After an incident, teams collect relevant data such as timelines, metrics, logs, and deployment history. This information is analysed to identify the primary trigger and contributing factors. Findings are documented, and corrective actions are implemented to prevent recurrence. Teams also use these tools to automate deployment log analysis, eliminating the manual review process from on-call workflows and enabling AI-powered on-call alert reduction by suppressing noise before engineers are paged.