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 AI-Initiated Fraud Actions at a Digital Bank
Consider a digital-first bank whose AI agents handle transaction monitoring, account actions (freezes, limit changes), KYC verification, and customer service automation across a high volume of daily transactions.
01 · the challenge
The kind of problem this addresses.
02 · how it works
See the difference.
AI detects suspicious pattern
3 rapid transfers to new payee, total $47,000
AI freezes account
No graduated response, no risk scoring
Legitimate customer locked out
Wire transfers for home purchase
Customer complaint filed
No audit trail to explain AI decision
03 · the solution
What they deployed.
- — Installed Banking Operations domain pack with fraud detection, KYC, and account action intents
- — Configured graduated response: step-up auth for MEDIUM risk, freeze for HIGH/CRITICAL only
- — Customer behavioral context integrated into risk scoring (historical patterns reduce score)
- — All account actions require authority tokens with regulatory-grade evidence chains
- — Connected core banking system, fraud detection platform, and customer notification service
04 · implementation
From zero to governed.
Week 1
Map
Catalogued all AI agent account actions. Identified 18 action types across fraud, KYC, and customer service.
Week 2
Configure
Installed Banking Ops pack. Configured graduated response policies, behavioral context scoring, and escalation chains.
Week 3
Integrate
Connected core banking API, fraud detection engine, and customer notification services via Intended connectors.
Week 4
Enforce
Enabled enforcement. First graduated response (step-up auth instead of freeze) within 2 hours of going live.
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%
Account actions token-gated
Every freeze, limit change, and block carries authority
0%
Actions with audit trail
Regulatory-grade evidence by design
0
Graduated response tiers
Step-up auth before any hard freeze
<0ms
Per-decision overhead
Design target, in-line with the transaction
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.
banking.fraud.transaction-reviewRISK: 68/100ESCALATE24msAI flags 3 rapid transfers totaling $47K to new payee -- customer has home purchase history
Resolved by: Graduated response: step-up authentication (customer verified in 42s)
banking.fraud.account-freezeRISK: 96/100ALLOW12msAI detects credential stuffing attack on account, 47 failed login attempts from 12 IPs
Resolved by: Policy: auto-freeze for credential stuffing pattern (CRITICAL risk)
banking.kyc.identity-reverificationRISK: 52/100ALLOW28msAI triggers KYC re-verification for customer with address change + large withdrawal
Resolved by: Policy: KYC re-verification auto-approved for qualifying triggers
banking.fraud.transaction-blockRISK: 100/100ALLOW8msAI blocks $180K wire to sanctioned entity -- OFAC match on beneficiary
Resolved by: Policy: auto-block for OFAC sanctions match
banking.customer.limit-changeRISK: 44/100ESCALATE22msAI increases daily transfer limit from $10K to $50K based on customer request
Resolved by: Relationship Manager (approved after customer call in 6m)
the takeaway
Fraud controls usually trade off against customer experience: catch more, and you freeze more legitimate accounts. Intent classification plus graduated response breaks that trade-off — step-up auth instead of a freeze, verification instead of a lockout — and every action leaves a regulatory-grade evidence trail.
Why this pattern matters — not a customer quote.
Start governing AI banking operations
Free to start. See every AI decision from day one.