Post-Deployment Monitoring

Post-deployment monitoring is the continuous tracking of an AI system's behavior after it has been deployed into production. AI systems are not static: they encounter new data distributions, edge cases, and usage patterns that pre-deployment testing could not anticipate. Without systematic monitoring, organizations discover drift, emerging bias, or degrading accuracy only when the consequences are already visible. 

At Eticas.ai, post-deployment monitoring is the second step of every engagement. During the initial evaluation, we identify the metrics that matter, set benchmarks, and define thresholds. Monitoring then tracks those metrics automatically at agreed intervals, and alerts the organization when material changes occur, before they become problems. 

Monitoring frequency is agreed with each client based on the system's risk profile, the pace of change in the deployment environment, and applicable regulatory requirements.