What does using AI for post-mortems actually mean?

AI is increasingly being used to streamline the creation of post-mortems by consolidating various data points like Slack threads, timelines, and PRs into a structured draft, significantly reducing the time spent on initial documentation. However, while AI can efficiently handle the mechanical aspects of post-mortem preparation, such as assembling timelines and generating drafts, the true value lies in the human-led synthesis of understanding the underlying causes and determining meaningful follow-up actions. The concern is that AI-generated post-mortems might appear complete but lack genuine insights if not carefully reviewed and owned by the team. The goal is for AI to facilitate the process so that humans can focus on extracting actionable insights, ensuring that the team's learning and understanding are not compromised by over-reliance on AI.

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