The time window is the important part. A roof with elevated failure risk inside the next policy period creates a different underwriting action than a roof whose risk is outside the current decision cycle.
A useful roof failure probability signal should include confidence, supporting evidence, relevant exposure data, and a recommended action. It should help teams decide whether to inspect, price, monitor, require repair, plan replacement, or defer.
RAKE ML estimates roof failure probability from imagery, weather exposure, repair history, inspection data, contractor outcomes, and physics-informed simulation.
Related reading: How Commercial Roof Failure Probability Supports Property Insurance Underwriting and Why Roof Age Is a Weak Proxy for Commercial Property Risk.