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The AI Definition of Done: Human in the Loop Is Not a Quality Standard
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TL;DR: The AI Definition of Done
Your team has a Definition of Done for a product increment. It has none for the 20-plus AI-supported outputs that leave the team each week: status reports, stakeholder emails, release notes, and updates for the C-level. Each one carries your team’s name. "I know quality when I see it" is the standard most teams actually run by, and you cannot audit it, teach it to a new colleague, or defend it when a claim turns out to be wrong. The AI Definition of Done fixes that with one page per task class, agreed by the team, before the output ships.
Thesis : The AI Definition of Done is a one-page, team-agreed standard that an AI-assisted output must meet before it leaves the team. You write one per task class, never per task: one for external status communication, one for data analysis summaries, one for backlog item drafts. It borrows the discipline of the Scrum Definition of Done and applies it to work that has been touched, especially outputs that leave the team. This is Stage 4 of the AI Delegation Lifecycle. The sections below cover the four questions it answers and how to write yours in 75 minutes.
🎓 🇬🇧 The AI4Agile Online Course v3 — July 20, 2026, at $149 — Join the Waitlist
Sooner or later, a CFO will ask what your AI use actually returns. "It saves me time" will not survive that meeting.
The first wave of AI adoption rewarded practitioners who learned to prompt. That skill still matters, and this course still teaches it. The second wave rewards something rarer: people who can turn individual AI use into knowledge that survives departures, spend that can be explained and steered, and output that organizations can trust. That work is process design and change management. You have been doing both for years, on harder problems than this.
The AI 4 Agile Online Course v3 is in English . 🇬🇧
What You Will Get:
✅ 16+ hours of self-paced video modules ✅ A cohort-hardened, proven course design ✅ Learn to 10x your effectiveness with AI; your stakeholder will be grateful ✅ Apply AI to classic use cases of “Agile” ✅ The A3 Framework, A3 Handoff Canvas, AI Definition of Done, and Delegation Retrospective as working handouts ✅ The complete MegaBrain.io case package across both acts ✅ All texts, slides, prompts, graphics; you name it ✅ Access custom GPTs, including the “Scrum Anti-Patterns Guide GTP” ✅ Guaranteed: Lifetime access to v3 ✅ AI4Agile Foundation Certificate : 40 questions in 45 minutes.
👉 Please note : The course will be available for $149 from July 20 to 27, 2026 ! (After that, $249.) 👈
🎓 Join the Waitlist now and be the first to know : The AI4Agile Online Course v3 — July 20, 2026, at $49 — No Coding Required!
🇩🇪 Zur deutschsprachigen Version des Artikels: Die KI-Definition of Done: Human in the Loop ist kein Qualitätsstandard.
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Your Increment Has a Standard; Does Your AI Output?
A model turns the Jira board into a Friday status update, and the update tells an enterprise prospect that the security feature is in production. Unfortunately, it is not. The feature was descoped three months ago, but the old ticket title persisted because no one felt responsible. So the model reported the title instead of the reality. Nobody checked the claim against the release notes,...