End-to-End Annotation Workflow
End-to-End Annotation Workflow
Secure Data Ingestion & Privacy Controls
End-to-end encryption
Information remains encrypted from the point of entry to final storage. This approach prevents unauthorised access and keeps data secure at all times.
Zero-trust environment
Every request is verified before granting access, regardless of origin. This security model minimises risk by enforcing continuous authentication.
Data residency options
Organisations can select preferred storage locations to meet compliance requirements. This choice supports regional regulations and internal governance policies.
Sensitive Data Masking
Sensitive details are replaced with pseudonyms to reduce exposure risks. This technique protects identities while maintaining data usability for analysis.
Role-based access control
Access rights are assigned according to user roles to limit access to critical resources. This approach ensures users only interact with data relevant to their responsibilities.
Comprehensive audit trails
All system activities are recorded for full transparency and accountability. Audit logs assist with compliance reviews and help identify irregular actions.
End-to-end encryption
Information remains encrypted from the point of entry to final storage. This approach prevents unauthorized access and keeps data secure at all times.
Zero-trust environment
Every request is verified before granting access, regardless of origin. This security model minimizes risk by enforcing continuous authentication.
Data residency options
Organisations can select preferred storage locations to meet compliance requirements. This choice supports regional regulations and internal governance policies.
Sensitive Data Masking
Sensitive details are replaced with pseudonyms to reduce exposure risks. This technique protects identities while maintaining data usability for analysis.
Role-based access control
Access rights are assigned according to user roles to limit access to critical resources. This approach ensures users only interact with data relevant to their responsibilities.
Comprehensive audit trails
All system activities are recorded for full transparency and accountability. Audit logs assist with compliance reviews and help identify irregular actions.
Expert Labeling
We annotate attributes such as:
The stated or inferred reason for the funds transfer, which can be inconsistent with the user's profile.
The stated or inferred reason for the funds transfer, which can be inconsistent with the user's profile.
Inconsistencies or unusual patterns detected in the geographic location data surrounding a transaction or account activity.
Sensitive details are replaced with pseudonyms to reduce exposure risks. This technique protects identities while maintaining data usability for analysis.
Transactions routed to businesses or services that are often associated with high-risk activities, fraud, or money laundering schemes.
Deviations from the established, historical interaction and transaction patterns of a specific user account.
Signals suggesting that unauthorised access has been gained to a legitimate user's account by a malicious third party.
Signals suggesting that unauthorised access has been gained to a legitimate user's account by a malicious third party.
The categorisation of the observed activity into a known and recognised scheme of financial crime.
Rule Construction
ExpertsLabel AI creates expert-designed rules that augment training data and guide reasoning models:
- Velocity rules (transaction speed)
- Volume rules
- Geopolitical restrictions
- Currency conversion anomalies
- Device fingerprint risk
- Merchant risk escalation triggers
- Identity mismatch logic
Chain-of-Thought Generation
We generate detailed reasoning steps:
- Stepwise analysis
- Conditional checks
- Alternative path exploration
- Evidence consolidation
- Final decision rationale
Rule Construction
ExpertsLabel AI creates expert-designed rules that augment training data and guide reasoning models:
- Velocity rules (transaction speed)
- Volume rules
- Geopolitical restrictions
- Currency conversion anomalies
- Device fingerprint risk
- Merchant risk escalation triggers
- Identity mismatch logic
Chain-of-Thought Generation
We generate detailed reasoning steps:
- Stepwise analysis
- Conditional checks
- Alternative path exploration
- Evidence consolidation
- Final decision rationale
Types of Annotations We Produce
Structured Labels
Suspicious / not suspicious
Fraud risk scores
AML typology classification
KYC document anomalies
Graph-Based Labels
Entity relationship graphs
Money-flow diagrams
Transaction clustering
Reasoning Labels
Multi-step explanations
If/then logic
Counterfactual evaluation
Red flag escalation logic
Sequence Labels
Step-by-step transaction story
Layering detection
Multiple transfers with shared intent
Document Labels
KYC document mismatch
Signature mismatch
Address inconsistency
Company registration anomalies