🚩 AI agent governance must control 4 layers.

Every effective decision follows the same cycle: Observe → Orient → Decide → Act.

â­• Govern decisions without context, and logic executes on ungoverned inputs.
â­• Govern context without decisions, and quality data feeds a black box.
â­• Govern both without actions, and an authorized decision triggers an unauthorized consequence.
â­• Govern all three without agents, and the actors operating across time have no accountability.

The table tells the story:
→ Data platforms: context, partially
→ AI platforms: context and actions, partially
→ Policy engines: decisions, partially
→ Process platforms: scattered rules, partial context, partial agents
→ Decision platforms: decisions, but most not built on DMN

Every approach governs part of the cycle. None connect all four layers under a single governance model.

The result is not a minor gap. It is a structural one. Controls applied at disconnected points. Context lost between stages. Execution unconstrained at the boundary that matters most.

When a regulator asks what decision produced this outcome, what information it used, what logic it applied, what action it authorized, and who executed it, a partial answer is no answer.

Four layers. One complete cycle. No gaps.

👉 Learn what is a decision model at https://lnkd.in/g7J7y-Sh

#DecisionGovernance #AIAgents #AIGovernance

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Published May 12th, 2026 at 07:30 am