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.
AI is moving from
recommendation to execution
As soon as AI begins executing business actions on its own, enterprises need infrastructure that can answer one question: is this AI actually authorized to do this?
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.
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.
See how it worksA deterministic runtime,
not a review process
Policy is compiled once and signed by a human. From there, every AI intent is evaluated against it automatically, before execution.
Nine modules. One authority runtime.
Every component of PayReality works together to compile policy, evaluate intent, and record evidence for autonomous AI.
Command Center
A live view of every authority decision across every AI agent and business system: approved, rejected, or escalated.
Policy Studio
Upload Delegation of Authority documents and compile them into versioned, deterministic rules using Open Policy Agent.
Intent API
The interface AI agents call to submit an intended action for authorization before a single side effect occurs.
Authority Engine
The deterministic runtime that evaluates each intent against published policy and returns a binding decision.
Human Review Console
A structured queue for the intents your policy routes to a person, with full context and a binding resolution.
Simulation Sandbox
Run a new or edited policy against historical and synthetic intents to see its effect before you publish it.
Evidence Vault
An immutable, cryptographically signed record of every decision, the policy version behind it, and the intent that triggered it.
Assurance Dashboard
Audit-ready reporting on authority outcomes, override rates, and policy coverage across the organization.
Agent Directory
The record of which AI systems are permitted to submit intents, and under which policy scope.
A runtime between AI and
your systems of record
A policy compiler, a deterministic evaluation engine, and an evidence vault, sitting between every AI agent and the enterprise systems it acts on.
Built for the people
accountable for AI
Chief Information Officers
Get a definitive, auditable answer to whether an AI agent was authorized before it acted, not a best guess after the fact.
Chief Information Security Officers
Extend existing access controls to cover what AI agents are allowed to execute, not just what data they can reach.
Enterprise & Chief Architects
Deploy a runtime authority layer between AI agents and systems of record without re-architecting what already works.
Chief Risk Officers
Apply the delegated authority discipline your organization already uses for people to every autonomous AI action.
Heads of AI & Automation
Move AI from recommending actions to executing them, backed by a runtime that enforces authorization at every step.
Internal Audit & Compliance
Produce cryptographically verifiable evidence for every AI decision, ready for regulator, auditor, or board review.
Provable authority,
not just a log line
Every Approve, Reject, or Human Review decision generates cryptographically verifiable evidence automatically, not on request.
Wherever AI executes,
authority has to travel with it
Every AI action
needs authority.
Identity proved who the agent is. PayReality proves what it's authorized to do, before it does it.