Every annual account shows a profit. A buyer then asks a different question: how did this number come about, and does it hold up when circumstances change. Profit quality is the degree to which the profit is predictable, repeatable and independent of coincidences. A margin that rests on one large order, a favourable exchange rate or a temporary saving weighs less than a margin that comes from the process itself. Buyers therefore often correct the result to what they call a normalised profit, and that correction determines a large part of the final price.
AI is taking over tasks, and this does not happen everywhere to the same degree. In some companies part of the administration, planning or first-line customer contact already runs without manual intervention, with human oversight that approves or rejects results with reason. In other companies, with comparable products and comparable revenue, the same work is still done entirely by hand. That difference does not lie in the sector, but in how the work is organised: is a task detached enough from the person performing it to be taken over, or does it depend on knowledge that exists only in someone's head.
That organisation directly affects profit quality. A saving that arises because one employee performs a task faster disappears as soon as that employee leaves. A saving that arises because the process itself has changed stays with the company, even after a change of ownership. Buyers distinguish between these two forms, and the second type counts more heavily in the valuation.
A buyer does not look at the profit of one year, but at patterns across several years and at the origin of every margin improvement. Concretely, attention goes to:
These factors do not stand apart from other value drivers. A saving that is tied to one customer or one supplier also touches the question what customer concentration is and why a buyer weighs it, and a margin that only holds up as long as the owner personally makes the decisions touches what AI does to owner dependency.
Profit quality can be assessed with limited means yourself, before a buyer does so.
1. Split the profit of the past three years into structural and incidental components. Anything that does not repeat belongs in the second category, even if it comes out favourably. 2. Trace every cost saving back to its source. Is the saving the result of a process change, a technology, or the deployment of one specific person or supplier. A saving that disappears as soon as that person or party falls away is not a structural profit improvement. 3. Put the margin next to the revenue development. Does the margin move in line with revenue, or does it deviate, and is that deviation explainable from the process. 4. Assess the role of AI in current savings. Work that has been taken over by a system with fixed rules and human oversight is generally repeatable. Work that goes faster because one employee uses a tool cleverly is often not, until the process itself has been documented.
This fourth step touches a subject with its own frameworks: decisions about personnel based on changing work fall under separate legal requirements, and this page provides no basis for that. This is solely about the question which part of a saving lies in the process and which part depends on a person.
Profit quality does not improve by raising the profit, but by making the origin of the profit more convincing. That requires:
The underlying question is always the same: which work in this company can genuinely be taken over by AI, with what bandwidth, and with what oversight. That question is answered per task in the work scan of FTE TO AI.
Profit quality is one of eight drivers that a buyer weighs, and rarely the only driver that depresses the price. The free value check asks eight short questions, one per driver, and gives a picture of which driver depresses your price the most today. The full value scan, with a maturity score per driver, evidence per score and a two-year calendar towards the exit moment, is under construction.