{
  "metadata": {
    "description": "Sample assessment for Vectrix AI, an L3.5 Series C developer tools startup. Strong across most categories with specific gaps in governance and platform reuse. Verdict: READY_FOR_PILOT, Track C.",
    "generatedBy": "PRISM D1 Velocity Assessment Engine",
    "samplePurpose": "Demonstrates Track C routing for teams in the Established band"
  },
  "customer": {
    "name": "Vectrix AI",
    "teamSize": 28,
    "fundingStage": "Series C"
  },
  "assessment": {
    "assessmentDate": "2026-04-05",
    "saName": "Marcus Chen",
    "repoAnalyzed": "github.com/vectrix-ai/vx-platform",
    "scannerScores": [
      { "id": "ai_tool_config", "name": "AI Tool Config", "score": 9, "maxScore": 10 },
      { "id": "spec_driven_dev", "name": "Spec-Driven Dev", "score": 8, "maxScore": 10 },
      { "id": "commit_hygiene", "name": "Commit Hygiene", "score": 13, "maxScore": 15 },
      { "id": "cicd_integration", "name": "CI/CD Integration", "score": 11, "maxScore": 15 },
      { "id": "eval_quality", "name": "Eval & Quality", "score": 7, "maxScore": 10 },
      { "id": "testing_maturity", "name": "Testing Maturity", "score": 8, "maxScore": 10 },
      { "id": "ai_observability", "name": "AI Observability", "score": 5, "maxScore": 10 },
      { "id": "governance", "name": "Governance", "score": 1, "maxScore": 5 },
      { "id": "agent_workflows", "name": "Agent Workflows", "score": 3, "maxScore": 5 },
      { "id": "platform_reuse", "name": "Platform Reuse", "score": 1, "maxScore": 5 },
      { "id": "documentation", "name": "Documentation", "score": 3, "maxScore": 3 },
      { "id": "dependencies", "name": "Dependencies", "score": 2, "maxScore": 2 }
    ],
    "scannerTotal": 71,
    "interviewScores": [
      {
        "id": "ai_tooling_landscape",
        "name": "AI Tooling Landscape",
        "score": 14,
        "maxScore": 15,
        "keyFindings": [
          "Claude Code deployed via Bedrock across all 5 squads with standardized configuration",
          "CLAUDE.md in every repository, reviewed quarterly",
          "Kiro IDE is the default IDE for 24 of 28 engineers",
          "Custom Claude Code extensions for internal tooling built by platform team"
        ]
      },
      {
        "id": "dev_workflow_specs",
        "name": "Development Workflow & Specs",
        "score": 16,
        "maxScore": 20,
        "keyFindings": [
          "Feature specs mandatory for all new work; enforced via PR template",
          "Bug fix and refactor specs adopted by 3 of 5 squads",
          "Spec quality varies -- some are too brief, missing acceptance criteria",
          "Automated spec-to-PR linking in place via GitHub Actions"
        ]
      },
      {
        "id": "cicd_quality",
        "name": "CI/CD & Quality",
        "score": 15,
        "maxScore": 20,
        "keyFindings": [
          "GitHub Actions with comprehensive lint, test, build, and security scan steps",
          "Basic eval gate exists but uses threshold of 0 (everything passes)",
          "Test coverage at 81%, well above average",
          "Bedrock Evaluation integration started but not yet gating PRs"
        ]
      },
      {
        "id": "metrics_visibility",
        "name": "Metrics & Visibility",
        "score": 8,
        "maxScore": 15,
        "keyFindings": [
          "Custom Datadog dashboard tracks commit volumes and deployment frequency",
          "AI-origin trailer data collected but not visualized",
          "No AI acceptance rate or cost-per-commit metrics",
          "Engineering VP reviews velocity metrics weekly but not AI-specific ones"
        ]
      },
      {
        "id": "governance_security",
        "name": "Governance & Security",
        "score": 5,
        "maxScore": 15,
        "keyFindings": [
          "SOC 2 compliant: strong data handling for production systems",
          "AI governance policy is informal and undocumented",
          "No agent autonomy levels defined -- all engineers have full access",
          "Security review of AI-generated code relies solely on human PR review",
          "No cost controls on Bedrock usage"
        ]
      },
      {
        "id": "org_culture",
        "name": "Org & Culture",
        "score": 13,
        "maxScore": 15,
        "keyFindings": [
          "CTO leads AI adoption strategy personally",
          "Two dedicated platform engineers focused on developer tooling",
          "Monthly internal AI showcase with cross-team presentations",
          "New hire onboarding includes AI tooling training module"
        ]
      }
    ],
    "interviewTotal": 71,
    "orgReadiness": {
      "executiveSponsor": true,
      "dedicatedChampion": true,
      "teamWillingness": true,
