Check who can act.
Evaluate the request against the authority assigned to it.
Meet ÜProtocol
AI takes action.
You set the terms.
The governed control plane for AI execution. Check authority, enforce conditions, and keep a record of every decision—before an action reaches your systems.
For teams putting AI to work in consequential workflows.
Authority before actionConditions enforcedDecisions recorded
Experience the boundary
One request.
A consequential difference.
Start with missing evidence. Run the request. Then change the conditions and run it again.
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Simulation · No live systemsÜProtocolInteractive control plane demonstration
01 / Request
Release a work package.
A sample maintenance package needs verified isolation evidence and an authorized reviewer.
EquipmentPump P-204 · Sample asset
02 / Decision
What should happen next?
Run the request to see which conditions pass, which fail, and why.
Every run returns a decision record.Server-evaluated sample rules. No AI model, machinery, or broker connected.0 recent runs this session
AutoLOTO demonstrates software workflow controls. It does not perform or certify physical isolation. Sample records illustrate the decision flow; they are not production audit evidence.
From intent to accountable action
Make the boundary
part of the workflow.
When AI can act on business systems, a recommendation becomes an operational decision. ÜProtocol is designed to govern that transition.
Enforce what must be true.
Hold requests when required evidence, permissions, or operating limits are not satisfied.
Keep the decision explainable.
Bring the request, applied conditions, and outcome into a reviewable record.
Different domains. A consistent boundary.
Built around the action.
ÜProtocol is designed for use across domains and models. These demonstrations explore two domains through shared sample rules.
AutoLOTO
Explore how missing verification evidence can hold a workflow at the point of authorization.
Run the safety demoÜTrader with ÜSniper
ÜTrader is the trading product, with ÜSniper providing specialized intelligence and detection. Explore a sample order-size control.
Run the trading demo ÜTrader Early AccessCross-model integration and production deployment require separate validation. The demonstrations do not establish production readiness.
Start with one workflow
Where does AI need
a boundary in your business?
Bring a consequential action. Let’s discuss the authority, conditions, and evidence a focused pilot would need.
Talk to us about ÜProtocol Opens an email to founder@milliaire.ai