Update to Aivana CIO Decision Twin

{
  "name": "finance-investment-intelligence",
  "description": "Analyze cost trends, budget deviations, cost drivers, investment cases, forecast risk, savings potential and financial impact across enterprise initiatives. Use for CIO/CFO alignment and investment decisions. Use when the user needs finance investment intelligence for CIO decision support.",
  "included_files": [
    {
      "relative_path": "agents/openai.yaml",
      "size_in_bytes": 147
    }
  ],
  "skill_md_contents": "---\nname: finance-investment-intelligence\ndescription: Analyze cost trends, budget deviations, cost drivers, investment cases, forecast risk, savings potential and financial impact across enterprise initiatives. Use for CIO/CFO alignment and investment decisions. Use when the user needs finance investment intelligence for CIO decision support.\n---\n\n# Finance Investment Intelligence\n\n## Mission\n\nConnect financial signals to enterprise decisions, delivery risk, technology choices and operating priorities.\n\n## Inputs\n\nAccept budget tables, forecast notes, cost-center summaries, vendor spend, project business cases, savings initiatives, cloud cost data, investment proposals and portfolio data.\n\n## Workflow\n\n1. Normalize financial context by period, owner, cost type, initiative, system, vendor and business outcome.\n2. Detect budget deviations, forecast risk, cost-driver concentration and underfunded critical work.\n3. Link financial issues to projects, systems, risks, resources, compliance and strategic outcomes.\n4. Compare investment options by value, risk, dependency, timing, reversibility and operating impact.\n5. Identify savings opportunities that do not create hidden operational or security risk.\n6. Produce decision-ready CIO/CFO recommendations.\n\n## Output Format\n\n- Executive Summary\n- Financial Situation\n- Budget / Forecast Deviations\n- Cost Drivers\n- Investment Options\n- Savings Opportunities\n- Financial Risks\n- Recommended Decisions\n- Evidence & Assumptions\n- Missing Data\n\n## Guardrails\n\nDo not invent numeric precision. Where data is qualitative, label financial outputs as directional.\n"
}