Elderly customer transfer under suspected coercion
The transaction is legitimate. The decision is not.
Active-call authority pressure on an elderly customer
Hesitation present; decision autonomy beginning to degrade
Rising confirmation latency and hesitation
New high-value beneficiary anomaly vs baseline
How the Decision Integrity Score is derived. Weights below are illustrative and tuned with each institution during the pilot.
External authority & pressure pattern
Decision autonomy & answer consistency
Stress trajectory during confirmation
Beneficiary / timing anomaly vs baseline
Clean fraud profile; known device and normal login.
Customer remains on active call during transfer flow.
Hesitation and contradiction in confirmation answers.
Soft Pause + Customer-Care Callback before irreversible loss.
Use a non-blocking reconfirmation first. If pressure persists, silently escalate to fraud care operations.
Action escalates with decision risk — friction stays proportional and hard blocks are the last resort.
Shadow-mode log only, no customer friction.
SMS / in-app reconfirmation on a safer channel.
Customer-care callback on a safe channel.
Hold transfer and notify a trusted contact.
Block and route to fraud operations.
Synthetic demo only. No real customer data is used in this dashboard preview.
Coercion-like decision risk detected despite clean fraud status.
Hard block not recommended; start with soft pause and safer-channel reconfirmation.
Review 3-5 anonymized or synthetic journeys with fraud, compliance, and customer care teams.