Credit management in accounts receivable

Credit management is the process of deciding which customers can buy on terms, how much they can owe at any one time, and what to do when their ability to pay changes. Every sale made on credit is a short-term loan to the customer, and credit management is how a finance team decides whether to make that loan and on what conditions. Done well, it keeps cash flowing without turning the sales team into a bottleneck.

The function sits at the front of the order-to-cash cycle. The choices made here, before an invoice ever goes out, shape how much a company will later spend chasing late payments and writing off bad debt.

Setting a credit policy

A credit policy is the written set of rules that governs every credit decision. Without one, each decision becomes a one-off argument between finance and sales, and the answers drift over time.

A workable policy covers a few things:

• Standard terms. The default payment window, usually net-30, and the conditions under which longer terms are offered.
• Approval thresholds. Who can approve a given credit limit, and at what amount a decision escalates to a controller or the CFO.
• Required documentation. What a new customer must provide before terms are granted, such as financials, trade references, or a guarantee.
• Risk tiers. How customers are grouped by risk, and what limits and monitoring each tier gets.

The policy should be specific enough that a new analyst can apply it without asking, and flexible enough to handle a strategic account that does not fit the template.

Running credit checks at onboarding

The first real test of a credit policy is customer onboarding. Before a new customer buys on terms, the team gathers evidence of whether they will pay.

That evidence usually comes from a credit bureau report, the customer's own financial statements, trade references from other suppliers, and the size and frequency of the orders they plan to place. The goal is not a perfect prediction. It is a defensible decision: grant terms, grant a smaller limit, or require payment upfront until trust is earned.

This is also where speed matters most. A check that takes a week can cost a deal. The work of pulling a bureau report, reading the financials, and applying the policy follows a clear pattern, which is why agentic systems are starting to handle the first pass and route only the borderline cases to a human.

Setting and adjusting credit limits

A credit limit caps how much a single customer can owe at one time. It is the main lever for controlling concentration risk, the danger of having too much cash tied up in one account that might not pay.

Set the initial limit from the onboarding evidence and the expected order size. Then treat it as a living number. A customer who pays every invoice early has earned a higher limit. One who starts stretching payments past terms should see theirs reviewed before the exposure grows.

Monitoring exposure over time

A credit decision made at onboarding goes stale. Customers' finances change, and a good payer can become a slow one over a couple of quarters.

Ongoing monitoring watches for the early signals: payments slipping later each month, a rising balance against the limit, a sudden spike in disputes, or a downgrade in the customer's credit rating. The point is to catch deterioration before it turns into a write-off, when there is still time to tighten terms or pause new orders. The metric that surfaces most of this is the aging report, read account by account rather than in aggregate.

Balancing risk against the sale

The hard part of credit management is that its two goals pull against each other. Tight credit protects cash but kills deals the company could have safely won. Loose credit closes deals but loads the balance sheet with receivables that may never convert.

The resolution is not a single setting. It is a tiered approach: low-risk customers clear automatically and fast, mid-risk customers get a limit and closer monitoring, and only the genuinely risky cases consume a human's judgment. That way the sales team is rarely slowed down, and the finance team spends its attention where the money is actually at risk.