LLM, AIMay 258 min

DARA Your UR AI Defensible? Three Questions to Ask Before You Buy Copy 3

Foundation models will enter utilization review. The question is which architecture you can still operate — and defend — eighteen months from now.

GTS
Ground Truth Systems
Clinical AI Governance
DARA Your UR AI Defensible? Three Questions to Ask Before You Buy Copy 3

Foundation models are extraordinarily capable. The question is not whether to use AI — it is which architecture you can defend eighteen months from now.

Foundation models are extraordinarily capable, and they will become part of UR workflows. The question is not whether to use AI. It is which architecture you can defend eighteen months from now.

The difference between AI you can deploy in regulated decision work and AI you cannot is rarely visible in the demo. It shows up later — when the system has to be defended, debugged, or improved. Three questions cut through the marketing faster than any feature checklist.

Question 01 — Control

Where does the human approval gate sit?

The right answer is that any AI-generated determination that leaves the system does so only after an explicit authorization step appropriate to the decision type, risk level, and governing rules.

Red Flag Answer
"The AI generates the determination and your reviewer can review it." That is not a control. Vigilance does not scale.
The approval gate is where the management of an AI agent actually begins.
Control Principle · GTS COMAND

Foundation models are extraordinarily capable. The question is not whether to use AI — it is which architecture you can defend eighteen months from now.

Foundation models are extraordinarily capable, and they will become part of UR workflows. The question is not whether to use AI. It is which architecture you can defend eighteen months from now.

The difference between AI you can deploy in regulated decision work and AI you cannot is rarely visible in the demo. It shows up later — when the system has to be defended, debugged, or improved. Three questions cut through the marketing faster than any feature checklist.

Question 01 — Control

Where does the human approval gate sit?

The right answer is that any AI-generated determination that leaves the system does so only after an explicit authorization step appropriate to the decision type, risk level, and governing rules.

Red Flag Answer
"The AI generates the determination and your reviewer can review it." That is not a control. Vigilance does not scale.
The approval gate is where the management of an AI agent actually begins.
Control Principle · GTS COMAND

Foundation models are extraordinarily capable. The question is not whether to use AI — it is which architecture you can defend eighteen months from now.

Foundation models are extraordinarily capable, and they will become part of UR workflows. The question is not whether to use AI. It is which architecture you can defend eighteen months from now.

The difference between AI you can deploy in regulated decision work and AI you cannot is rarely visible in the demo. It shows up later — when the system has to be defended, debugged, or improved. Three questions cut through the marketing faster than any feature checklist.

Question 01 — Control

Where does the human approval gate sit?

The right answer is that any AI-generated determination that leaves the system does so only after an explicit authorization step appropriate to the decision type, risk level, and governing rules.

Red Flag Answer
"The AI generates the determination and your reviewer can review it." That is not a control. Vigilance does not scale.
The approval gate is where the management of an AI agent actually begins.
Control Principle · GTS COMAND
About GTS COMAND

The operating discipline for AI in regulated decision work.

GTS COMAND is the agent operations platform built for utilization review — combining language model intelligence with deterministic guideline evaluation, explicit approval gates, and temporal audit trails. Control. Evaluate. Improve.

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