The AI Definition of Done: Human in the Loop Is Not a Quality Standard

2026-06-21 · Source: Artificial Intelligence on Medium · Field: Business & Management — Operations & Process Management, Project & Product Management · Depth: Intermediate, quick

Summary

The AI Definition of Done is a team-agreed, one-page standard that AI-assisted outputs must meet before leaving the team, addressing the lack of auditable quality for the 20-plus AI-supported outputs generated weekly. This framework applies the discipline of Scrum's Definition of Done to AI-touched work, particularly external communications like status reports, stakeholder emails, and release notes. Instead of subjective "I know quality when I see it" standards, it proposes creating one standard per task class (e.g., external status communication, data analysis summaries, backlog item drafts), not per individual task. This approach, positioned as Stage 4 of the AI Delegation Lifecycle, aims to make quality teachable, auditable, and defensible.

Key takeaway

For AI Product Managers or team leads aiming to ensure consistent quality and accountability for AI-assisted team outputs, you must move beyond subjective "I know quality when I see it" standards. Implement an "AI Definition of Done" by developing one-page, team-agreed standards for each task class, such as external reports or data summaries, before outputs ship. This makes quality auditable, teachable, and defensible, preventing errors from carrying your team's name.

Key insights

A team-agreed, one-page standard for AI-assisted outputs ensures consistent quality and auditability.

Principles

• "Human in the loop" is not a quality standard.
• AI output quality must be auditable and teachable.
• Standards should apply to task classes, not individual tasks.

Method

Develop a one-page, team-agreed standard for each task class of AI-assisted output, addressing four key questions, before shipping.

In practice

• Apply to external status communication.
• Use for data analysis summaries.
• Draft backlog items with it.

Topics

• AI Definition of Done
• Quality Standards
• AI Delegation Lifecycle
• Scrum
• Agile Development
• Human in the Loop

Best for: Director of AI/ML, AI Product Manager, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial Intelligence on Medium.