Risk Policy Settings

Risk policy settings let an admin tune how Rivolq converts risk evidence into priority and recommendation behavior, matching your planning philosophy and operational tolerance.

Where to find it

Open Settings, then Risk policy. The tab is available to admins when the risk engine feature is enabled. The policy changes how recommendations are prioritized; it does not rewrite the failure model. Risk score, failure probability, expected loss, confidence, and exposure stay distinct.

Priority weights

Weights control how much each signal matters when Rivolq orders work and decision candidates: expected-loss weight, cost-of-delay weight, criticality weight, and ROI weight. Increase a weight only when that factor should dominate, such as a hospital weighting criticality or a capital-constrained portfolio weighting ROI.

Normalizers and thresholds

Scale normalizers define a full-strength signal: full-scale exposure, full-scale monthly delay, and full-scale ROI, so scoring matches your portfolio size. Recommendation thresholds control when Rivolq nudges action: low-risk inspect threshold, moderate replace threshold, high replace threshold, moderate confidence floor, and high confidence floor. Confidence floors let weak-data recommendations show as uncertain.

Governance and rollout

Use a clear governance note explaining why a policy exists, and review history to see what changed. Roll out by capturing current top recommendations, changing one group of settings at a time, saving a note, reviewing analytics and scenarios, then revisiting after a month. Reset to system default if recommendations become confusing.