AI-Enabled Fraud Detection for a Proptech Company
Minimizing risk and streamlining lease approvals with advanced AI.
Client Overview
Based in the rapidly growing property technology (PropTech) sector, SafeRent Solutions manages thousands of rental applications monthly across various real estate markets. With an expanding customer base, they faced increasing incidents of fraudulent submissions, identity theft, and payment disputes. Determined to protect both landlords and tenants, they sought a partner with deep AI expertise to design a robust, scalable fraud detection system.
The Challenge
Fraudulent rental applications cost SafeRent Solutions and their clients significant time and revenue. Existing systems relied heavily on manual vetting, slowing approvals and missing subtle signs of fraud. Payment disputes impacted trust, while stolen identities exposed potential legal risks. With high stakes in safeguarding tenant and landlord interests, SafeRent Solutions needed a faster, more accurate fraud detection mechanism.
Manual document checks
Delayed lease approvals
High legal compliance risk
The Solution
Allion introduced a custom AI-driven fraud detection system, combining machine learning algorithms with real-time data checks. The platform analyzed application details against known fraud patterns and external databases to identify suspicious activity. The intuitive dashboard provided instant alerts, enabling swift decision-making. By tailoring each model to property-specific risks, SafeRent Solutions gained a powerful, proactive shield against potential fraud.
Our Approach
After an initial discovery phase, Allion’s data scientists developed a specialized fraud detection pipeline. This included data ingestion from multiple sources, extensive feature engineering, and iterative model training. Throughout development, close collaboration with SafeRent’s compliance team ensured adherence to legal standards. The solution was deployed in stages, minimizing disruption and providing continuous feedback loops.
01
Real-time data validation
02
Ensemble machine learning models
03
Ongoing performance tuning
04
Post-deployment monitoring
Business Impact and Results
Within weeks of deployment, SafeRent Solutions saw a substantial drop in fraudulent applications and faster lease approvals. The AI-driven approach intercepted suspicious behavior before it escalated, saving both time and legal costs. Tenants benefited from quicker processing, while landlords gained confidence in applicant authenticity.
Overall, SafeRent Solutions reported a significant boost in operational efficiency, positioning the company as a trusted player in PropTech.
