🚩 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 22nd, 2026 at 07:30 am
