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AI tenant screening

AI finds the signals. Findigs gives the answer

Most AI screening stops at a fraud score. Your team still reads the flags, applies the policy, and owns whatever happens next. Findigs runs AI verification across every file and returns the decision itself, approve or decline, in hours.

Trusted by the owners and operators behind 500K+ rental units
Sentral
Evernest
Oakwood Management Company
McKinley
Western Wealth Communities
The problem

AI tenant screening sounds automated. Most of it isn't

The tools scan a file and hand back a score, a flag, or a risk tier. Someone on your team still has to open it, decide what the flag means, check it against your policy, and make the call. The AI did the easy part. Your staff still does the part that actually carries the liability.

That's not screening automation. That's screening translation. The manual-review burden the AI was supposed to remove just moves one step downstream, onto a leasing team still reading reports one at a time.

How Findigs makes it work

AI screening gets you data. Decisioning gets you a lease

Findigs doesn't stop at a score. It runs AI verification across three layers of every application and returns one output: approve or decline. Those three checks don't land as three separate reports. Findigs applies your policy to the combined result and returns one decision.

Identity verification

Confirm who the applicant is

Confirms the applicant is who they say they are, cross-checking government ID and applicant data against verification sources.

Income and employment verification

Verify the income, skip the eyeballing

Verifies income and employment against available documentation and data sources, instead of leaving your team to eyeball pay stubs.

Fraud signal detection

Catch manipulation across the network

Checks documents and application data for manipulation or fabrication, and checks identity against the Findigs Intelligence Network.

Proof

Catch the fraud without slowing the leases

Screening that stops at a score doesn't just leave risk on the table, it leaves good applicants waiting, and that's a direct hit to occupancy. Findigs closes both gaps at once: catching risk and fraud signals and returning the decision fast enough that qualified applicants don't drop off.

That combination is what moves revenue quality: more units filled, more of what you lease actually collected.

Outcome proof

Decisions, measured

units on the network
500K+units on the network
underwriting error rate
0.65%underwriting error rate
bad debt reduction
up to 60%bad debt reduction
FAQ

Questions about AI tenant screening

What is AI tenant screening?

AI tenant screening uses machine learning to verify identity, income, and documents on rental applications, catching fraud a human review misses, like AI-generated pay stubs and synthetic identities. On its own it produces signals, not decisions: someone still has to approve or decline the applicant.

How is Findigs different from fraud detection tools like Snappt?

Fraud tools return a flag and your team decides. Findigs runs the same AI-grade detection, then applies your policy and returns the decision itself. Full comparison: Snappt vs Findigs.

Does AI make the final decision on applicants?

No. Your written policy makes it. AI verifies the file, the decisioning engine applies the criteria you set, and complex files route to Findigs fraud and verification specialists. Every decision is handled under FCRA and traceable to the policy behind it.

Can AI screening be fair housing compliant?

Applied correctly it improves compliance, because every file gets the same read under the same written policy, with no reviewer-by-reviewer variance. More on our fair housing compliance page.

Stop reviewing fraud scores

Start getting answers. See how Findigs turns AI screening into decisions.

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