Insights

AI Date of Insolvency Analysis

AI date-of-insolvency analysis means using artificial intelligence to read a company's financial records and surface and time-order the indicators of insolvency, so a practitioner can form a supportable opinion on when the company became insolvent without reconstructing the timeline by hand.

The date of insolvency is one of the most consequential findings in an administration. It sets the relation-back period for voidable transactions and underpins any insolvent trading claim against directors. Establishing it traditionally means combing through statements, ledgers, and correspondence for the recognised indicia — exactly the pattern-finding AI does well.

Indicators AI surfaces

• Continuing losses and deteriorating working capital.
• Overdue taxes — unpaid PAYG, GST, superannuation.
• Creditor pressure — demands, statutory demands, payment plans, legal action.
• Dishonoured payments and inability to pay debts as they fall due.
• Inability to raise finance or refinance existing facilities.

AI extracts these from the records, places them on a timeline, and flags the point at which the indicia cluster — as candidates for the practitioner's assessment, not a conclusion.

Why the date drives recoveries

A well-supported, earlier date widens the relation-back window — more transactions fall within reach as voidable candidates — and strengthens an insolvent trading position. A date that can't be supported on the evidence does the opposite. AI's job is to make the supporting indicia visible and ordered; the opinion remains the practitioner's.

Frequently asked questions

Can AI determine the date of insolvency?

No. AI surfaces and orders the indicators; the practitioner forms the opinion, which a court may decide.

Why does the date matter?

It sets the relation-back period for voidable transactions and underpins insolvent trading claims — directly affecting recoveries.

What indicators does AI look for?

Continuing losses, overdue taxes, creditor pressure, dishonoured payments, and inability to raise finance, among other recognised indicia.