Alert Interception
Alerts generated by the institution’s screening engine are intercepted before reaching investigators, enabling earlier, automated assessment.
Contextual Investigation
Each alert is analysed in context, considering name similarity, entity relationships, jurisdictional exposure, and supporting data to determine whether genuine sanctions, PEP, or adverse media risk exists.
Policy-Aligned Decision Output
Every alert results in a clear outcome – clearance, escalation, or further investigation – supported by structured reasoning that demonstrates alignment with institutional screening policies.
Up to
Alerts Are Resolved Without Manual Review
High volumes of screening alerts are investigated and resolved without manual intervention, reducing reliance on investigator review.
Up to
Straight-Through Processing
Alerts are investigated and resolved by Iris 7, enabling decisions to be made without manual intervention.
Automated Real-Time Decisioning
Screening alerts are investigated and resolved using structured, policy-aligned reasoning. Routine false positives are cleared automatically, while higher-risk matches are escalated for investigator review.
Policy Editor and Simulator
Screening rules and decision logic can be configured to reflect institutional risk appetite. Policy changes are tested and validated in a controlled simulation environment before deployment.
Transparency and Explainability
Every decision includes structured reasoning, detailing the signals assessed and policy criteria applied, enabling full review and validation by investigators and regulators.
Continuous Quality Assurance
Selected alerts are sampled and reviewed by investigators to compare outcomes with agent decisions. Discrepancies are analysed to maintain alignment with institutional standards over time.
AI-Driven Continuous Improvement
Analyst feedback and decision outcomes are analysed to identify improvement opportunities, enabling ongoing optimisation of policies and investigative workflows.
Human-in-the-loop governance
Humans govern the policy framework that drives every decision. In production, human-over-the-loop oversight ensures the system operates within defined authority limits at all times.
