Findigs Policy Optimization fine-tunes your criteria to maximize occupancy and minimize delinquency in an adaptive, continuously-learning system.
Most screening systems stop at “approved,” leaving you in the dark about how decisions affect real outcomes like evictions or lost leases. Findigs closes that gap using actual leasing data and outcomes to automatically refine your screening criteria and improve portfolio performance.
See how specific criteria (eg. income thresholds, credit cutoffs) impact approvals, evictions, and time-to-lease, so you can adjust with confidence instead of guesswork.
Identify where your screening is too strict, reduce false declines, and approve more qualified renters - all without increasing risk.
Your portfolio evolves so your policies should too. Findigs continuously refines your screening strategy using real outcome data and AI to improve results over time.
Integrate Findigs with your PMS and screening data to capture real-world outcomes like payment history and evictions.
Analyze past decisions against actual tenant performance. See which criteria predict good tenants and which don’t.
Adjust your screening thresholds with AI-powered insights — balancing occupancy and risk dynamically.
Because “working” is subjective. Are you still seeing high delinquency? Are your units sitting vacant longer than necessary? Policy Optimization helps you challenge assumptions and uncover if your current rules are causing you to reject good applicants or accept risky ones.
Findigs gives you decision-ready recommendations based on real leasing outcomes across your portfolio. It identifies where your current thresholds (e.g. income, credit, fraud flags) may be too tight or too loose—then models what would happen if you adjusted them. It’s not a guessing game. It’s controlled, measurable policy tuning.
Sure, but manual changes are often based on anecdotes, not data. Findigs tracks every application, decision, and outcome so you’re making informed changes, not just reacting to edge cases or pressure from leasing teams. Plus, all changes stay compliant and are logged for audits.
That’s the point of optimization: you don’t make changes blindly. Findigs simulates the impact of any proposed change using historical and real-time data. You can see how adjustments would affect eviction risk, lease-up speed, and revenue before implementing them.
You do of course. Findigs provides recommendations and data, but your team owns the policy. We’ll show the trade-offs. You choose the thresholds.
Policy Optimization is how you fine-tune your screening criteria to strike the right balance between occupancy and risk. Instead of one-size-fits-all rules, you're using real outcomes (who pays, who doesn’t, who stays) to guide smarter screening decisions. With Findigs, this process is data-backed, not gut-based.
