IRIS 7

AI Agents by Capability
Transaction Monitoring
AI-Powered Investigation & Decisioning with Iris 7
IRIS 7

AI Agents by Capability
Transaction Monitoring
AI-Powered Investigation & Decisioning with Iris 7
IRIS 7

AI Agents by Capability
Transaction Monitoring
AI-Powered Investigation & Decisioning with Iris 7
Reduce Transaction Monitoring Workload
by Up to 80% – Without Missing Risk
AI-powered adjudication at the core, with capabilities spanning detection, investigation, decisioning, and quality control to deliver consistent, audit-ready outcomes at scale.
Reduce Transaction Monitoring Workload
by Up to 80% – Without Missing Risk
AI-powered adjudication at the core, with capabilities spanning detection, investigation, decisioning, and quality control to deliver consistent, audit-ready outcomes at scale.
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.
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.
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.
What are the benefits of AI-driven transaction monitoring?
AI Agents reduce manual investigations by up to 80%, improve identification of genuine financial crime risk, and deliver consistent, explainable, audit-ready decisions – all while scaling with business growth and evolving typologies and regulatory expectations.
What are the benefits of AI-driven transaction monitoring?
AI Agents reduce manual investigations by up to 80%, improve identification of genuine financial crime risk, and deliver consistent, explainable, audit-ready decisions – all while scaling with business growth and evolving typologies and regulatory expectations.
What are the benefits of AI-driven transaction monitoring?
AI Agents reduce manual investigations by up to 80%, improve identification of genuine financial crime risk, and deliver consistent, explainable, audit-ready decisions – all while scaling with business growth and evolving typologies and regulatory expectations.
How can transaction monitoring be scaled without increasing headcount?
Investigation and decisioning is automated by AI across high case volumes, continuously incorporating new risk signals and regulatory developments — enabling teams to scale efficiently while maintaining control, consistency, and regulatory defensibility.
How can transaction monitoring be scaled without increasing headcount?
Investigation and decisioning is automated by AI across high case volumes, continuously incorporating new risk signals and regulatory developments — enabling teams to scale efficiently while maintaining control, consistency, and regulatory defensibility.
How can transaction monitoring be scaled without increasing headcount?
Investigation and decisioning is automated by AI across high case volumes, continuously incorporating new risk signals and regulatory developments — enabling teams to scale efficiently while maintaining control, consistency, and regulatory defensibility.
The Transaction Monitoring Challenge
Transaction monitoring is fundamental to every AML programme, yet the gap between what systems detect and what teams can realistically investigate continues to widen.
The Transaction Monitoring Challenge
Transaction monitoring is fundamental to every AML programme, yet the gap between what systems detect and what teams can realistically investigate continues to widen.
The Transaction Monitoring Challenge
Transaction monitoring is fundamental to every AML programme, yet the gap between what systems detect and what teams can realistically investigate continues to widen.
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: A Coordinated AI Platform
for Smarter Transaction Monitoring
Iris 7: A Coordinated AI Platform
for Smarter Transaction Monitoring
Iris 7: A Coordinated AI Platform
for Smarter Transaction Monitoring
Iris 7 enables
Iris 7 enables
Iris 7 enables
Up to an 80% reduction in manual review workload
Up to an 80% reduction in manual review workload
Stronger identification of genuine financial crime risk
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
Iris 7 enables
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.
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.
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.
Surrounding capabilities across data quality, detection, and governance reinforce every stage of the monitoring process, improving case quality, investigation depth, and decision consistency.
Surrounding capabilities across data quality, detection, and governance reinforce every stage of the monitoring process, improving case quality, investigation depth, and decision consistency.
Surrounding capabilities across data quality, detection, and governance reinforce every stage of the monitoring process, improving case quality, investigation depth, and decision consistency.
AI Agents for Transaction Monitoring on Iris 7
AI Agents for Transaction Monitoring on Iris 7
AI Agents for Transaction Monitoring on Iris 7
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Discover More About Transaction Monitoring
Turn transaction monitoring into decisive action with AI Agents that investigate cases in full context and deliver consistent, policy-aligned outcomes. Unifying fragmented data and automating low-risk decisions while escalating real threats with clear, auditable narratives, reducing manual investigations by up to 80%. Explore AI Agents for Transaction Monitoring.

