Trade credit decisions are routinely made under time pressure, in email threads, across spreadsheets that no one else can locate six months later. This works, until it does not. A debtor escalates to AFCA, an internal audit flags inconsistent credit standard application across branches, or ASIC requests evidence of your lending decision framework. At that point, "the credit manager approved it" is not an answer.
What regulators and auditors actually want
AFCA (Australian Financial Complaints Authority) and ASIC do not expect perfection. They expect evidence of a reasonable process. That means: what information did you have at the time of the decision, what criteria did you apply, who reviewed it, and who approved it. The emphasis on 'at the time' is critical: retrospective explanations, however well-intentioned, are far less persuasive than contemporaneous records.
Internal audit teams have similar expectations. A credit manager who cannot demonstrate that a $500,000 limit followed the board-approved approval matrix (the email thread may be sitting in someone's personal inbox) creates audit findings, remediation requirements, and ultimately personal liability exposure for the manager involved.
Trade credit insurers add another layer. If you hold a credit insurance policy and a debtor defaults, your insurer will scrutinise whether the original credit assessment met the policy's due diligence requirements. Missing or incomplete records can void a claim.
The evidence pack concept
A decision evidence pack is an immutable, automatically assembled snapshot of everything that existed at the moment a credit limit was decided. It captures: the bureau reports pulled (and their pull dates), PPSR registrations checked, ASIC company details verified, the application documents submitted by the debtor, the payment history and risk indicators reviewed, any AI-generated analysis notes (clearly labelled as draft), the approval workflow, covering which stage, who reviewed it, what their decision was, and when.
Crucially, the pack is locked at the moment of decision. No one can add, remove, or modify its contents after the fact. A cryptographic hash of the pack's contents provides tamper evidence: if anyone attempts to alter the record, the hash will not match.
This is not a novel idea; it is how well-run insurance underwriting operations work. The difference in trade credit is that most organisations have never had a system that could assemble this evidence automatically. It has always been manual, which means it has always been incomplete.
Common gaps and their consequences
The most common audit finding is not fraud or negligence; it is the absence of documentation for otherwise reasonable decisions. A credit limit was approved at the right level, by the right person, for sensible reasons, yet the bureau report is in a filing cabinet, the director consent form was emailed to the applicant and the reply is in a departed employee's inbox, and the approval email thread was deleted when the manager changed laptops.
These gaps do not necessarily mean the decision was wrong. But they make it impossible to demonstrate it was right. In a contested claim or a regulatory review, the absence of evidence is treated as evidence of absence: of process, of diligence, of controls.
What good looks like
A robust credit decision record includes: the application package (all fields, all documents, signed consent authority), bureau reports with pull timestamps and validity status, every workflow stage with the reviewer's identity, their notes, and the timestamp of their action, the final decision (approved/declined/conditional), the credit limit set, and the terms (payment terms, security requirements).
For organisations with AI-assisted review tools, the AI output should be preserved alongside a clear record that a human reviewer read and considered it; the AI is advisory, not decisional. The audit trail must show the human step.
Key takeaway
The audit trail gap in trade credit is not a compliance luxury; it is a structural risk that materialises the moment a decision is challenged. Building it into the workflow by default, rather than trying to reconstruct it after the fact, is the only approach that actually works. If your credit platform cannot produce a complete evidence pack for any historical decision in seconds, that is the gap to close first.
