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Resident underwriting

Assess the risk, make the call

Findigs underwrites every application against your tunable policy and returns an automatic decision, approve, approve with conditions, or decline, with the reasons logged, no manual review.

Trusted by the owners and operators behind 400K+ rental units
Sentral
Evernest
Oakwood Management Company
The problem

The hardest part of leasing is the call

  1. 01

    The decision is a guess

    Without real outcome data, approve or decline is judgment, not evidence.

  2. 02

    Decisions take days

    Marginal applications sit in a queue waiting on a human to read them.

  3. 03

    Standards drift

    Different reviewers apply the same policy differently across properties.

The Findigs answer

Approve more and decline more, automatically

Five mechanics turn a screened applicant into an automatic decision: approve, approve with conditions, or decline. Findigs approves more qualified renters and declines more of the wrong ones, with every outcome grounded in verified data and your policy.

  • Decisioning

    Returns the automatic yes or no on every application.

  • Risk-tier modeling

    Scores each applicant against real network performance.

  • Policy & criteria

    Your income, credit, and lookback rules, tunable per property.

  • Affordability

    Turns verified income into whether they can carry the rent.

  • Findigs Intelligence

    Cross-network fraud signal on every decision.

The underwriting engine

One engine turns every application into a decision

Every application moves through the full engine and comes out Approved or Declined, automatically. The policy behind it tunes continuously against real lease performance, so approvals fill units with residents who pay.

Decisioning

An automatic yes or no

Findigs returns an automatic decision in a median 3.4 hours, with the policy reasons cited and the audit trail attached. No manual review.

Explore decisioning
Risk-tier modeling

Score the risk against reality

Findigs scores every application against post-lease performance from 400K+ units, so the risk tier behind each decision predicts on-time payment from real lease outcomes, not a generic bureau score.

Explore risk-tier modeling
Policy & criteria

Your policy, your thresholds

Operators set the income multiples, credit thresholds, and eviction and criminal lookback windows once, with property-level overrides where they matter. Findigs then applies that policy to every application automatically.

Explore policy & criteria
Affordability

Can they carry the rent?

Findigs builds affordability from verified income, guarantor strength, and local context, so you approve renters who can actually carry the lease.

Explore affordability
Findigs Intelligence

The fraud signal, network-wide

Cross-network fraud signals from 400K+ units catch synthetic identities and reused identity documents, so a fraud decline at one operator follows that identity to every other.

Explore Findigs Intelligence
Josh Lin, EVP Innovation and Growth at McKinley
Revenue quality means not just filling units. It means filling units with residents who we know are going to perform.
Josh Lin
EVP Innovation & Growth, McKinley
Outcome proof

What underwriting delivers

median decision time
3.4hrmedian decision time
occupancy lift
+1.7 ptsoccupancy lift
bad debt reduction
up to 60%bad debt reduction
Trust and compliance

Every decision is handled under FCRA, encrypted in transit and at rest, applied as consistent policy with an individualized assessment, and logged to a full audit trail.

SOC 2 Type II
FCRA-compliant
Fair Housing

Stop screening, start leasing

See how Findigs decisions every application automatically.

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