ENTERPRISE AI AUTHORITY INFRASTRUCTURE

Runtime Authority

The Enterprise AI Authority Infrastructure

Runtime Authority determines whether autonomous AI systems are authorized to execute real-world actions before they happen, by enforcing your organization's existing delegated authority.

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Pre-execution
Authority decisions
Deterministic
Approve · Reject · Review
Cryptographic
Verifiable evidence
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AI is moving from
assistance to execution

Organizations are increasingly comfortable with AI executing real-world actions on its own. They are not yet comfortable with AI deciding, on its own, whether it's allowed to.

Assistant
AI answers questions at human request. Humans decide and act.
Recommendation
AI proposes an action. A human still approves before anything happens.
Execution
AI initiates and executes business actions directly against enterprise systems.

Existing governance was
built for people.

Every enterprise already operates delegation of authority, approval matrices, procurement policy, and risk frameworks. They were written for a person to read, interpret, and follow. Nothing about them is evaluated at the moment an agent, rather than a person, decides to act.

Delegation of Authority
Approval Matrices
Procurement Policy
Risk Frameworks
Internal Controls
Audit Processes

AI reasons.
It doesn't authorize itself.

AI can reason, analyze, recommend, negotiate, and plan. None of that means it should decide whether a specific action is within its authority. That decision has to come from the organization, the same way it already does for every person who acts on the organization's behalf.

WHAT AI DOES
Reasons
Analyzes
Recommends
Negotiates
Plans
WHAT ONLY THE ORGANIZATION DECIDES
Whether this specific action, right now, is within the authority that's actually been delegated to this agent.

Governance exists. Enforcement doesn't.

Organizations have governance committees, IAM, and policy frameworks. None of them determine whether an AI is actually authorized to execute a given action. Identity asks who you are. Authority asks what you're allowed to do. Runtime Authority is the infrastructure that fills that gap.

GOVERNANCE & IAM
"Who is this, and what's the policy?"
Authenticates the system and documents the rule. Neither one evaluates a specific action against it.
ALREADY IN PLACE
THE GAP
Policy ≠ Enforcement
A written policy does not stop an AI agent from executing an unauthorized action
AUTHORITY RUNTIME (PAYREALITY)
"Is this action authorized, right now?"
Evaluates the specific intent against published policy and returns a binding decision before execution.
THE MISSING LAYER
RUNTIME AUTHORITY, DEFINED

Runtime Authority is the capability of determining whether an autonomous system has delegated authority to perform a specific action, immediately before execution. Not a policy on file. Not a log entry after the fact. A decision, made at the moment it matters.

AI Agent
Reasons
Requests Execution
Runtime Authority
Enterprise System

Your policies
already exist.
We make them enforceable.

Every enterprise already operates approval matrices, spending limits, delegation of authority policies, procurement policies, and risk frameworks. These were written for people. PayReality, the Enterprise AI Authority Infrastructure, compiles them into rules Runtime Authority can enforce, without asking you to rebuild any of them.

See how it works
Delegation of Authority
Approval Matrices
Procurement Policy
Risk Frameworks
↓ Runtime Authority compiles these into enforceable rules

Every AI action
needs authority.

Identity proved who the agent is. PayReality proves what it's authorized to do, before it does it.

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