Not based on a specific customer deployment. The company, figures, decisions, and outcomes below are a constructed example that shows how Intended’s mechanism applies to this kind of problem. They are not measured results from a named customer. Where we publish a real, attributed customer outcome, we will say so explicitly.
Governing Unauthorized AI Payment Approvals at a Fintech
Consider a growth-stage fintech whose AI agents handle invoice routing, payment approvals, and vendor payments across connectors like Stripe, NetSuite, and internal payment APIs.
01 · the challenge
The kind of problem this addresses.
02 · how it works
See the difference.
AI Agent receives invoice
Vendor: Acme Corp, Amount: $50,000
AI approves payment
No policy check, no risk scoring
Payment executes
$50,000 transferred
Log entry created
Flat text log, no evidence chain
03 · the solution
What they deployed.
- — Installed the FinOps domain pack (OI-500) with 38 payment-specific intent classifications
- — Configured thresholds: auto-approve below $5K, escalate $5K-$50K, deny above $50K without dual approval
- — Connected Stripe, NetSuite, and internal payment API via Intended connectors
- — Deployed in 15 minutes with zero code changes to existing AI agents
- — Enabled real-time Slack notifications for escalated payment decisions
04 · implementation
From zero to governed.
Day 1
Connect
Integrated Intended SDK into payment AI agents. Connected Stripe and NetSuite via pre-built connectors.
Day 2-3
Configure
Installed FinOps domain pack. Defined payment thresholds, vendor allowlists, and escalation workflows.
Day 4-5
Validate
Ran shadow mode on production traffic. Verified 100% of payment intents were correctly classified.
Day 6
Enforce
Switched from shadow to enforce mode. First unauthorized payment blocked within 2 hours.
05 · illustrative outcomes
What this is designed to deliver.
Modeled figures for this scenario — what the workflow above is built to achieve, not measured results from a named customer.
0%
Payments token-gated
No transaction executes without authority
0%
Decisions with evidence
Cryptographic proof before execution
0
Payment intents classified
Via the FinOps domain pack
0
Policy tiers
Auto-approve, escalate, deny
06 · decision replay
Example decisions, full trace.
Sample decision records that show the shape of the evidence Intended produces. Illustrative, not drawn from a live customer’s logs.
finops.payment.vendor-paymentRISK: 12/100ALLOW23msInvoice #INV-4821 from CloudHost Inc. for $2,340 monthly hosting
Resolved by: Policy: auto-approve < $5K, known vendor
finops.payment.vendor-paymentRISK: 54/100ESCALATE31msInvoice #INV-4822 from DataPipe Ltd. for $18,500 data processing
Resolved by: VP Finance (manual approval in 4m 12s)
finops.payment.vendor-paymentRISK: 8/100ALLOW19msInvoice #INV-4823 from Office Supplies Co. for $890
Resolved by: Policy: auto-approve < $5K, known vendor
finops.payment.vendor-paymentRISK: 91/100DENY18msInvoice #INV-4824 from Unknown Vendor LLC for $72,000 consulting
Resolved by: Policy: deny > $50K without dual approval + unknown vendor
finops.payment.batch-transferRISK: 38/100ALLOW42msBatch payroll transfer for 45 contractors, total $127,400
Resolved by: Policy: pre-authorized recurring batch, known payroll schedule
the takeaway
The shift is from reconstructing audit trails after the fact to having cryptographic proof of every payment decision before it executes. Authority is checked in-line, and the evidence bundle is produced as a by-product of the decision rather than assembled later for an auditor.
Why this pattern matters — not a customer quote.
Start governing AI payments
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