You gave AI the ability to act.
Who decides what it's actually allowed to do?
PayReality evaluates every AI-initiated action against the authority your organization has actually delegated, before it executes, and produces a signed, verifiable record of the decision.
Follow an AI agent attempting a real enterprise action, in a live, simulated environment.
AI is moving from assistance,
to execution, to workforce
Organizations are increasingly comfortable with AI executing real-world actions on its own. The next step is AI operating as a standing part of the workforce, not a tool invoked occasionally. What hasn't kept pace is who decides whether any of that activity is allowed.
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.
Access is not authority.
An agent can hold valid credentials, API access, and a real identity, and still lack the organization's actual authority to take a specific action. Identity answers who you are. PayReality answers what your organization has actually authorized you to do, here, under these conditions.
Every PayReality decision answers three questions.
PayReality only ever answers the third one. It never assumes an agent is trustworthy just because a Trusted Adapter exists, and it never claims to prove what happened downstream.
The Agent: a certificate-holding identity, acting for a specific principal, signing every request it makes.
A customer-controlled Trusted Adapter can independently report the real enterprise operation, translated through a deterministic, human-approved Action Mapping.
PayReality's Runtime Authority: has this organization actually delegated this agent the authority to do this, under these conditions, right now?
The Adapter never gives the agent authority, and it never proves the downstream action happened. It answers what's being attempted; PayReality alone answers whether it's authorized.
An AI agent tries to change a supplier's bank details.
This is the same scenario the interactive demo walks through, step by step.
What remains after a decision.
Every decision produces a signed, hash-chained record: who acted, what they attempted, which policy applied, and what PayReality decided. The Authorization Receipt packages that record into one shareable, human-readable view.
Your policies
already exist.
We make them machine-evaluable.
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 deterministically evaluate, without asking you to rebuild any of them.
See how it worksFour ways into the same runtime
Platform
Learn the Runtime Authority architecture: how the Authority Graph, Runtime Policies, and Evidence Portal fit together.
Products
Explore the components: Runtime Authority, the Authority Graph, Runtime Policies, the Evidence Portal, and Authorization Receipts.
Developers
Integrate Runtime Authority: register an agent, submit a signed intent, and get a decision and evidence back.
Solutions
See how Runtime Authority applies to your industry's own delegated authority and approval workflows.
Every AI action
needs authority.
Identity proved who the agent is. PayReality determines whether your organization has actually authorized what it's about to do, before it happens, and preserves the evidence.
Or watch the 7-minute walkthrough