Definition of done
The explicit, testable condition that says a work item is complete; it differs by story type (for an experiment, a validly run test plus a documented result and a decision; for a model-performance story, the metric hit in a production-like environment), and a vague one is a common cause of sprint-review disputes.
Defined in 2 GAGE programs, which carry 2 distinct definitions of it. The wording above is taught in Certified AI Transformation Professional (CATP).
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.
The explicit, testable condition that says a work item is complete; it differs by story type (for an experiment, a validly run test plus a documented result and a decision; for a model-performance story, the metric hit in a production-like environment), and a vague one is a common cause of sprint-review disputes.
The explicit, checkable statement of when a task is complete and correct, set in the handoff brief and serving as the final quality gate. "When it looks right" is not a definition of done.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- Working Alongside AI Agents: Collaboration Frameworks · Agentic AI and Workforce Integration, Certified AI Practitioner: Workplace Foundations
- Agile Transformation Management · Implementation from Pilot to Scale, Certified AI Transformation Professional (CATP)
Where it shows up at work
A definition is where Definition of done 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.
Briefs a model like a good manager: context, constraints, examples, verification, and knows when to stop delegating.
One lesson on this page teach it as a primary outcome.
Defines who reviews AI outputs, what they check, when they can override, and how to keep review from becoming a rubber stamp.
One lesson on this page teach it as a primary outcome.
Sets expectations for AI use on a team, reviews AI-assisted work, delegates to agents deliberately and keeps accountability with people.
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.
- AI Literacy Leadneeds it at depth
- AI Adoption and Enablement Leadneeds working knowledge
- VP of AI Governance and Ethicsneeds working knowledge
- AI Product Manager, responsible product editionneeds it at depth · 3 open postings this week
- Ethical AI Specialistneeds working knowledge · 5 open postings this week
- Autonomous Systems Governance Lead, robotics and physical AI 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 14; ISO/IEC 42001 Annex A.
One interview question about it
Describe a workflow you redesigned around an AI tool. What did the prompt have to contain for the result to be reliable?
Asked of candidates for prompting and workflow design with ai. 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.
- A computer science or software engineering degree carries it as work you can show: Prompting and tool workflows are already in your daily work.
- Operations, claims, customer service and administration carries it as a claim to back up: Team leads and supervisors already manage reviewed work.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.