How to use AI to detect anomalies in your clients financial data [7]

Errors and fraud often hide in plain sight. AI can spot patterns that humans miss.

How it works: Export a client’s transaction data as CSV. Paste it into AI with the prompt: ‘Analyze this transaction data and flag any anomalies — unusual amounts, duplicate transactions, payments to unfamiliar vendors, or patterns inconsistent with a [industry] business.’

What AI looks for:

  • Duplicate payments within the same period
  • Round-number transactions that may indicate estimates rather than real invoices
  • Vendor names that are slightly different (possible duplicates or fictitious vendors)
  • Transactions just below approval thresholds

Important caveat: AI is a first-pass review tool, not a forensic auditor. Use it to narrow your focus, then apply professional judgment to investigate flagged items.

Client value: Proactively flagging a duplicate payment or unusual transaction builds enormous trust.