Deployment Risk Scoring uses AI to rate the risk of each release, enabling safer change decisions, by scoring change records, test outcomes, and dependencies, across change and release management.
Change advisory boards approve releases with little objective sense of which changes are risky, relying on judgement and history held in people's heads. Risky deployments cause incidents that careful sequencing could have avoided.
The AI applies scoring to change records, release history, test outcomes, dependencies, and incident data, producing deployment risk scores to guide change approval and scheduling.
Reduces the change failure rate and lowers incidents traced to high-risk deployments.
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