Proceed
Allow work to continue when applicable control conditions are satisfied.
Decision Control Plane™
What is a Decision Control Plane?
A Decision Control Plane is a decision-level control layer for consequential AI workflows. It determines how a proposed action should be handled — proceed, verify, review, or hold — based on the situation, rather than forcing the same blanket human review on every case.
For leaders accountable for AI-shaped approvals, recommendations, determinations, or actions in regulated environments.
PROCEED
VERIFY
REVIEW
VERIFY
REVIEW
Direct answer
Control the handling of the action — not only the score of the model.
A model can look fine and the decision can still fail. DCP sits where AI influence meets a consequential action the organization may later have to explain.
Verify
Add verification when a case warrants additional scrutiny.
Review
Require qualified human review when judgment is needed before the action proceeds.
Hold or escalate
Stop the proposed action until the required issue is resolved.
What it is not
Not a model, not an ethics statement, not blanket human-in-the-loop.
DCP does not replace the clinician, payer, agency, or business owner. It does not approve or deny on its own as a substitute for accountable authority. It is also not “Responsible AI” language alone — it is an operating control pattern for when AI shapes actions with real consequences.
Where it fits in Design. Build. Prove. Scale.
Control becomes more important as AI takes on more consequential responsibility. DCP is the runtime and replay architecture when persistent decision-level control is warranted. Many buyers first need Design, Build, or Prove — not a control plane.
When to assess before you buy architecture
If the unresolved question is where authority is too coarse, too weak, or undefined for one consequential workflow, start with a Decision Control Assessment. If the unresolved question is whether the pilot works, start with Pilot Efficacy & Scale Readiness.
Why organizations look for it
Useful automation needs precise authority — not maximum autonomy.
Coarse controls suppress value. Broad autonomy lets unsupported decisions reach the business. A decision control plane is one way to allocate handling response case by case as evidence, consequence, and operating conditions change.
Read the full Decision Control Plane page · Prior authorization example · When is an AI pilot ready to scale?
Next step
Is the blocker efficacy, authority, or both?
Bring one consequential workflow. We will route to Prove, Control, Build, or stop — without forcing a package.