AI PROPOSES
A model or agent produces a proposed action.
DECISIONAUTHORITYVIEW DEMOPRE-EXECUTION AUTHORIZATION FOR AI ACTIONS
Decision Authority evaluates whether a proposed AI action has the required policy and human authority before consequential execution is permitted.
DECISION AUTHORITYPOLICY + AUTHORITYEXECUTION BOUNDARYTHE MODEL DOES NOT CONTROL THE ACTION.
Modern AI systems can recognize, classify, recommend, route, select tools and prepare actions. None of those capabilities independently establishes permission for a consequential action to occur.
Decision Authority places an authorization boundary between AI output and real-world execution.
Decision Authority separates an AI system’s ability to propose from the governed conditions required for an action to proceed.
A model or agent produces a proposed action.
Applicable rules and conditions are evaluated.
Required authority is verified, including authorized human review where required.
The system determines whether the action may cross the execution boundary.
Only an appropriately authorized action may proceed.
Each state answers a different question. None should be collapsed into the next.
The proposed action satisfies a relevant eligibility, recognition, routing or policy-matching condition.
The required authority conditions have actually been established.
The action has passed the required pre-execution controls necessary to permit execution.
The permitted action has actually occurred and is recorded as a distinct event.
These conceptual workflows illustrate the control point without representing customer deployments or production use.
AI proposes an action in a prior-authorization, claims or related workflow. Decision Authority determines whether the required policy and human authority conditions exist before consequential execution.
REVIEW REQUIRED Routed to an authorized human reviewer. Execution waits for a decision.
An AI-proposed financial or operational action reaches the policy and authority boundary before downstream execution may proceed.
DENY The proposed action stops at the authority boundary. No consequential execution proceeds.
An agent may select a tool or prepare an external action. Decision Authority provides the pre-execution control boundary required before that action can affect a downstream system.
ALLOW May advance. Established authority and execution validation are still required.
A capable model can still have zero independent authority to cause a consequential external action.
A model reasoning that an action should occur does not grant permission for the action.
High confidence in a prediction or recommendation does not establish authorization.
Selecting a tool or preparing a valid request does not create permission to invoke it.
Producing an output does not authorize that output to cause an external action.
aiRLOC™ is the Decision Authority product: a pre-execution authorization control layer positioned between an AI proposal and consequential effect.
A model may inform a decision. It does not originate the authority required to make a consequential action permissible.
A focused briefing on why AI capability, authorization and execution must remain distinct.
OPEN INVESTOR BRIEFING
A physician-trained founder with experience across healthcare commercialization, medical sales, enterprise relationships and technology.
Decision Authority began with a precise question: as AI systems become capable of proposing consequential actions, what external control determines whether those actions are permitted to occur?
“Intelligence can propose. It does not automatically possess authority.”
Discuss a specific consequential workflow and the authorization boundary required before execution.
Public materials intentionally omit proprietary control mechanics and security-sensitive implementation details.
