Blameless postmortem
A post-incident review practice, formalized in Google's Site Reliability Engineering discipline, that treats the human action which triggered an incident as one fact in a factual timeline rather than the review's central finding, directing accountability instead at the systems, processes, and owners that should have prevented or caught the mistake.
Defined in 3 GAGE programs, which carry 4 distinct definitions of it. The wording above is taught in Certified AI Data Governance Professional (CADGP).
How each discipline defines it
The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.
A post-incident review practice, formalized in Google's Site Reliability Engineering discipline, that treats the human action which triggered an incident as one fact in a factual timeline rather than the review's central finding, directing accountability instead at the systems, processes, and owners that should have prevented or caught the mistake.
A reporting discipline, formalized in Google's published Site Reliability Engineering practice (2016), that structurally separates what happened from who is at fault, on the reasoning that a culture where individuals fear blame produces incomplete or defensive factual accounts.
The evidence-based practice, codified in software site-reliability engineering, of analyzing an incident for systemic causes with an explicit rule against punishing individuals, so that the people present tell the truth. Blame is an information strategy, not only a moral one.
A post-incident review discipline that separates honest disclosure of what happened from personal blame, encouraging fast, complete reporting of decisions and mistakes rather than concealment; it does not eliminate accountability, it removes the incentive to hide facts out of fear. Owned in depth by Topic 11.7. (see Topic 11.7)
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- The 2 a.m. data incident: run the response live, stakeholders calling · Data Incidents, Certified AI Data Governance Professional (CADGP)
- The post-incident review: fixing the estate, not blaming the intern · Data Incidents, Certified AI Data Governance Professional (CADGP)
- The post-incident review: what you missed, written without blaming the tool · Shipping AI and Surviving the Incident, Certified AI Governance Professional (CAIGP)
- Reading and writing a post-incident report · Failure Analysis, Learning From How Robots Break, Engineering Judgment and Professional Formation
Where it shows up at work
A definition is where Blameless postmortem starts. The lessons above teach it inside the competencies below, which are what job descriptions ask for and what the GAGE credential records. Every link here is drawn from the same careers map that builds a role's readiness check.
Classifies AI incidents by severity, runs containment, preserves evidence, manages notification, and closes the loop with lessons learned.
One lesson on this page teach it as a primary outcome.
Roles that hire for it
Each role page shows the full competency set, what the seat decides, and a readiness check against your own evidence.
- Chief Information Security Officer, AI security focusneeds it at depth
- AI Incident Response Leadneeds it at depth · 1 open posting this week
- Chief Privacy Officer, AI privacy editionneeds working knowledge
- Chief Risk Officer, AI risk editionneeds working knowledge
- AI Security Architectneeds working knowledge · 8 open postings this week
- Physical AI Safety Engineer, autonomous systems editionneeds working knowledge
How job descriptions say it
Postings rarely use the textbook word. These are the phrases the careers map reads as asking for the competencies above.
Where the frameworks place it: EU AI Act Article 73; ISO/IEC 42001 Annex A incident controls; NIST AI RMF MANAGE 4.
One interview question about it
An AI system has just caused harm to a customer. Walk me through the first 48 hours.
Asked of candidates for ai incident response and recovery. Answering it in your own words is exactly how a GAGE topic is passed, and the credential records the pass where an employer can check it.
If you come from another field
Some backgrounds already carry this competency, and the readiness check gives credit for it.
- Cybersecurity and IT carries it as work you can show: Incident playbooks and post-incident reviews are your artifacts.
- A cybersecurity or information assurance degree carries it as a claim to back up: Incident response is a course; AI incidents add model failure to the playbook.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.