⛔ STOP fantasizing decision governance with Context Graphs or any other logs and trace for that matter!
Decision Governance has three pillars and if your organization does not satisfy any of those, you have no decision governance.
🔹Design Governance
How decisions are defined, structured, and changed:
• What the decision is
• What inputs it uses
• What logic determines the outcome
• Who owns and can change it
If a decision is implicit, scattered, or undocumented, governance is impossible.
Design Governance relies on modeling decisions explicitly.
🔹Execution Governance
How decisions are deployed and executed in production:
• Which decision version runs
• Where inputs are sourced from
• Where it runs (systems, channels, regions, etc.)
• How it is invoked and composed
• How consistency is enforced
Without execution control, even a well-designed decision becomes a liability.
Execution Governance ensures the right decision runs, in the right place, every time.
🔹Operational Governance (Ops)
How decisions perform and evolve over time:
• Monitoring outcomes and KPIs
• Understanding impact and side effects
• Detecting drift, bias, or degradation
• Managing exceptions and incidents
Most decisions do not fail once. They fail gradually.
Operational Governance ensures decisions remain aligned with business intent over time.
⚠️ Just connecting data and logs and hoping it flies in front of a regulator or auditor is just a fantasy.
💣 The fantasy of Decision Governance in the age of AI cannot become reality if Decision Governance is not systematically operationalized in your organization. Especially in insurance, financial services, banking, government and health.
💡 Decision Governance is not about guessing and speculating, it is about leading the business decisions with intent from the start.
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Posted here.
Published January 22nd, 2026 at 10:30 am
