How can transaction monitoring teams improve outcomes and detect risk more effectively?
Detection is combined with intelligent adjudication, investigating and deciding cases in full context, including customer behaviour, counterparty networks, and adverse media to deliver consistent, policy-aligned outcomes.
Rules-based systems generate high volumes of cases without context, while investigations remain manual, slow, and inconsistent.
The result is growing backlogs, variable decision quality, and increased risk of genuine financial crime being missed – just as regulatory expectations shift towards demonstrable effectiveness, explainability, and proportionality.
Iris 7 enables
Up to an 80% reduction in manual review workload
Stronger identification of genuine financial crime risk
The ability to scale monitoring operations in line with business growth
without increasing headcount, cost, or compliance risk
Capabilities can be deployed where the need is greatest – often starting with adjudication – and extended across detection, data, and governance to strengthen outcomes across the full monitoring workflow.
Iris 7 enables
At the centre is intelligent adjudication. AI Agents investigate and decide cases in full context, combining customer behaviour, transaction patterns, counterparty networks, and external intelligence to deliver consistent, policy-aligned outcomes.
Investigation & Decisioning
This is where Iris 7 AI Agents deliver the greatest impact – applying investigator-level reasoning across every case, at scale, with a level of consistency and depth that cannot be sustained through manual review alone.
Resolve Up To 80% of Monitoring Cases Without Manual Review
Autonomous investigation and decisioning for cases generated by your existing AML systems. Full context is gathered – customer data, transaction history, counterparty relationships, behavioural patterns, network connections, and external intelligence – and evaluated using structured, policy-aligned reasoning to deliver a final decision.
Low-risk cases are closed automatically, while genuine risk is escalated with full context attached. Every outcome includes a clear decision narrative and a complete audit trail.
Uncover Risk Hidden in External Intelligence
Continuously identifies and interprets adverse media and public domain intelligence across customers, counterparties, and connected entities. Resolves entity matches, filters noise, and surfaces credible risk signals that may not be visible in transactional data alone. Findings are integrated directly into investigations, ensuring decisions reflect a complete, real-world view of risk.
Accelerate SAR Preparation for Escalated Cases
SAR templates are automatically pre-populated using evidence gathered during investigation and the decision narrative produced at adjudication, pulling through relevant entities, transaction details, risk findings, and structured reasoning to reduce manual drafting effort while improving consistency, completeness, and regulatory quality.
Detection
Effective transaction monitoring detects behaviour, not just transactions. Iris 7 moves beyond fixed thresholds to establish behavioural baselines, assess holistic customer risk, and surface the cases most likely to represent genuine suspicious activity.
Detect Suspicious Behaviour Across All Transaction Types
Customer behaviour is continuously monitored across transaction types, establishing behavioural baselines and identifying deviations that reflect genuine risk. Risk signal analysis is applied across transaction patterns and counterparty relationships to generate higher-quality cases.
Stay Ahead of Emerging Typologies and Regulatory Change
Regulatory, AML, and geopolitical developments are continuously monitored, interpreting their relevance against your institution’s policies and control framework to deliver structured, auditable insights that help teams identify emerging risks earlier and respond with greater speed and confidence.
Risk Data Management
Effective transaction monitoring starts with reliable data. Iris 7 consolidates and standardises fragmented data, improving detection accuracy and enabling consistent investigation and decisioning.
Accurate, Consolidated Data for Reliable Monitoring
Customer, account, and transactional data is consolidated, cleaned, and standardized from multiple sources, resolving entity duplication and inconsistencies to create a unified, high-quality data foundation that improves detection accuracy and supports consistent investigation and decisioning.
For institutions ready to go further, the Transaction Monitoring Suite delivers an end-to-end workflow – from data and detection through to investigation, decisioning, and reporting – within a single, governed architecture.
