What this course teaches
AI for CORs should help monitor deliverables, CDRLs, mods, performance notes, and evidence without replacing COR judgment.
The lesson focuses on safe usage patterns, workflow design, review expectations, and the artifacts a team should inspect before relying on AI-assisted work.
Workflow checklist
Track CDRLs, deliverables, mods, and owner assignments. Summarize performance notes with evidence.
Track CDRLs, deliverables, mods, and owner assignments. Summarize performance notes with evidence. Flag late, missing, or changed deliverables. Prepare oversight updates for human review.
Common failure modes
Teams should watch for missed mod impact, uncited performance note, no owner/date mapping.
Academy courses should make failure modes explicit so buyers know what to review, when to escalate, and what should never enter an official record without human judgment.