Agentic AI chains steps together — reading, deciding and acting with limited human involvement between actions. That autonomy is the point, and also the problem: the more an agent does on its own, the harder it is to see, control and evidence each step.
Native guardrails help, but they optimise for capability and speed and cannot interpret your firm's obligations. They rarely reflect your roles, your jurisdiction or your evidence duties, and they are inconsistent across a multi-model estate.
An independent control layer addresses the gap by applying your policies at runtime, intervening when required and creating a reviewable trail. It does not replace your compliance function — it gives that function something to see and act on.
This is the role norse3 is built for: an oversight layer above the model, the cloud and the chatbot, keeping humans in control of the decisions that matter.
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