PRE-EXECUTION AUTHORIZATION FOR AI ACTIONS

AI can have intelligence.
Without having authority.

Decision Authority evaluates whether a proposed AI action has the required policy and human authority before consequential execution is permitted.

AI PROPOSES.POLICY GOVERNS.HUMAN AUTHORITY.
MATCHED≠AUTHORIZED≠EXECUTABLE≠EXECUTED
aiRLOC™PRE-EXECUTION CONTROL
AI / AGENTProposed actionIntelligence
Decision AuthorityDECISION AUTHORITYPOLICY + AUTHORITYEXECUTION BOUNDARY
DOWNSTREAMGoverned actionLocked until permitted

THE MODEL DOES NOT CONTROL THE ACTION.

THE MISSING CONTROL POINT / 01

The model can propose the action.
It does not authorize 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.

01RECOGNIZE02CLASSIFY03RECOMMEND04ROUTE05SELECT TOOLS06PREPARE ACTIONS
THE AUTHORITY BOUNDARY / 02

Downstream of reasoning.
Upstream of effect.

Decision Authority separates an AI system’s ability to propose from the governed conditions required for an action to proceed.

01

AI PROPOSES

A model or agent produces a proposed action.

02

POLICY EVALUATES

Applicable rules and conditions are evaluated.

03

AUTHORITY ESTABLISHED

Required authority is verified, including authorized human review where required.

04

EXECUTION VALIDATED

The system determines whether the action may cross the execution boundary.

05

GOVERNED ACTION

Only an appropriately authorized action may proceed.

SEE THE CONTROL / 03

Watch an AI action reach
the authority boundary.

Run the simulation to see why a matched action can still require human authority before execution becomes permissible.

Decision AuthorityAUTHORITY CONSOLE

PRE-EXECUTION CONTROL

SIMULATION
AUTHORITY PIPELINEREADY
AI PROPOSALACTIVE
MATCHEDPENDING
AUTHORIZEDLOCKED
EXECUTION AUTHORITY BOUNDARYCLOSED
EXECUTABLELOCKED
EXECUTEDLOCKED
PROPOSAL RECEIVEDPOLICY EVALUATEDAUTHORITY CHECKEDEXECUTION STATE DETERMINED
FOUR DISTINCT STATES / 04

Matched is not authorized.

MATCHED≠AUTHORIZED≠EXECUTABLE≠EXECUTED

Each state answers a different question. None should be collapsed into the next.

01

MATCHED

The proposed action satisfies a relevant eligibility, recognition, routing or policy-matching condition.

02

AUTHORIZED

The required authority conditions have actually been established.

03

EXECUTABLE

The action has passed the required pre-execution controls necessary to permit execution.

04

EXECUTED

The permitted action has actually occurred and is recorded as a distinct event.

ENTERPRISE USE CASES / 05

The same boundary.
Different consequences.

These conceptual workflows illustrate the control point without representing customer deployments or production use.

01 / INITIAL COMMERCIAL FOCUS

Healthcare / Insurance

Pre-execution authority in payer workflows.

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.

HEALTHCARE / INSURANCE REQUEST / CRITERIAILLUSTRATIVE WORKFLOW
Healthcare / Insurance: REVIEW REQUIREDAI proposal, policy evaluation, governance outcome. ALLOW can advance only through established authority and validated execution. Other outcomes stop or wait.01AI PROPOSALApprove requested treatmentDECISION AUTHORITY02POLICY EVALUATION03OUTCOME PENDINGAUTHORIZED HUMAN REVIEWExecution waitsPROPOSAL →CONSEQUENTIAL EXECUTION WAITS AT THE BOUNDARY.

REVIEW REQUIRED Routed to an authorized human reviewer. Execution waits for a decision.

02 / FINANCIAL SERVICES

Financial Services

A recommendation is not transaction authority.

An AI-proposed financial or operational action reaches the policy and authority boundary before downstream execution may proceed.

FINANCIAL SERVICES TRANSACTION / CONDITIONSILLUSTRATIVE WORKFLOW
Financial Services: DENYAI proposal, policy evaluation, governance outcome. ALLOW can advance only through established authority and validated execution. Other outcomes stop or wait.01AI PROPOSALRelease flagged transactionDECISION AUTHORITY02POLICY EVALUATION03OUTCOME PENDINGDENIEDExecution does not proceedPROPOSAL →CONSEQUENTIAL EXECUTION WAITS AT THE BOUNDARY.

DENY The proposed action stops at the authority boundary. No consequential execution proceeds.

03 / ENTERPRISE OPERATIONS

Enterprise Agents

Tool selection does not create permission.

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.

ENTERPRISE AGENTS TOOL / PAYLOADILLUSTRATIVE WORKFLOW
Enterprise Agents: ALLOWAI proposal, policy evaluation, governance outcome. ALLOW can advance only through established authority and validated execution. Other outcomes stop or wait.01AI PROPOSALInitiate downstream workflowDECISION AUTHORITY02POLICY EVALUATION03OUTCOME PENDING04AUTHORITYESTABLISHEDHuman authority preserved05EXECUTIONVALIDATED06GOVERNEDACTIONPROPOSAL →ALLOW ≠ EXECUTABLE. EACH DOWNSTREAM REQUIREMENT STILL APPLIES.

ALLOW May advance. Established authority and execution validation are still required.

CAPABILITY IS NOT AUTHORITY / 06

Four assumptions that should never cross
the execution boundary.

A capable model can still have zero independent authority to cause a consequential external action.

01

REASONING ≠ AUTHORITY

A model reasoning that an action should occur does not grant permission for the action.

02

CONFIDENCE ≠ AUTHORITY

High confidence in a prediction or recommendation does not establish authorization.

03

TOOL SELECTION ≠ AUTHORITY

Selecting a tool or preparing a valid request does not create permission to invoke it.

04

OUTPUT ≠ EXECUTION AUTHORITY

Producing an output does not authorize that output to cause an external action.

aiRLOC™ / PRE-EXECUTION INFRASTRUCTURE

Built for the moment
before action.

aiRLOC™ is the Decision Authority product: a pre-execution authorization control layer positioned between an AI proposal and consequential effect.

  • Pre-execution control
  • Deterministic authority evaluation
  • Auditable decisions
  • Human authority where required
01AI / AGENT
02PROPOSED ACTION
03DECISION AUTHORITY
04POLICY + AUTHORITY
05EXECUTION VALIDATION
06DOWNSTREAM SYSTEM
WHY THIS MATTERS / 07

Intelligence
is not authority.

A model may inform a decision. It does not originate the authority required to make a consequential action permissible.

AI PROPOSES.POLICY GOVERNS.HUMAN AUTHORITY.
Dr. Suthan Sangar, M.D., founder of Decision Authority
FOUNDER / 09

Dr. Suthan Sangar, M.D.

Founder, Decision Authority

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.”
TECHNICAL BRIEFING / 10

Evaluate Decision Authority.

Discuss a specific consequential workflow and the authorization boundary required before execution.

  • Authority-boundary walkthrough
  • Use-case discussion
  • Structured validation conversation

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Decision Authority shield

Put an authority boundary
between AI and action.

AI PROPOSES.POLICY GOVERNS.HUMAN AUTHORITY.
MATCHED≠AUTHORIZED≠EXECUTABLE≠EXECUTED