Executive Decision Packet
Mission
Create the signature decision artifact for The Autonomous CIO. Turn meeting notes, risk registers, budget updates, project status, architecture context, security findings, AI proposals or crisis signals into one governed executive decision packet.
Inputs
Accept mixed enterprise context, including meeting notes, risk registers, budget updates, portfolio status, audit findings, security concerns, AI use cases, vendor updates, architecture constraints, crisis notes and explicit decision requests.
Workflow
- Identify the request type: Board Prep, Crisis Command, AI Approval, Transformation Value, Portfolio Decision, Operating Review, Risk Escalation or General Executive Decision.
- State the selected reasoning chain and why it fits.
- Use the Codex host LLM as the primary semantic extraction layer: classify facts, inferences, assumptions, hypotheses, narratives, contradictions, entities, dependencies and missing evidence.
- Rank weak and strong signals by executive relevance, impact, urgency, dependency reach and uncertainty.
- Map the risk chain from signal to dependency, amplifier, business impact and decision pressure.
- Identify decision debt, contradictions, value leakage and governance gaps.
- Compare options by benefit, risk, dependency, reversibility and confidence.
- Simulate board pressure from CEO, CFO, CISO, Audit, regulator, customer or employee perspectives as relevant.
- Add Executive Decision Defense when approval, board exposure, risk acceptance, transformation value, audit/security controls or material commitment is involved.
- Recommend the action, safeguards, owner and first move.
- Prepare draft next steps for 24h, 7d and 30d without claiming external execution.
Executive Decision Defense
Include these sections when relevant:
- Decision Liability Shield
- Executive Blind Spot Radar
- Commitment Integrity Score
- Board Narrative Stress Test
- Autonomous Decision Memory Diff
- Value Realization Firewall
- Risk-to-Cash Translator
- Decision SLA Monitor
- Control Evidence Readiness
- Executive Attention Allocator
- Scenario Kill-Switch
- CIO Operating System Loop
Local Engine Support
When working in the local repository, engine/cli.py can generate reproducible outputs for this format. The Codex skill layer may provide an llm_extraction object to the local engine; the engine then uses that structured LLM extraction for deterministic scoring, risk mapping and dashboard generation. If no llm_extraction is provided, the engine falls back to local heuristics.
Treat the engine as a local support artifact only; do not imply live data access, automatic persistence or external action execution.
LLM Extraction Contract
When preparing engine-ready context, populate this optional object:
{
"llm_extraction": {
"facts": [],
"inferences": [],
"assumptions": [],
"hypotheses": [],
"narratives": [],
"contradictions": [],
"entities": [],
"dependencies": [],
"missing_evidence": []
}
}
Handoff Rules
- From
executive-truth-layer, preserve facts, assumptions, narratives, contradictions and missing evidence exactly.
- From
risk-chain-intelligence, preserve: signal -> dependency -> amplifier -> business impact -> decision pressure.
- From
decision-scenario-intelligence, preserve options, reversibility, sensitivities and kill criteria.
- From
board-challenger, preserve hardest questions and weak-answer risks.
- To
autonomous-action-framework, pass only draft actions with owner, approval and evidence gates.
- To
autonomous-executive-memory, pass decisions, assumptions, commitments and unresolved evidence gaps.
Output Format
- Request Type
- Selected Skill Chain
- Why This Chain
- Decision Needed
- Situation
- Facts vs Assumptions
- Risk Chain
- Options
- Board Challenge Questions
- Executive Decision Defense
- Recommended Action
- Missing Evidence
- Draft Next Steps: Next 24h / 7d / 30d
Guardrails
Do not claim live system access, automatic persistence or executed external actions. Treat legal, regulatory, HR, security and financial conclusions as decision support, not final specialist determinations. Make confidence and missing evidence visible.
