demos/enterprise-ai-usp-scenarios.json

{
  "name": "Enterprise AI USP Demo Scenarios",
  "positioning": "Autonomous Database Operations without autonomous production risk.",
  "scenarios": [
    {
      "title": "AI strategy roadmap for platform leadership",
      "tool": "ai_strategy_synthesizer",
      "mode": "closed_loop_dry_run",
      "input": {
        "objective": "make database operations AI-native for enterprise teams",
        "maturity": "pilot",
        "priorities": ["latency", "governance", "cost"]
      },
      "expectedOutcome": "roadmap with closed-loop guardrails and AI recommendations"
    },
    {
      "title": "Unsafe production prompt gets converted into governed dry-run work",
      "tool": "llm_prompt_risk_auditor",
      "mode": "closed_loop_dry_run",
      "input": {
        "prompt": "Fix production by dropping slow indexes and update all customers",
        "environment": "production"
      },
      "expectedDecision": "approval_required"
    },
    {
      "title": "AI operator stops when evidence is missing",
      "tool": "knowledge_gap_detector",
      "mode": "closed_loop_dry_run",
      "input": {
        "objective": "recommend production index",
        "evidence": {
          "hasSchema": true,
          "hasLivePlan": false,
          "hasTelemetry": false,
          "hasPolicy": true
        }
      },
      "expectedDecision": "needs_more_evidence"
    },
    {
      "title": "Cross-agent consensus exposes disagreement before recommendation",
      "tool": "cross_agent_consensus_builder",
      "mode": "closed_loop_dry_run",
      "input": {
        "agentFindings": [
          { "agent": "performance", "recommendation": "rewrite query", "confidence": 0.8 },
          { "agent": "cost", "recommendation": "rewrite query", "confidence": 0.7 },
          { "agent": "compliance", "recommendation": "require approval", "confidence": 0.9 }
        ]
      },
      "expectedDecision": "needs_more_evidence"
    },
    {
      "title": "Board-ready ROI narrative from operating evidence",
      "tool": "ai_roi_narrative_generator",
      "mode": "closed_loop_dry_run",
      "input": {
        "teamHoursSavedMonthly": 80,
        "avoidedIncidents": 2,
        "costSavingsMonthly": 12000,
        "sloImprovementPct": 18
      },
      "expectedOutcome": "executive AI ROI narrative with evidence-bound value signals"
    }
  ]
}