Measure
Collect baseline, exit, mission, scenario, workflow, and credential evidence by learner and team.
AIducation manager reports translate readiness evidence into action: who is ready, who needs coaching, which failure modes repeat, what evidence supports credentials, and whether a team can safely expand AI workflows.
Reports are useful only when they convert readiness evidence into coaching, credential, rollout, and governance decisions.
Collect baseline, exit, mission, scenario, workflow, and credential evidence by learner and team.
Surface failed skill atoms, repeated failure modes, risky workflows, and coverage gaps.
Turn readiness data into assigned missions, review actions, approvals, or escalation decisions.
Send manager reports to dashboards, CSV, PDFs, LMS, HRIS, and enterprise reporting APIs.
Each role report defines the section model, learner row schema, coaching rules, team rollups, and export payloads.
The first wedge report shows how the broader manager-report primitive works: coverage, before/after score, risk diagnosis, workflow evidence, and exportable next actions.
Inspect authenticated enterprise export routefrontline_manager, department_leader, executive, compliance
Coverage and completion, Before and after readiness, Skill gaps and failure modes, Workflow evidence, Manager actions
dashboard to Manager dashboard, csv to Enterprise reports API, pdf to Executive or department review, lms to Learning management system, hris to HRIS or workforce analytics
Pause live AI workflow expansion and require manager review before next credential step.