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.
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.
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.
A deterministic runtime,
not a review process
Three capabilities, one runtime: authority modelling compiles your policy once; runtime validation evaluates every AI intent against it automatically, before execution; and every decision produces cryptographic evidence.
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.
Authority Modelling Studio
Upload Delegation of Authority documents and compile them into versioned, deterministic authority models 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.
Authority Simulation
Run a new or edited authority model 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
Heads of AI
Move AI from recommending actions to executing them, backed by a runtime that enforces authorization at every step.
Responsible AI & Governance
Give the AI governance framework you've already written a runtime that actually enforces it, not just documents it.
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.
Operational Risk
Get a definitive, auditable answer to whether an AI agent was authorized before it acted, not a best guess after the fact.
AI Platform Teams
Give every agent your platform runs a built-in authority check, enforced the same way no matter which model is behind it.
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
Insurance is not PayReality's primary customer. It's an ecosystem partner. The cryptographic evidence generated by every runtime decision strengthens underwriting, claims validation, and risk assessment for insurers covering autonomous AI deployments.
Every AI action
needs authority.
Identity proved who the agent is. PayReality proves what it's authorized to do, before it does it.