AI costing prompts · By role
AI costing prompts for the CEO or founder
You run the business and you carry the profit question in your head, but you may not have a finance team to answer it. The instinct that "we are busy but it does not feel like it is paying" is usually right, and usually points at a few customers or products quietly losing money. AI can help you get plain-language answers from the numbers you do have, as long as it never makes any of them up.
In short
You do not need accounting jargon to find out which customers and products actually make money. The prompts below help you spot your most and least profitable customers, understand what it really costs to serve them, and check whether your prices cover the work involved. Each one is written so the AI works only from figures you paste in, explains itself in plain language, and tells you what it cannot answer rather than inventing a number that sounds right.
What a founder should and should not ask AI to do
AI is genuinely helpful when you have the raw figures but not the time or the training to turn them into a clear answer. Paste in your customer revenue and a rough sense of the effort each one takes, and it can rank them, explain in plain words why the big ones are not always the best ones, and translate "cost-to-serve" out of consultant-speak. It is a patient analyst that will walk you through the logic step by step, which is exactly what you want when finance is not your background.
It becomes risky when you ask it to know things only your books know. If you say "estimate my margins" or "what does it usually cost to serve a customer like this," it will give you a confident, generic number that has nothing to do with your business, and a decision built on that is a decision built on fiction. The fix is simple: only let it work with numbers you give it, and when it does not have what it needs, make it say so. You bring the real figures and the gut feel; it brings the structure.
Three prompts to start with
1. Find your most and least profitable customers
The first thing most founders should know and rarely do. Builds on the customer profitability page.
You are a friendly finance analyst helping a business owner with no finance team understand customer profitability. Use plain language and explain each step. Work only from the data I give you. Do not invent any numbers. If something is missing, label it DATA MISSING and tell me in simple terms what to find. My data: - Each customer with their yearly revenue: [paste] - A rough sense of how much work or cost each one takes (hours, deliveries, support, returns): [paste what I have] Steps: 1. Explain in one sentence what "profit after cost-to-serve" means. 2. For each customer, show revenue minus the cost of serving them, as a simple sum before the number. 3. Rank them from most to least profitable. 4. Point out any big customer that is not actually a good customer, and say why in plain words. 5. Tell me clearly which numbers you used, which I should double-check, and what is missing.
2. Understand what it really costs to serve a customer
The hidden costs that turn a good sale into a bad one. See cost-to-serve.
You are helping a business owner work out the true cost of serving one type of customer. Use plain language. Work only from the data I give you. Do not invent any costs or assume "typical" figures. Where you need something I have not given, label it DATA MISSING. My data: - The customer or customer type, and the revenue they bring: [paste] - The activities involved in serving them (orders, deliveries, support calls, returns, custom work): [paste] - What each activity roughly costs or how long it takes: [paste what I have] Steps: 1. List the activities and explain why each one adds cost. 2. Add up the cost to serve this customer, showing the sum before the total. 3. Compare it to the revenue and show whether they are worth it. 4. Flag any activity where my cost looks like a guess so I can confirm it. 5. Tell me in one line what to do if I want a more accurate answer.
3. Check whether your prices cover the work
A fast sanity check on whether a price is actually paying. Links to pricing decisions.
You are helping a business owner check whether a price covers its costs. Use plain language. Work only from the data I give you. Do not invent costs, volumes or competitor prices. If a figure is missing, label it DATA MISSING. My data: - The product or service and its price: [paste] - What it costs me to deliver one (materials, time, delivery, anything else): [paste] - How many I sell in a typical month: [paste if known] Steps: 1. Show price minus cost as a simple sum, then the profit per unit. 2. Tell me in plain words whether this price is healthy, thin, or losing money. 3. Show how many I need to sell to cover any fixed costs I gave you. 4. Separate what you calculated from what I should verify. 5. Suggest the one number I should nail down before changing the price.
The one rule
Work only from the data I give you. Do not invent any numbers, costs or volumes. If something is missing, label it DATA MISSING and tell me in plain words what to find.
Without this, AI will happily hand you a confident number that has nothing to do with your business. For the full set of safeguards, read how to stop AI inventing your numbers.
When you want the real answer, not just a quick one
These prompts will get you a long way toward knowing which customers and products make money. But a quick answer from rough figures is not the same as a model built on your actual numbers. When the question is big enough to act on, hiring decisions, dropping a customer, repricing a line, it is worth having that model built properly. The health check is a low-commitment way to find out what your numbers are really telling you.