Tenant Screening & Analysis
Choosing the wrong tenant leads to payment issues, property damage, and costly evictions. Manual screening misses red flags.
How AI Helps
Input application data (income, credit, references) to get risk assessments and red flags to investigate.
- Application analysis: Reviews income, credit, and references to assess ability to pay
- Risk flagging: Spots inconsistencies and potential problems in applications
- Pattern recognition: Compares applicants to your history to predict who's reliable
Pain Points This Solves
Different pains, tailored solutions.
Money leaking
Stop choosing tenants who can't pay
Bad tenant choices lead to missed payments property damage and costly evictions. Manual screening misses red flags until it's too late.
Flying blind
Know which applicants will be reliable tenants
You're making tenant decisions on limited information and gut feel. Problem tenants reveal themselves after move-in when it's expensive to fix.
Implementation Tiers
Choose the level that matches your readiness and ambition.
Input application data (income, credit, references) into AI Chatbot (ChatGPT, Claude) or Excel with Copilot. Get risk assessment and red flags to investigate.
Deploy Integrated Screening Platform (TenantCloud, SmartMove) or Power Automate with SharePoint to unify background checks, income verification, and scoring with automated approval recommendations.
Build a tenant quality model trained on your portfolio's historyβwhich profiles pay on time, stay longer, and treat the property well. No generic screening tool has that data.
Industry Applications
See how this applies to your sector.
Ready to implement Tenant Screening & Analysis?
Take our assessment to see how this fits with your other priorities, or get in touch to discuss implementation.