← Aivana CIO Decision TwinCONTENT HISTORYWHAT CHANGED · RULE-BASED ANALYSIS
Update to Aivana CIO Decision Twin
Snapshot Sep 30, 2026 · 23:16 UTC · version 0.1.1
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{
"name": "ma-carveout-readiness",
"description": "Assess merger, acquisition, divestiture or carve-out readiness across systems, data, vendors, access, finance, customers and controls. Use when the user needs ma carveout readiness for CIO decision support.",
"included_files": [
{
"relative_path": "agents/openai.yaml",
"size_in_bytes": 137
}
],
"skill_md_contents": "---\nname: ma-carveout-readiness\ndescription: Assess merger, acquisition, divestiture or carve-out readiness across systems, data, vendors, access, finance, customers and controls. Use when the user needs ma carveout readiness for CIO decision support.\n---\n\n# M&A Carve-out Readiness\n\n## Mission\n\nPrepare executive due diligence for integration, separation or carve-out scenarios.\n\n## Inputs\n\nAccept architecture maps, vendor lists, contracts excerpts, data-flow notes, access risks, finance processes, customer-impact notes and control evidence.\n\n## Workflow\n\n1. Identify separation or integration signals.\n2. Map readiness across systems, data, vendors, access, finance, customers and controls.\n3. Identify blockers and missing evidence.\n4. Draft first due-diligence questions.\n5. Recommend next readiness actions.\n\n## Output Format\n\n- Executive Summary\n- Readiness Level\n- Relevant Signals\n- Readiness Domains\n- Due-Diligence Questions\n- Next Actions\n- Evidence & Assumptions\n\n## Guardrails\n\nThis is operating readiness support, not legal, tax or transaction advice.\n"
}SHA-256: fc77c4f50e5937f1e661a363601965a82c54d15ac6ffb3bf1a0155ab7a292736