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Real Estate verified Verified Outcome TRL 9

Document Fraud Detection for Leasing

domain Client: Large Multifamily Operators handshake Provider: Snappt schedule Deploy: 2020-Present
93 Impact
Enterprise Ready
Evidence Score: 5/10
Strength: High

Executive Summary

ANALYST: COI RESEARCH

Use of forensic algorithms to scan tenant application documents (bank statements, pay stubs) for metadata tampering, identifying fake income proof that humans miss.

rate_review Analyst Verdict

"Critical defense against the rising 'fake pay stub' economy. With simple PDF editors, fraud has become undetectable to leasing agents. Snappt's ability to read the file structure (metadata) rather than just the visual text is the only reliable filter."

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Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

Evicting a tenant takes 3-6 months and costs average $7,500. A significant percentage of evictions stem from applicants who lied about their income to qualify. Property managers reviewing PDFs visually could not detect sophisticated edits made with Photoshop or online 'fake stub' generators.

psychology The Solution

Integrated Snappt into the application portal. When an applicant uploads a PDF bank statement, the software analyzes the file's underlying code. It flags anomalies like 'edited text layers', 'font mismatches', or 'metadata from editing software'. Leasing teams receive a simple 'Tampering Detected' alert.

settings_suggest Technical & Deployment Specs

Integrations
Yardi, RealPage
Deployment Model
SaaS
Data Classification
Financial PII
Estimated TCO / ROI
Per Unit/App Fee
POC Summary ( to )

"N/A"

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
False Positives Medium Manual review queue.
Format Changes Medium Continuous algorithm updates.

trending_up Impact Trajectory

Audited value realization curve

Bad debt avoided estimated at >$230M Verified Outcome
Primary KPIDetects fraud in ~12% of all applications
Audit CycleEviction rate reduced from industry avg 5% to <2%

policy Compliance & Gov

  • Standards: FCRA / Fair Housing
  • Maturity (TRL): 9
  • Evidence Score: 5/10
  • Data Class: Financial PII

folder_shared Verified Assets

description
Verified Case Study
PDF • Version 1
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Technical Audit
PDF • Audited
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The "Blind Verification" Protocol

How we verified these outcomes for Large Multifamily Operators without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-663
Evidence: Direct SQL Logs
Public
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2. Verified Asset

Outcome: Verified
Ref ID: #COI-663

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