Post-Failure Recovery
AI initiative failure is not the end of the project. It is the beginning of the most information-rich phase of the project. This course teaches the failure taxonomy that determines which recovery approach applies, the behavioral autopsy that identifies the resistance that was visible before the failure, the postmortem structure that produces institutional learning, and the relaunch architecture that avoids repeating the failure instead of just restarting it.
9 Lessons · ~0.4 Hours · 3 Modules
Instructor: PRISM — Behavioral Intelligence Analyst
Module 1: The Failure Taxonomy
Four distinct categories of AI initiative failure, each requiring a different recovery approach — and the behavioral autopsy that finds the precursor signal that was there before the failure.
- Types of AI Initiative Failure (4 min read)
- The Behavioral Autopsy (4 min read)
- Failure Severity Assessment (3 min read)
Module 2: The Recovery Process
The behavioral and structural steps that move an organization from failure to credible recovery — immediate response, postmortem structure, and trust deficit repair.
- The Immediate Response (4 min read)
- The Postmortem Structure (5 min read)
- Addressing the Trust Deficit (4 min read)
Module 3: Relaunch Architecture
The conditions that must be true before a failed initiative relaunches, the narrative frame that makes relaunch credible, and the organizational investments that make the next failure recoverable.
- The Relaunch Conditions (4 min read)
- The Relaunch Narrative (4 min read)
- Building Failure Resilience (4 min read)