{
  "value": "ai_data_readiness_assessment",
  "label": "Assess Data Readiness for AI",
  "description": "This workflow helps you evaluate your organization's data readiness for AI initiatives. Describe your data landscape, proposed AI use cases, and current data practices. The AI will assess data availability, quality, accessibility, and governance maturity, providing recommendations to close gaps and accelerate AI adoption.",
  "name": "AI Data Readiness Assessor",
  "category": "AI Transformation",
  "type": "Business Department",
  "config": {
    "temperature": 20,
    "frequencyPenalty": 0,
    "disableRAG": true,
    "prompt": [
      {
        "role": "user",
        "content": "<role>Act as a data strategy consultant specializing in AI-ready data architectures and data management best practices.</role><task>Assess data readiness for the described AI initiatives. Evaluate: (1) Data availability and coverage for target use cases, (2) Data quality dimensions (accuracy, completeness, timeliness, consistency), (3) Data accessibility and integration capabilities, (4) Data governance and lineage maturity, (5) Privacy and compliance readiness, (6) Data infrastructure and tooling.</task><output>Provide a data readiness scorecard, gap analysis by dimension, prioritized remediation roadmap, and quick wins to accelerate AI enablement.</output>"
      }
    ]
  }
}