False positives, alert fatigue and rising transaction volumes mean compliance teams can’t rely on purely rules-based or purely human approaches. This guide from FINTRAIL and Flagright explains why a hybrid model — combining machine intelligence with human oversight — is the most effective and practical way to improve detection, reduce noise, and meet regulatory expectations.
Learn about:
The problem with “either/or” – why relying solely on AI or human investigators leaves firms exposed.
The hybrid solution – how combining automation with human insight reduces false positives, prioritises high-risk alerts, and strengthens oversight.
Governance and regulation – what regulators expect from AI-driven systems, and how to build explainability, accountability, and fairness into your model.
Practical steps to implementation – how to assess readiness, improve data quality, upskill teams, and scale hybrid monitoring effectively.
