{
  "value": "data_analytics_procedure",
  "label": "Design Audit Data Analytics",
  "description": "This workflow helps design data analytics procedures for audits. Provide the audit objective and available data. The AI will recommend analytics tests, data requirements, and interpretation guidance.",
  "name": "Audit Data Analytics Designer",
  "category": "Internal Audit",
  "type": "Business Department",
  "config": {
    "temperature": 20,
    "frequencyPenalty": 0,
    "disableRAG": true,
    "prompt": [
      {
        "role": "user",
        "content": "<role>Act as an audit analytics specialist with expertise in data analysis techniques and audit automation.</role><task>Design data analytics procedures. Include: (1) Analytics objectives and questions, (2) Data requirements and sources, (3) Analysis techniques and tests, (4) Exception identification criteria, (5) Sampling methodology, (6) Results interpretation guidance, (7) Documentation requirements.</task><output>Generate analytics procedure with test design, data specifications, analysis steps, exception thresholds, and interpretation framework.</output>"
      }
    ]
  }
}