For a major real estate trust managing 142 commercial properties nationwide, we developed an AI system that detected $3.8M in attempted financial fraud within the first 90 days of deployment. The solution monitors all rental payments, vendor transactions, and capital expenditures across their $8.2B portfolio, using machine learning to identify anomalies in payment patterns, lease agreements, and property valuations.
Our proprietary algorithms analyze 28 financial dimensions specific to real estate operations, including tenant payment histories, maintenance invoice patterns, and property tax assessment anomalies. The system reduced fraudulent transaction attempts by 68% while cutting financial audit preparation time by 45%.
The client faced critical vulnerabilities in their financial operations:
We implemented a multi-layered financial protection system:
Reduction in fraud attempts
Fraud detected in 90 days
Faster audit preparation
Properties protected
Key questions about financial protection for property portfolios.
Our models analyze patterns across rent payments, vendor transactions, and property expenses. It flags anomalies like sudden payment method changes, unusual vendor relationships, or abnormal expense ratios compared to similar properties in the portfolio.
Yes, we integrate with all major platforms (Yardi, MRI, RealPage). The system works alongside your existing software, adding AI-powered financial protection without disrupting workflows.
The AI monitors payment histories, subletting patterns, and maintenance requests to identify potential lease violations. It can detect unauthorized occupants by analyzing utility usage patterns versus lease terms.
0800 772 3387
info@nintech.io