Authority Continuity for Financial Services
AI agents are moving from generating payment recommendations to initiating them. PayReality evaluates each one against your delegated authority, so it can narrow within that authority but never expand beyond it, before it executes.
An approval matrix that isn't evaluated at the moment of action isn't a control
Banks and financial institutions already operate detailed approval matrices: who can move funds, at what threshold a second approver is required, which credit exceptions need escalation. These controls exist because a person acting outside their authority is a known, governed risk.
An AI agent initiating a payment, adjusting a credit line, or processing a claim carries the same exposure, except it can act at a volume and speed no manual review cadence was built to keep up with. The question isn't whether your approval matrix covers this. It's whether anything evaluates it before the agent acts, not after.
The same authority-continuity layer, evaluating your delegation
Your organization already has this authority: it's built into an approval matrix, a sign-off chain, a signing policy. The same Runtime Authority engine evaluates your own Authority Graph and Runtime Policies against every Intent: AI reasons, your organization authorizes, Runtime Authority decides. What changes by industry is whose authority it's evaluating, and what the workflow on either side of it looks like.
Where this shows up in financial services
Payment approvals
An agent initiating a payment is evaluated against the approving Principal's actual delegated limit and dual-approval thresholds before the payment executes.
Treasury
FX and cash movement actions are evaluated against treasury authority limits and counterparty constraints, the same way a human treasury officer's actions already are.
Credit operations
A credit line change or exception request is evaluated against the underwriting authority actually delegated to whoever (or whatever) is requesting it.
Claims
A claims payout action is evaluated against the approval authority and policy conditions active at the time, with the decision recorded as evidence.
Customer servicing
An account change or refund an agent proposes is evaluated against the servicing authority actually delegated for that account type and amount.
Governance defines authority. It was never evaluated at the moment of action
A written approval matrix tells a human what's permitted. It says nothing to a system evaluating an AI agent's action in real time, because nothing translates it into a form that system can evaluate. Runtime Authority's Authority Graph models your actual delegation structure (who can approve what, and to what extent), and Runtime Policies compile the specific conditions under which an action is permitted.
Every decision (Allowed, Not allowed, or Needs human approval) produces evidence the moment it's made, not a reconstruction assembled for an examiner later. See Authorization Receipts for where that evidence is headed next: a portable artifact a regulator or auditor can verify independently.
The scenarios above illustrate how that evaluation would apply to payment, treasury, credit, claims, and servicing actions. They're candidate workflows we're validating with early design partners, not a description of live deployments running in production at any financial institution today, and not the only industry Runtime Authority is built for.
See PayReality evaluate your own financial services workflow
Bring an existing approval policy from your organization. We'll show you the decision, in real time, before anything executes.