COMPEL Glossary / post-mortem
Post-Mortem
A post-mortem is a structured review conducted after an AI incident, project milestone, or engagement conclusion to analyze what happened, understand root causes, identify lessons learned, and develop actionable improvements for the future.
What this means in practice
Effective post-mortems focus on systemic factors and process improvements rather than individual blame, creating organizational learning from both failures and successes. For organizations operating AI, regular post-mortems are the primary mechanism through which operational experience is converted into improved practices, closing the loop between doing and learning. In COMPEL, post-mortems connect directly to the Learn stage, where they feed insights back into the next Calibrate cycle, and are addressed in Module 2.4 on execution management and Module 2.4, Article 12 on operational resilience.
Why it matters
Post-mortems are the primary mechanism through which operational experience is converted into improved practices, closing the loop between doing and learning. Without structured post-mortem processes, organizations repeat the same mistakes, fail to capture institutional knowledge, and miss opportunities for systematic improvement. Regular post-mortems from both failures and successes build the organizational learning muscle essential for AI maturity.
How COMPEL uses it
Post-mortems connect directly to the Learn stage, feeding insights back into the next Calibrate cycle. They are addressed in Module 2.4 on execution management and Article 12 on operational resilience. The Process pillar requires documented post-mortem outputs as governance artifacts, and the Evaluate stage uses post-mortem findings to assess whether the organization is genuinely learning from its AI operational experience.
Related Terms
Other glossary terms mentioned in this entry's definition and context.