AI-Driven Fraud Detection vs Traditional Methods: A Property Manager's Comparison

Evaluating Fraud Prevention Approaches for Property Portfolios When I started managing a 300-unit multifamily portfolio five years ago, our fraud prevention consisted of quarterly audits, manual verification of tenant applications over a certain income threshold, and spot-checking vendor invoices that exceeded $5,000. This approach caught maybe 30% of actual fraud - and only after financial damage had occurred. The shift to AI-based detection fundamentally changed both what we catch and when we catch it.