Working capital is the money tied up in day-to-day operations: inventory, outstanding invoices to customers, minus what you still owe suppliers. It is not the profit on paper, it is the question of whether that profit is also sitting as cash in the account or is on its way from a customer who only pays in ninety days.
A buyer factors this in because working capital must remain financed after the deal. If the business grows, the amount tied up in inventory and receivables usually grows too. Anyone who fails to account for that is paying for profit that is not freely available. That is why every serious sale establishes a normal level of working capital, and adjusts the purchase price accordingly.
Working capital is influenced by how quickly a business invoices, how quickly it collects, how accurately inventory is tracked. That is work: administration, checking, processing. And that work is changing. Invoicing that used to wait for a manual check can now, in part, be handled by AI, with human oversight approving or rejecting exceptions. Accounts receivable management that used to be a fixed routine of reminders can run faster and more consistently when a system takes over most of the flagging.
This varies greatly between businesses. Where the invoicing process is already structured and the data is clean, AI can take over a large part of the checking. Where invoicing still relies on one employee who knows which customer has which arrangement, it remains manual work, with all the slowness and error-proneness that comes with it. The difference is not in the sector, it is in how the process is set up.
A shortening cycle between delivering and getting paid frees up capital. That is a direct improvement in working capital, and therefore in what a buyer is left with after adjustment. But the source of that improvement matters. A saving that arises because the process itself is faster and more consistent weighs differently than a saving that depends on one specific employee who knows the exceptions. The former is transferable, the latter is not. How you make that distinction visible is described in how you substantiate that a margin improvement from AI also holds up with a buyer.
Working capital looks like an accounting exercise, but the norm for it is an estimate, not a fact. A normal level is usually derived from the last twelve to twenty-four months, and that period can be skewed by a large order, a temporary payment delay from one customer, or an inventory peak that says nothing about the structural situation. Anyone who only looks at the most recent year sometimes draws the wrong conclusion.
Add to that: more efficient administration can improve the picture of working capital without the underlying relationship with customers or suppliers having changed. Faster invoicing is measurable, but whether that keeps working depends on whether the system doing it is also maintained, and whether the people overseeing it are replaceable. An outcome that only shows the figures turned out well this year says little about next year.
An improvement in working capital that coincides with a single large customer who happened to pay quickly says nothing about structural progress. The same applies to an AI application that has just been introduced and has not yet completed a full cycle: the figures are too fresh to be a trend. A buyer who calculates properly always asks about repeatability, not about the snapshot figure.
Working capital is one of the eight drivers a buyer weighs, but none of those drivers stands apart from the question of which work within the business itself can be taken over by AI, and which work remains human work. That question is answered per task in the work scan of FTE TO AI. For businesses that use fixed assets and licenses to support that work, it also matters why a due diligence always looks at your software licenses, and for owners who are still personally involved in the process, it is relevant how you become less dependent as an owner on day-to-day decisions.
Regarding personnel decisions that might follow from this kind of analysis: those are subject to their own legal requirements, separate from what this page describes. What is stated here are facts about work and what it does to the figures a buyer reads, not a recommendation about who should do what.
Working capital is one part of a bigger picture. Those who want to know more broadly what a buyer sees before making an offer will find a structural approach in how you make your business sale-ready in the period before a transaction.
The free value check consists of eight short questions, one per value driver, and gives a picture of which driver is weighing most heavily on your price today. The full value scan, with evidence per driver and a two-year calendar toward the exit moment, is under construction.