1---2name: executive-decision-packet3description: Convert mixed enterprise context into the signature Executive Decision Packet with decision needed, facts vs assumptions, risk chain, options, board challenge questions, recommendation, missing evidence and draft next steps. Use when the user needs executive decision packet for CIO decision support.4---56# Executive Decision Packet78## Mission910Create the signature decision artifact for The Autonomous CIO. Turn meeting notes, risk registers, budget updates, project status, architecture context, security findings, AI proposals or crisis signals into one governed executive decision packet.1112## Inputs1314Accept mixed enterprise context, including meeting notes, risk registers, budget updates, portfolio status, audit findings, security concerns, AI use cases, vendor updates, architecture constraints, crisis notes and explicit decision requests.1516## Workflow17181. Identify the request type: Board Prep, Crisis Command, AI Approval, Transformation Value, Portfolio Decision, Operating Review, Risk Escalation or General Executive Decision.192. State the selected reasoning chain and why it fits.203. Use the Codex host LLM as the primary semantic extraction layer: classify facts, inferences, assumptions, hypotheses, narratives, contradictions, entities, dependencies and missing evidence.214. Rank weak and strong signals by executive relevance, impact, urgency, dependency reach and uncertainty.225. Map the risk chain from signal to dependency, amplifier, business impact and decision pressure.236. Identify decision debt, contradictions, value leakage and governance gaps.247. Compare options by benefit, risk, dependency, reversibility and confidence.258. Simulate board pressure from CEO, CFO, CISO, Audit, regulator, customer or employee perspectives as relevant.269. Add Executive Decision Defense when approval, board exposure, risk acceptance, transformation value, audit/security controls or material commitment is involved.2710. Recommend the action, safeguards, owner and first move.2811. Prepare draft next steps for 24h, 7d and 30d without claiming external execution.2930## Executive Decision Defense3132Include these sections when relevant:3334- Decision Liability Shield35- Executive Blind Spot Radar36- Commitment Integrity Score37- Board Narrative Stress Test38- Autonomous Decision Memory Diff39- Value Realization Firewall40- Risk-to-Cash Translator41- Decision SLA Monitor42- Control Evidence Readiness43- Executive Attention Allocator44- Scenario Kill-Switch45- CIO Operating System Loop4647## Local Engine Support4849When working in the local repository, `engine/cli.py` can generate reproducible outputs for this format. The Codex skill layer may provide an `llm_extraction` object to the local engine; the engine then uses that structured LLM extraction for deterministic scoring, risk mapping and dashboard generation. If no `llm_extraction` is provided, the engine falls back to local heuristics.5051Treat the engine as a local support artifact only; do not imply live data access, automatic persistence or external action execution.5253## LLM Extraction Contract5455When preparing engine-ready context, populate this optional object:5657```json58{59 "llm_extraction": {60 "facts": [],61 "inferences": [],62 "assumptions": [],63 "hypotheses": [],64 "narratives": [],65 "contradictions": [],66 "entities": [],67 "dependencies": [],68 "missing_evidence": []69 }70}71```7273## Handoff Rules7475- From `executive-truth-layer`, preserve facts, assumptions, narratives, contradictions and missing evidence exactly.76- From `risk-chain-intelligence`, preserve: signal -> dependency -> amplifier -> business impact -> decision pressure.77- From `decision-scenario-intelligence`, preserve options, reversibility, sensitivities and kill criteria.78- From `board-challenger`, preserve hardest questions and weak-answer risks.79- To `autonomous-action-framework`, pass only draft actions with owner, approval and evidence gates.80- To `autonomous-executive-memory`, pass decisions, assumptions, commitments and unresolved evidence gaps.8182## Output Format8384- Request Type85- Selected Skill Chain86- Why This Chain87- Decision Needed88- Situation89- Facts vs Assumptions90- Risk Chain91- Options92- Board Challenge Questions93- Executive Decision Defense94- Recommended Action95- Missing Evidence96- Draft Next Steps: Next 24h / 7d / 30d9798## Guardrails99100Do not claim live system access, automatic persistence or executed external actions. Treat legal, regulatory, HR, security and financial conclusions as decision support, not final specialist determinations. Make confidence and missing evidence visible.
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