Workflow operations
Compare Human-only and Human + AI delivery, follow decision gates, inspect status mapping, and see who owns each handoff.
View operating workflow →QA operations / workflow system
Quality decisions people can explain.
One operating model for requirements, test evidence, defects, release gates, and responsible AI assistance—built around the way CP and AUR teams already work.
Human-owned release gates Traceable QA evidence AI remains optional
Inside the workspace
From requirement to production learning
Two focused surfaces keep operating decisions and execution evidence connected without turning the site into another delivery board.
Test case governance
Structure reusable cases, classify impact, connect failed execution to a reproducible Bug, and require fresh retest evidence.
View test structure →Human control
AI can draft and analyze. QA validates quality evidence; Product and Engineering retain release and risk authority.
Read the principles ↓Non-negotiable control
AI accelerates the work. Humans own the decision.
- DraftAI proposes gaps, risks, cases, and summaries.
- ValidateQA checks context, evidence, and coverage.
- DecideNamed humans approve quality, risk, release, and rollback.