      "budgetApproved": true,
      "timelineCommitment": true,
      "totalScore": 20
    },
    "blendedScore": 76.8,
    "prismLevel": 3.5,
    "verdict": "READY_FOR_PILOT"
  },
  "onboardingPlan": {
    "track": "C",
    "trackName": "Accelerated",
    "customer": {
      "name": "Vectrix AI",
      "teamSize": 28,
      "fundingStage": "Series C"
    },
    "prismLevel": 3.5,
    "verdict": "READY_FOR_PILOT",
    "workshopModules": [
      { "id": "M00", "name": "Environment Setup", "included": false, "reason": "Already have a working setup" },
      { "id": "M01", "name": "CLAUDE.md & Standards", "included": false, "reason": "Already adopted standards" },
      { "id": "M02", "name": "Spec-Driven Development", "included": false, "reason": "Already practicing spec-driven dev" },
      { "id": "M03", "name": "CI/CD & Eval Gates", "included": true, "reason": "Close eval and quality gaps" },
      { "id": "M04", "name": "Metrics & Dashboards", "included": true, "reason": "Deploy advanced observability" },
      { "id": "M05", "name": "Governance & Scaling", "included": true, "reason": "Formalize governance for scale" }
    ],
    "preWork": [
      { "task": "Review assessment report and gap analysis in detail", "deadline": "3 days before workshop", "owner": "Team lead" },
      { "task": "Prepare access to CI/CD pipeline for eval gate integration", "deadline": "Before workshop", "owner": "Platform/DevOps lead" },
      { "task": "Identify the production endpoint for Bedrock Evaluation", "deadline": "Before workshop", "owner": "Platform/DevOps lead" },
      { "task": "Schedule executive readout for Week 2 of the pilot", "deadline": "Before workshop", "owner": "Engineering manager" }
    ],
    "bootstrapperComponents": [
      { "component": "CI/CD eval gate integration", "priority": "immediate" },
      { "component": "Advanced metrics pipeline upgrades", "priority": "immediate" },
      { "component": "Governance policy documentation", "priority": "week1" },
      { "component": "Advanced QuickSight dashboard views", "priority": "week1" },
      { "component": "Agent workflow automation templates", "priority": "week2" }
    ],
    "gapRemediation": [
      {
        "gap": "#1",
        "category": "Governance (scanner)",
        "score": "1/5 (20%)",
        "action": "Create an AI usage governance charter. Define approval workflows for agent autonomy levels. Document data handling policies."
      },
      {
        "gap": "#2",
        "category": "Platform Reuse (scanner)",
        "score": "1/5 (20%)",
        "action": "Audit for reusable AI components. Create a shared prompt library. Establish a pattern catalog for common AI-assisted tasks."
      },
      {
        "gap": "#3",
        "category": "Governance & Security (interview)",
        "score": "5/15 (33%)",
        "action": "Draft an AI governance charter. Address data residency and PII concerns. Define security review requirements for AI-generated code."
      }
    ],
    "successMetrics": [
      { "metric": "Top-3 gap category scores", "target": "50%+ improvement", "measureBy": "Week 4" },
      { "metric": "PRISM D1 level", "target": "Reach L3.5+", "measureBy": "Week 8" },
      { "metric": "Governance model", "target": "Documented and adopted", "measureBy": "Week 2" },
      { "metric": "Advanced dashboards", "target": "Live with trend data", "measureBy": "Week 4" }
    ],
    "milestones": [
      { "week": 1, "milestone": "Gap remediation started", "measurable": "Top-3 gaps have action plans in progress" },
      { "week": 2, "milestone": "Advanced dashboards deployed", "measurable": "Custom views live with trend analysis" },
      { "week": 4, "milestone": "Midpoint checkpoint passed", "measurable": "Top-3 gaps improved 50%+" },
      { "week": 8, "milestone": "L3.5+ achieved, pilot complete", "measurable": "Re-assessment confirms L3.5+" },
      { "week": 12, "milestone": "L4 transition ready", "measurable": "Track D architecture review scheduled" }
    ],
    "saTouchpoints": [
      { "week": -1, "type": "Async prep", "duration": "15 min (Slack)", "agenda": "Share gap analysis, confirm workshop focus areas" },
      { "week": 0, "type": "Targeted workshop", "duration": "2 hr", "agenda": "Deliver Modules 03-05 with gap-specific exercises" },
      { "week": 2, "type": "Video call", "duration": "30 min", "agenda": "Verify gap remediation progress, review dashboards" },
      { "week": 4, "type": "Checkpoint call", "duration": "45 min", "agenda": "Midpoint review, gap score improvements, adjust plan" },
      { "week": 8, "type": "Pilot readout call", "duration": "1 hr", "agenda": "Final readout, L3.5+ confirmation, L4 transition plan" }
    ]
  }
}
