S
SESIM
Synthetic Shadow Mode Dashboard
TRDark
Demo Environment
Live Transaction Risk

Known customer, routine transfer, no pressure detected

The transaction is legitimate. The decision is free.

Recommended Action
Allow + Observe
AUPA Risk12%

No authority-pressure pattern detected

YUDA Signal9%

Decision autonomy appears intact

Voice Stress Trend18%

No abnormal stress movement

Behavioral Deviation16%

Routine timing and beneficiary path

Score Methodology

How the Decision Integrity Score is derived. Weights below are illustrative and tuned with each institution during the pilot.

DIS = 100 − weighted( AUPA · YUDA · Stress Trend · Behavioral Deviation )
AUPA RiskHigh weight

External authority & pressure pattern

YUDA SignalHigh weight

Decision autonomy & answer consistency

Stress TrendMedium weight

Stress trajectory during confirmation

Behavioral DeviationMedium weight

Beneficiary / timing anomaly vs baseline

Decision Timeline
10:12:03
Transfer initiated

Known device and normal session.

10:12:15
Beneficiary matched

Existing beneficiary pattern.

10:12:28
Confirmation completed

Normal response time and no contradiction.

10:12:34
Allow recommended

No friction required.

Explainability Panel
Engine Reason Codes
within_normal_baseline
Customer context is consistent with past behavior.
No active pressure or urgency signals.
Confirmation behavior is stable.
Decision integrity remains high.
Policy Note

Allow the transaction and keep observing in shadow mode.

Intervention Ladder

Action escalates with decision risk — friction stays proportional and hard blocks are the last resort.

70–100
Allow + Observe

Shadow-mode log only, no customer friction.

Active tier for this scenario
50–69
Soft Pause + Reconfirm

SMS / in-app reconfirmation on a safer channel.

30–49
Soft Pause + Care Call

Customer-care callback on a safe channel.

10–29
Temporary Hold

Hold transfer and notify a trusted contact.

0–9
Hard Block + Escalate

Block and route to fraud operations.

Pilot Report Preview
Example output a risk team would receive after a shadow-mode evaluation.

Synthetic demo only. No real customer data is used in this dashboard preview.

Open PDF-Ready One-Pager
Finding

Coercion-like decision risk detected despite clean fraud status.

False-positive review

Hard block not recommended; start with soft pause and safer-channel reconfirmation.

Next step

Review 3-5 anonymized or synthetic journeys with fraud, compliance, and customer care teams.

Pilot Output
Shadow-mode report for risk, compliance, and customer care teams.
Request Shadow-Mode Pilot