Tenant screening software built for landlords who care about FCRA compliance.

What tenant screening software does

Tenant screening software pulls a structured report on a rental applicant from one or more consumer reporting agencies (CRAs) and presents the data in a single document the landlord can use to decide whether to rent. A modern report typically combines:

• A credit report and score — payment history, total debt, collections, and a credit score (typically TransUnion's ResidentScore or FICO).
• A criminal background check — state and county records, plus national database matches and sex-offender registry hits.
• An eviction / housing-court record search — public records of housing-court filings the applicant has been a party to.
• SSN trace — on tiers that include TLO data, a Social Security number can be cross-checked against historical address and name records to surface aliases and prior residences (no driver's license verification or selfie-match is performed).
• Income / employment verification — direct payroll-provider connection or bank-deposit analysis (the only reliable way to defeat AI-generated paystubs).
• Reference calls — automated AI calls to prior landlords with questions the operator configures.

How it works on RentalApplication.ai

The flow is built around the FCRA's authorization requirement and the landlord's adverse-action obligations:

1. Landlord initiates a screening — enters the property address, the applicant's name and email, and which screening tier they want.
2. Applicant gets an invite link — the applicant clicks through, signs an FCRA disclosure-and-authorization, uploads ID, and enters their information.
3. SSN trace runs (on tiers that include TLO data) — the applicant's SSN is matched against historical name and address records before any underlying CRA pull.
4. Reports are pulled in parallel — credit (plus identity-mismatch alerts) from TransUnion, criminal and housing-court from Asurint, and income + identity verification from Pinwheel.
5. AI reference calls run in the background — our AI agent dials the prior landlords the applicant identified and walks through the operator's reference checklist.
6. Report lands in the dashboard — most reports are ready within minutes; AI calls take a few hours since they require reaching a live human.
7. The landlord decides — and if the decision is adverse, the platform generates an FCRA-compliant adverse-action notice in one click.

Legal considerations: FCRA, fair housing, and state caps

Tenant screening is one of the most heavily regulated workflows in real estate. Three regimes apply to every screening:

• Federal Fair Credit Reporting Act (FCRA). Requires written applicant authorization, a permissible purpose, and an adverse-action notice if the report is used to deny housing, raise the deposit, or require a co-signer. RentalApplication.ai operates as an FCRA "reseller" — see that page for the full reseller framework.
• Fair Housing Act and state fair-housing laws. Screening criteria must be applied consistently and cannot discriminate on the basis of any protected characteristic (race, color, national origin, religion, sex, familial status, disability, source of income in many states, etc.). HUD's April 2016 guidance on criminal-record screening is required reading for any landlord using criminal data.
• State and local fee caps. Wisconsin caps screening fees at $25; Virginia, Philadelphia, and Washington, D.C. cap them at $50; California's cap (Cal. Civ. Code § 1950.6) is indexed annually to CPI. RentalApplication.ai automatically caps fees in those jurisdictions.

The Services are not currently available for properties in Vermont, Massachusetts, or New York.

Best practices for landlords

• Write your screening criteria down before you list the unit. Minimum credit score, income-to-rent ratio (3x is standard), and what counts as a disqualifying criminal record — in writing, applied consistently. This is your strongest defense against any future fair-housing claim.
• Always send the adverse-action notice. If you decline or condition based on anything in the report, FCRA § 615 requires it. This is the single most-litigated landlord mistake. See our adverse-action notice guide.
• Verify income with bank-level data, not paystubs. AI-generated paystubs in 2026 are convincing enough that a human reviewer can rarely tell. Bank-link income verification is the only reliable defense.
• Actually call the prior landlord. Past-landlord references are the single most predictive non-financial signal. AI reference calls (included in our Premium tier) make this practical even on a small portfolio.

What to look for in a tenant screening service

• Direct CRA sourcing (the report should disclose which CRA furnished each section)
• Soft credit pulls only (so applicant credit is not impacted)
• Adverse-action workflow built in (template letters, dispute routing)
• FCRA reseller-grade compliance posture (clear disclosure of role)
• Per-report pricing rather than mandatory subscription
• Bank-level income verification, not paystub uploads
• State-specific fee-cap and exclusion handling out of the box