ENTERPRISE AI AUTHORITY INFRASTRUCTURE

The Authority Layer
for Autonomous AI

Organizations already know how to delegate authority to people. They have no infrastructure to delegate it safely to AI. PayReality determines whether an AI system is actually authorized to execute a business action, before it executes it.

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Pre-execution
Authority decisions
Deterministic
Approve · Reject · Review
Cryptographic
Verifiable evidence
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01 / THE CORE IDEA

We don't make AI smarter.
We make it obedient.

Enterprises already know how to delegate authority. PayReality makes autonomous systems obey it, before every action executes.

TODAY
Enterprise Policy
Humans
Execution
TOMORROW
Enterprise Policy
PayReality
Humans
AI Agents
Robots
Automation
Execution
02 / THE PROBLEM

AI is moving from
recommendation to execution

AI already knows how to perform the work. It does not know whether it's authorized to. As AI moves from recommending actions to executing them, enterprises need infrastructure that answers that second question, every time, before the action happens.

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.
The Authority Layer
The infrastructure that determines whether that execution was actually authorized.
03 / WHY PAYREALITY

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.

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.

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 compiles them into rules an AI runtime can enforce, without asking you to rebuild any of them.

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Delegation of Authority
Approval Matrices
Procurement Policy
Risk Frameworks
Internal Controls
Audit Processes
↓ PayReality compiles these into enforceable rules
04 / EXPLORE THE PLATFORM

Four ways into the same runtime

Platform

Learn the Runtime Authority architecture: how the Authority Graph, Runtime Policies, and Evidence Portal fit together.

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Products

Explore the components: Runtime Authority, the Authority Graph, Runtime Policies, the Evidence Portal, and Authorization Receipts.

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Developers

Integrate Runtime Authority: register an agent, submit a signed intent, and get a decision and evidence back.

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Solutions

See how Runtime Authority applies to your industry's own delegated authority and approval workflows.

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05 / GET STARTED

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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Or watch the 7-minute demo