We build training examples around transaction patterns and investigation workflows. Financial crime specialists label the evidence, distinguish suspicious activity from legitimate behaviour and evaluate how models explain their conclusions.
Expert training data
Approved transaction records, alert histories and investigation case material, using permitted, de-identified or synthetic data appropriate to the project.
- Transaction and alert labels with documented evidence and expert rationale.
- Reference investigation summaries and corrected model explanations.
- Examples of suspicious patterns, legitimate activity and uncertain cases.
Model evaluation
- Alert classification against expert-reviewed reference labels.
- False positives, missed patterns and unsupported allegations.
- Evidence quality, uncertainty and appropriate escalation to investigators.
A representative task
Given an alert and its supporting transactions, summarise the pattern, cite the relevant evidence and explain what still needs investigation. Experts score the model’s reasoning and identify unsupported conclusions.
What you receive
Reviewed alert datasets, reference rationales, scoring rubrics and model error analysis for fraud-detection and investigation tools.
Canadian expertise
Canadian fraud, financial crime and transaction-monitoring specialists.