{"success":true,"filters":{"role":"engineering","firstWedge":null,"severity":null,"category":null,"riskLevel":null,"status":null,"search":null},"summary":{"profiles":1,"firstWedgeRole":null,"riskSignals":7,"blockedScaleConditions":4,"mitigationActions":5,"severityCounts":{"critical":0,"high":1,"medium":0},"categoryCounts":{"policy":1,"data":0,"verification":3,"tooling":0,"automation":0,"manager_visibility":1,"roi":2}},"profiles":[{"id":"adoption-risk-dashboard-engineering","role":"engineering","roleLabel":"Engineering","productLine":"AIducation for Engineering","firstWedge":false,"academyPath":"/ai-training/engineering","dashboardName":"Engineering AI Adoption Risk Dashboard","riskLevel":"medium","readinessStatus":"needs_coaching","roiConfidence":"early_signal","overallSeverity":"high","riskSignals":[{"id":"adoption-risk-engineering-1","category":"verification","severity":"high","signal":"Coding-agent output lands without path-level verification","evidenceSource":"Readiness benchmark and org dashboard","mitigation":"Assign verification missions before the workflow can count toward readiness or ROI."},{"id":"adoption-risk-engineering-2","category":"roi","severity":"high","signal":"Review feedback misses behavioral risk in generated code","evidenceSource":"Readiness benchmark and org dashboard","mitigation":"Keep value claims as risk-adjusted planning assumptions until baseline and exit evidence improve."},{"id":"adoption-risk-engineering-3","category":"verification","severity":"medium","signal":"Learners use AI output without a verification step","evidenceSource":"Misuse reporting and policy training","mitigation":"Assign verification missions before the workflow can count toward readiness or ROI."},{"id":"adoption-risk-engineering-4","category":"manager_visibility","severity":"medium","signal":"Managers cannot see which skills are ready for live work","evidenceSource":"Misuse reporting and policy training","mitigation":"Export manager coaching reports and assign remediation to failed skill atoms."},{"id":"adoption-risk-engineering-5","category":"policy","severity":"medium","signal":"Tool usage grows faster than policy understanding","evidenceSource":"Misuse reporting and policy training","mitigation":"Run Engineering policy training and require manager approval for unclear authority."},{"id":"adoption-risk-engineering-6","category":"verification","severity":"medium","signal":"Coding-agent output lands without path-level verification","evidenceSource":"Manager review and rollout evidence","mitigation":"Assign verification missions before the workflow can count toward readiness or ROI."},{"id":"adoption-risk-engineering-7","category":"roi","severity":"medium","signal":"Review feedback misses behavioral risk in generated code","evidenceSource":"Manager review and rollout evidence","mitigation":"Keep value claims as risk-adjusted planning assumptions until baseline and exit evidence improve."}],"blockedScaleConditions":["Baseline coverage is incomplete or not comparable across the department.","Workflow artifacts lack prompt, output, verification, and final-work evidence.","Manager coaching actions are still open for failed skill atoms.","ROI confidence is not backed by exit assessment and portfolio evidence."],"leadingIndicators":["Engineering learners skip verification or cannot name the evidence source.","Engineering teams use AI tools before approved data-class training is complete.","Managers cannot identify who is ready, who is risky, and which workflows improved.","Workflow usage grows faster than proof artifacts and manager review."],"mitigationPlan":["Policy baseline","Run daily missions on the highest-risk skill atoms.","Require role policy enforcement for approved tools, data classes, prompts, and workflows.","Export manager coaching actions before scaling workflow adoption.","Move ROI claims from planning to evidence-ready only after exit assessment and portfolio proof."],"managerActions":["Reach 85% baseline coverage before comparing Engineering teams","Coach learners below the 76 readiness target on failed skill atoms","Assign daily missions for the weakest workflow dimension","Export manager report after exit assessment and credential review"],"executiveQuestions":["Which engineering workflows are blocked from scaling and why?","Where are verification, data handling, approval, or tool-use failures concentrated?","Which manager actions must close before productivity lift can be reported?","What evidence would convert this department from planning risk to readiness proof?"],"evidenceLinks":[{"label":"Org readiness dashboard","href":"/org-readiness-dashboard","type":"readiness"},{"label":"Engineering AI Policy Training","href":"/policy-training","type":"policy"},{"label":"Engineering AI Misuse Reporting","href":"/misuse-reporting","type":"misuse"},{"label":"Engineering AI Policy Enforcement Matrix","href":"/role-policy-enforcement","type":"enforcement"},{"label":"Engineering ROI assumptions","href":"/adoption-roi-dashboard","type":"roi"}]}]}