Was the action still authorized
when it actually happened?
An AI agent can request a payment, refund, claim decision, or supplier change. The approval, business rules, and current facts may live in different systems. PayReality connects those records to the exact action, checks the applicable authority before a connected system executes it, and relates the destination's reported outcome back to what was approved.
The demo follows an AI agent attempting a real enterprise action, in a live, simulated environment.
An approval has a history. An action has an outcome.
A payment may be approved on Monday and sent on Thursday. Between those moments, its amount, destination, supporting facts, or the approver's authority can change. Your existing systems may already detect some changes. The operational question is whether they can show, for this exact action, which authority applied at execution and what the destination actually reported.
One connected workflow, not five separate tools.
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.
Follow one payment from approval to outcome.
- 1
A director approves a specific supplier payment under a recorded limit and policy version.
- 2
The payment waits. A relevant fact or authority changes. The customer's agreed rules determine whether the pending payment needs a new approval.
- 3
A connected enforcement point checks the action before any new execution. If it is dispatched and the bank's response is missing, the outcome remains unknown until reliable destination evidence resolves it. Investigating the original operation does not itself authorize another payment.
- 4
The record retains the original approval, subsequent changes, execution decision, and destination-reported result or unresolved state.
This walkthrough illustrates the intended workflow across one payment, in a simulated environment. Which parts are implemented, which require your own integration, and which are still planned is detailed below.
What's implemented, what needs your integration, and what's ahead.
Today's implementation covers policy interpretation and human review, live evaluation of one delegation, and action-bound authorization. Trusted enterprise context, effective enforcement, and reconciliation depend on customer integration. Discovery of affected pending actions after an authority change, and recovery of ambiguous post-dispatch outcomes, are planned and to be tested, not production-ready claims.
AI proposes a structured interpretation; deterministic checks and human review gate activation.
A single delegation is evaluated live and denied the moment it's revoked or expired.
Facts and independently-reported actions come from sources you configure, not a packaged connector.
A short-lived, single-use authorization is tied to the exact reviewed request.
PayReality issues the authorization; your own integrated enforcement point makes it effective.
Reconciliation logic is implemented; it depends on your destination system reporting back.
Today's narrowing check covers one delegation hop, not a full multi-agent chain end to end.
Verification without depending on PayReality's own systems is on the roadmap, not shipped.
Detecting that a change to an approver's own authority after approval should force revalidation before execution is a direction we're investigating, not a built capability.
Resolving what actually happened when an execution report never arrives, or is ambiguous, is a direction we're investigating, not a built capability.
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.
Test the whole journey
on one workflow.
We select one consequential action with its owner, agree how authority changes should affect it, and compare PayReality with the controls you already use. We measure which records are available, what each approach can answer, the effort to connect the systems, and the cost of manual investigation.
At the end, an accountable owner decides on a scoped, priced next step, declines with a reason, or defers with a named condition and date.
Also exploring: a discovery programme for procurement AI vendors