Shadow-Mode Pilot One-Pager
Decision Integrity Layer for Financial Institutions
The transaction is legitimate. The decision is not.
Sesim helps fraud, risk, compliance, and customer protection teams evaluate compromised financial decisions in shadow mode before any production intervention.
Synthetic Safety Note
Synthetic pilot brief. No real customer data is used in this one-pager or public dashboard.
DIS 42/100
AUPA 78%
YUDA 71%
Soft Pause + Reconfirmation
Why This Matters
- Fraud systems detect malicious actors, suspicious devices, abnormal sessions, and risky transaction patterns.
- Coercion-style transfers can look clean because the customer is real, authenticated, and apparently authorizing the transaction.
- The missing signal is decision integrity: pressure, autonomy, urgency, emotional stress, and contextual drift.
Shadow-Mode Pilot
- Runs beside the existing fraud/risk workflow without blocking customer flows.
- Reviews selected synthetic or anonymized transaction journeys.
- Produces DIS, AUPA Risk, YUDA Signal, reason codes, analyst notes, and an audit trail.
Example Output
- Fraud engine: clean; customer: legitimate; device: known.
- Decision Integrity Score: 42/100; AUPA Risk: 78%; YUDA Signal: 71%.
- Recommended action: Soft Pause + Reconfirmation before irreversible loss.
Success Criteria
- Identify coercion-like cases current fraud logic may miss.
- Make reason codes understandable to fraud, compliance, and customer protection teams.
- Define whether 1-2 scenarios are worth a deeper production-safe evaluation.
7-Week Pilot Flow
Weeks 1-2
Discovery
Map current escalation flow and select 3-5 high-risk scenarios.
Weeks 3-6
Shadow Mode
Run Sesim against selected journeys and compare with existing outcomes.
Week 7
Pilot Report
Deliver findings, false-positive review, and intervention policy proposal.
Data Needed
transaction amount/typebeneficiary indicatorchannel/session timingconfirmation metadatafraud engine outcomeoptional call/voice context