READINESS_DIAGNOSTIC
Structured capability assessment.
A role-contextualized diagnostic across 21 AI engineering dimensions. Scored against explicit benchmarks. Outputs include gap analysis, prioritized risk areas, and role-specific capability profiles.
METHODOLOGY
| DIMENSION | APPROACH | OUTPUT |
|---|---|---|
| Scope | 21 capability dimensions across 6 domains | Full domain coverage map |
| Evidence | Observable outputs, not self-report or multiple choice | Artifact-referenced scoring |
| Benchmark | Compared against 9 role-specific profiles | Role benchmark deviation report |
| Gaps | Dimensions scored below threshold flagged as risks | Ranked gap list with severity |
| Repeatability | Versioned rubrics, consistent across all participants | Pre/post delta eligible |
RUN_DIAGNOSTIC
atlas://capability-diagnostic
SAMPLE OUTPUT
GAP_ANALYSIS_REPORT
68
/ 100 · CAPABILITY SCORE
ROLE: SR. AI ENGINEER
CAPABILITY GAPS — RANKED BY RISK
CRITICAL Quality & Measurement 38
HIGH Human-AI Process 51
HIGH Business Translation 55
MED Architecture & Systems 72
LOW Integration & Ops 79
BENCHMARK: SR. AI ENG PROFILE · ASSESSED 2025-01-15
Individual assessment included with all plans. Team assessments and org-level reports available via enterprise deployment.
TEAM_DEPLOYMENT
Assessing a team or organization?
Run structured capability mapping across your engineering org. Gap reports, role benchmarks, training ROI, and executive summaries at team scale.
Book a discovery call