, the segment profitability table, one chart (net margin ranked, or the period-on-period movement), and an assumptions appendix. No chat formatting.
- PPT: 5 to 7 slides, the question, the profitability picture in one slide, the two or three movements that matter, the decision and its trade-off, what would make the decision safe, next steps.
- EXCEL: a working model, not a picture of one. Put revenue, gross margin and cost-to-serve for each segment and period on one clearly marked input sheet, and drive net profit, net margin and the period movement with live formulas, so when I change a figure the ranking and the summary update. Add a summary sheet with the table and a chart. Label every assumption cell.

Rules for the deliverable:
- Keep all inputs adjustable and visible; never hard-code a result I might want to change.
- Carry through every assumption and label illustrative figures as illustrative.
- Attribute a cause to a movement only where I have confirmed it; otherwise write "cause to confirm".
- Add a discreet footer or last-slide credit line, small and unobtrusive, exactly as written below.

Credit line to embed (use verbatim, in the document footer or final slide):
"Model scaffolding based on the CFO profitability prompts from costandprofitability.com/ai-costing-prompts/for-cfos"

Keep it to one small line; it should read as a quiet source note, not an advertisement.

The credit line is deliberately modest, a source note rather than a watermark, so the pack is comfortable to circulate to the board while the method stays traceable to where it came from.

A defensible story needs a defensible model

A good prompt sharpens how you tell the profitability story. It does not give you the reconciled, multidimensional model the story should rest on. That is what we build with finance leaders: customer and product profitability you can take to a board, a buyer or a lender and have it hold up under scrutiny. If the decisions are getting bigger, make sure the numbers underneath them are sound.

Book a profitability health check Back to all prompts

Related

Proof

A distributor in New Zealand. €1.335M of cost-to-serve made visible, then halved, and 830 loss-making customers brought down to 295.

Read the case study →

Who you would be talking to

Miguel Guimarães, Founding Partner

Cost and profitability practitioner for 25+ years. Presented the Damco cost-to-serve case at Managing for Profit (Amsterdam RAI, December 2009), on the same programme as Robert S. Kaplan.

Call +351 910 313 731

Workshops20-21 Oct · Online, ZoomReserve a seat

FAQ

Frequently Asked Questions

How should a CFO use AI in cost and profitability work?
As a fast analyst, not an oracle. It is well suited to structuring models, drafting commentary, and running scenarios, all under your data and your review. It is unsuited to sourcing facts or making judgement calls. Kept in that lane, it saves finance teams real time without putting the numbers at risk.
Is it safe to put company financial data into an AI tool?
Treat it as you would any external service. Check the provider data and retention terms, avoid pasting sensitive or personal data into consumer tools, and prefer an enterprise agreement where your inputs are not used for training. When in doubt, work with anonymised or aggregated figures.
What is the fastest win for a finance team adopting AI?
Drafting and structuring. Turning a rough set of figures into a clear model outline, or a variance table into readable commentary, saves hours each month with low risk. Start where a person reviews everything the model produces, prove the value, then extend to more involved work.
Will AI replace the finance function?
No. It changes the work rather than removing it. Routine drafting and reconciliation get faster, which frees the team for judgement, business partnering, and decisions the model cannot make. The finance leaders who benefit most use it to raise their teams output, not to cut it.
How do I know an AI profitability read is trustworthy?
By tracing it. A read you can defend shows every formula, separates what it calculated from what it assumed, and reconciles to the totals you gave it. If it cannot do those three things, it is a story, not an analysis. The prompts on this page are built to force exactly that discipline.
What is the difference between a prompt and the model you build?
A prompt sharpens how you tell the profitability story from estimated figures. The model we build in CostCtrl rests on your real financial data, reconciles to your accounts, and stays live after the project, so it holds up in front of a board, a buyer, or a lender. One drafts the story; the other is the evidence.
Miguel Guimarães

Reviewed by

Miguel Guimarães

Founding Partner, Cost and Profitability Consulting

More than 150 Time-Driven ABC engagements across 11 sectors since 2010, working within the Kaplan and Anderson framework.

About the author →
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