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Policy optimization

Simulate the rule, see the leases

Findigs simulates any proposed policy change against your real applications and lease outcomes, projecting approvals, conversion, and delinquency before you deploy.

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

Tuning policy is a guess

Loosen a threshold and you find out months later, when those leases pay late or the empty units cost you.

The Findigs answer

Test a rule before you ship

Findigs runs a proposed policy change against your real applications and lease outcomes, projecting approvals, conversion, and delinquency, so you can adjust thresholds without trading occupancy for risk.

Policy performance

Tune on outcomes, not guesses

Findigs surfaces the approvals-versus-delinquency trade-off on every rule, instead of leaving you to loosen criteria and hope.

How it works

How Policy Optimization runs

01

Propose the change

An operator drafts the change in the policy builder, without touching the live policy.

02

Simulate on real applications

Findigs runs the rule against your real applications and lease outcomes, projecting approvals, leases, and delinquency.

03

Deploy with confidence

Operators promote the tuned rule to live policy, logged in the audit trail.

Continuous monitoring

Deploy, then learn

Once a tuned rule goes live, post-lease intelligence tracks how those leases perform and feeds the next simulation.

See post-lease intelligence
FAQ

Policy Optimization questions

What does Policy Optimization actually simulate?

Findigs simulates the proposed change against your real applications and lease outcomes, projecting the approvals, signed leases, and delinquency the rule would produce.

What kinds of rules can operators test?

Operators test income multiples, credit thresholds, and other policy criteria configured in policy and criteria. The simulation shows the approvals-versus-delinquency trade-off on every change.

Does the simulation affect any live application?

No. Simulations run against historical applications and outcomes. The live policy stays untouched until an operator promotes the tuned rule.

How does Policy Optimization connect to the rest of the platform?

A promoted rule lands in policy and criteria, drives the next automatic decision through decisioning, and feeds post-lease intelligence so the next simulation runs against real lease performance.

How often should operators tune their policy?

Tune on the cadence your portfolio runs. Findigs records every change in the audit trail behind the decisions it produces.

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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