Decision Integrity Layer for Financial Institutions
Shadow-mode AI infrastructure for detecting compromised financial decisions before irreversible loss occurs.
Fraud systems detect malicious actors. Sesim detects when a real customer may no longer be making a free decision.
TRY 180,000 transfer to new beneficiary
The actor can be legitimate while the decision is compromised.
In coercion-style transfer risk, the device, login, and customer identity can all look clean. Sesim adds a decision integrity layer that observes pressure, urgency, stress movement, and behavioral drift beside the existing fraud stack.
Clean fraud profile
Known device, valid login, real customer, authorized transfer.
Compromised decision
Active call pressure, unusual urgency, new beneficiary, rising hesitation.
Operational recommendation
Soft pause, safer-channel reconfirmation, or silent escalation to fraud care.
Synthetic operating console for a coercion-transfer review.
A bank risk team sees a clean fraud engine result, but Sesim flags compromised decision context and produces reason codes, timeline evidence, analyst notes, and audit logs.
TRY 180,000 transfer to new beneficiary
Fraud profile clean; known mobile device and normal login.
Customer remains on an active call during beneficiary setup.
Hesitation and contradiction increase during confirmation.
Soft pause before irreversible transfer execution.
Sesim does not replace the fraud engine. It covers the decision blind spot.
Optimized for malicious actor, credential, device, location, and session anomalies.
Optimized for pressure, autonomy, urgency, stress trend, and contextual drift.
Every recommendation is backed by a reviewable signal path.
Pressure Indicators
Authority cues, urgency language, active call context, repeated prompting.
Behavioral Deviation
New beneficiary, compressed confirmation time, unusual transfer path.
Emotional Stress
Rising voice stress trend and hesitation during sensitive prompts.
Recommendation
Soft pause, safer-channel reconfirmation, or silent care escalation.
Protect vulnerable customers without exposing them to the person applying pressure.
The first wedge is not generic fraud automation. It is a care-aware review layer for moments when an elderly or vulnerable customer may be guided through a legitimate-looking transfer under fear, urgency, or social pressure.
Active call pressure
The customer stays on a call while adding a new beneficiary and confirming a high-value transfer.
Fear of contradicting the caller
The customer appears compliant but hesitates when asked to explain the transfer purpose.
Safe reconfirmation
The bank introduces a pause and asks for confirmation through a safer channel without warning the coercer.
Deploy beside existing fraud workflows before touching production decisions.
Sesim starts in shadow mode: observe high-risk journeys, generate explainable decision-integrity signals, compare against existing outcomes, and only then define production-safe intervention policy.
Receives device, login, session, and transaction risk outcomes.
Observes selected journeys without blocking customer flow.
Generates DIS, AUPA, YUDA, pressure indicators, and reason codes.
Stores recommendation, reason code, analyst note, and review status.
Routes sensitive cases to fraud, compliance, or customer care teams.
Discovery with fraud, compliance, innovation, and customer protection teams.
Shadow-mode simulation on selected synthetic or anonymized transaction journeys.
Decision integrity lift, false-positive review, and intervention policy proposal.
Review a synthetic coercion-transfer scenario with your risk team.
We are looking for 3 shadow-mode pilot conversations with banking and fintech teams.
Request Shadow-Mode Pilot
Tell us who should evaluate Sesim. We will reply with the shadow-mode pilot brief, synthetic scenario, and dashboard walkthrough.
Prefer email? Contact admin@sesim.net