What this course teaches
GovCon AI buyers should evaluate security posture, data boundaries, workflow coverage, citation quality, artifact usability, and human-review controls.
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
Define the workflows that matter before comparing features. Test on a live pursuit or contract file.
Define the workflows that matter before comparing features. Test on a live pursuit or contract file. Review source citations and output artifacts. Ask how the system handles CUI, retention, logging, and audit trails.
Common failure modes
Teams should watch for demo theater, feature checklist bias, security posture assumptions.
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.