THE BUSINESS-AUTHORITY LAYER FOR CONSEQUENTIAL AI ACTIONS

Connect business authority
to consequential AI actions.

PayReality connects approved business rules and current enterprise facts to action authorization, integrated enforcement, and execution evidence, helping teams establish, maintain, and explain control over AI workflows.

Explore the demo

The demo follows an AI agent attempting a real enterprise action, in a live, simulated environment.

A consequential action rarely depends on just one system.

The rules, approvals, and facts a specific AI action needs are often spread across several systems. Keeping those relationships current, and reconstructing why a past decision was allowed, can take real implementation and operational work, work that grows with every new workflow and every rule change.

PayReality aims to connect that lifecycle into one workflow your team can manage: less repeated manual checking, less repeated engineering work for supported workflows, more controlled changes to authority rules, and an easier way to reconstruct a decision and what was reported to have happened.

These are outcomes we're validating with pilot customers, not results already measured. Existing systems may already deliver some or all of this today; a pilot is how that gets checked, not assumed.

One connected workflow, not five separate tools.

Approved business rules
Required enterprise facts
Exact-action evaluation
Human review where required
Integrated enforcement
Reported execution & reconciliation
Connected evidence

AI proposes an interpretation; an authorized human approves it before it can govern anything, a different event from approving one action later. An Allow decision is not execution: your integrated enforcement point makes it effective, and reconciliation depends on an authenticated report coming back from it. Delegation continuity and policy change management support this workflow without becoming a separate story of their own.

An AI agent tries to change a supplier's bank details.

Attempted actionChange supplier bank details
Applicable ruleBank-detail changes require review
DecisionNeeds human review
Review resolutionApproved, as a separate linked record
AuthorizationApplied through your enforcement point
Reported outcomeNot demonstrated in this scenario
Changing where a payment goes is exactly the action this organization's policy routes to a human every time. PayReality determines whether the action is within delegated authority; it doesn't independently verify who owns the account or score the action for fraud itself. The original decision still reads "Needs human review" afterward, unchanged, the approval is a separate, linked record. Where a destination reports execution back, reconciling that report is a supported, configurable stage in the workflow; this scenario doesn't demonstrate one completing.

What's implemented, what needs your integration, and what's ahead.

Authority interpretation & human reviewIMPLEMENTED AND TESTED

AI proposes a structured interpretation; deterministic checks and human review gate activation.

Policy evaluation & delegation checksIMPLEMENTED AND TESTED

A single delegation is evaluated live and denied the moment it's revoked or expired.

Enterprise facts & trusted action contextREQUIRES CUSTOMER INTEGRATION

Facts and independently-reported actions come from sources you configure, not a packaged connector.

Action-bound approval & authorizationIMPLEMENTED AND TESTED

A short-lived, single-use authorization is tied to the exact reviewed request.

Enforcement integrationREFERENCE IMPLEMENTATION

PayReality issues the authorization; your own integrated enforcement point makes it effective.

Execution receipts & reconciliationREQUIRES CUSTOMER INTEGRATION

Reconciliation logic is implemented; it depends on your destination system reporting back.

Multi-agent chain verificationPLANNED

Today's narrowing check covers one delegation hop, not a full multi-agent chain end to end.

Portable, independent evidence verificationPLANNED

Verification without depending on PayReality's own systems is on the roadmap, not shipped.

Statuses reflect evidence gathered in prior technical audits of this platform, not claims made because code exists or a test suite passes. A pilot re-checks the ones that matter for your specific workflow.

A layer, not a replacement.

PayReality integrates with the identity, business, policy, and execution systems you already run. Setting up an integration defines which sources supply the facts a decision needs, which system stays the owner of that decision, where enforcement actually happens, and which execution reports are available to reconcile against.

No packaged connector for a specific named vendor ships today, and no vendor partnership is documented. Each integration is configured against your own systems, not assumed to fit every stack.

Identity
Business systems
Policy & orchestration
PayReality

One consequential workflow.
A controlled evaluation against your existing process.

We agree the workflow and its owner, the current baseline, required integrations and available evidence, success criteria, and the right testing and assurance boundaries, before anything runs. Useful measures include implementation effort, manual review effort, evidence completeness, and how long it takes to reconstruct a decision, not a promised improvement.

Where PayReality's evaluation differs from your existing controls, that difference gets investigated; it isn't automatically your process's fault. Moving beyond a pilot into production enforcement needs its own readiness assessment and agreed scope, nothing here promises automatic progression.

Also exploring: a discovery programme for procurement AI vendors