AI Payment Control Plane
The missing safety layer between AI agents and your money.
AI assistants draft payouts in plain language - "pay 850 USDC to Anna." APG checks every request against your policies, scores its risk, routes it for human approval, and executes only through a backend guard. The AI prepares; the backend, not the AI, moves the money.
• AI can draft, never execute - approvals and execution guards are enforced by the backend
• Policy + risk + approval - on every payout, before any money moves
• Immutable audit trail - who, what, and why for every money movement
• Crypto & fiat - one control layer across providers and rails
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How APG works
A request becomes money movement only after it passes every control. The AI prepares; the backend decides.
- 1AI
Draft
An AI assistant turns a plain-language request - or a CSV/PDF import - into a payment intent. It drafts only.
- 2Backend
Policy
Deterministic policy engine checks the intent against your organization's rules. Allow, block, or require approval.
- 3Backend
Risk
Transaction risk is scored - new recipient, amount thresholds, velocity, duplicates, off-hours.
- 4Human
Approval
A person approves sensitive payouts. The creator can't approve their own. Execution stops here until they do.
- 5Backend guard
Execute
Only after every gate passes, a backend execution guard moves the money through the provider - idempotently.
- 6System
Audit
Every decision and action is written to an immutable trail: who, what, and why for each money movement.
The AI appears once - at step 1. It can never approve, execute, or move money on its own.
Ask in plain language. Get a draft, not a payment.
The assistant prepares a payment intent and stops. A human approves before anything moves.
- Recipient
- Anna Petrova (contact)
- Amount
- 850.00 USDC
- Policy
- Requires approval (over $500)
- Risk
- Low · known recipient
Illustrative example.
Import a spreadsheet. Review a queue, not a pile of payments.
APG extracts rows, matches contacts, and flags anything ambiguous - then builds an approval queue.
- Draft ready
Anna Petrova
850.00 USDC
- Draft ready
BrightLabs LLC
1,200.00 USDC
- Needs review
M. Cohen
430.00 USDC
- Draft ready
Studio Nord
2,000.00 USDC
- Unresolved
(unknown payee)
75.00 USDC
Illustrative. Ambiguous and unresolved rows are held, never guessed - and nothing executes without approval.
One control layer before money moves
Requests never reach your payment rails directly. Everything passes through APG.
Deterministic backend services. The AI can draft a request, but it can never move past this layer on its own.
Built for finance teams that can't take chances
The controls your auditor asks about - enforced by the backend, not promised by the AI.
Separation of duties
The person who drafts a payout can't approve their own. Roles are enforced server-side.
Human approval required
AI can't approve or execute. A person signs off on sensitive payouts before any money moves.
Immutable audit trail
Every decision and action is recorded - who, what, and why - for each money movement.
Deterministic enforcement
Policy and risk verdicts come from backend services, every time - never a probabilistic model.
Idempotent execution
Provider timeouts and retries can't double-pay. Execution is guarded and idempotent.
Organization isolation
Data is isolated per organization at the database level, with role-based access.
Honest about maturity: testnet today, real-money pilots gated on documented controls. No autonomous payments - ever.