Discover More About Transaction Monitoring
Turn transaction monitoring into decisive action with AI Agents that investigate cases in full context and deliver consistent, policy-aligned outcomes. Unifying fragmented data and automating low-risk decisions while escalating real threats with clear, auditable narratives, reducing manual investigations by up to 80%. Explore AI Agents for Transaction Monitoring.

Discover More About Transaction Monitoring
Turn transaction monitoring into decisive action with AI Agents that investigate cases in full context and deliver consistent, policy-aligned outcomes. Unifying fragmented data and automating low-risk decisions while escalating real threats with clear, auditable narratives, reducing manual investigations by up to 80%. Explore AI Agents for Transaction Monitoring.

The Complete AI Platform for Transaction Monitoring
Transaction Monitoring Suite
Iris 7’s Customer Screening Suite brings together specialised AI Agents across detection, investigation, decisioning, and governance within a single, coordinated platform.
The Complete AI Platform for Transaction Monitoring
Transaction Monitoring Suite
Iris 7’s Customer Screening Suite brings together specialised AI Agents across detection, investigation, decisioning, and governance within a single, coordinated platform.
The Complete AI Platform for Transaction Monitoring
Transaction Monitoring Suite
Iris 7’s Customer Screening Suite brings together specialised AI Agents across detection, investigation, decisioning, and governance within a single, coordinated platform.
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.
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.
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.
Continuous learning improves detection, investigation, and decision quality over time, ensuring the programme evolves alongside financial crime risk and regulatory expectations.
Continuous learning improves detection, investigation, and decision quality over time, ensuring the programme evolves alongside financial crime risk and regulatory expectations.
Continuous learning improves detection, investigation, and decision quality over time, ensuring the programme evolves alongside financial crime risk and regulatory expectations.
Built for Modern AML Teams
Built for Modern AML Teams
Built for Modern AML Teams
Autonomous investigation across customer, transaction, and external data
Autonomous investigation across customer, transaction, and external data
Scales transaction monitoring with business growth without increasing cost or risk
Scales transaction monitoring with business growth without increasing cost or risk
Policy-aligned decisioning configurable to your risk appetite
Policy-aligned decisioning configurable to your risk appetite
Continuous learning driven by analyst feedback and outcomes
Continuous learning driven by analyst feedback and outcomes
Clear, natural language decision narratives that are explainable and audit-ready
Clear, natural language decision narratives that are explainable and audit-ready
SAR pre-population to reduce analyst workload and improve consistency
SAR pre-population to reduce analyst workload and improve consistency
Fully transparent reasoning for regulatory and model risk scrutiny
Fully transparent reasoning for regulatory and model risk scrutiny
Integrates with existing monitoring systems — no rip-and-replace required
Integrates with existing monitoring systems — no rip-and-replace required
Integrates with existing monitoring systems — no rip-and-replace required
Working with Silent Eight
We partner with your team to identify where AI delivers the greatest impact across your monitoring workflow. Whether enhancing adjudication, detection, or data quality, our approach is focused on measurable outcomes – combining deep financial crime expertise with practical implementation support.
Working with Silent Eight
We partner with your team to identify where AI delivers the greatest impact across your monitoring workflow. Whether enhancing adjudication, detection, or data quality, our approach is focused on measurable outcomes – combining deep financial crime expertise with practical implementation support.
Working with Silent Eight
We partner with your team to identify where AI delivers the greatest impact across your monitoring workflow. Whether enhancing adjudication, detection, or data quality, our approach is focused on measurable outcomes – combining deep financial crime expertise with practical implementation support.

Understanding your priorities is central to how we work
Collaboratively assess challenges and AI impact

Understanding your priorities is central to how we work
Collaboratively assess challenges and AI impact
Discover how Iris 7’s Customer Screening Suite delivered:

Net Present Value

Three-Year ROI
Discover how Iris 7’s Customer Screening Suite delivered:

Net Present Value

Three-Year ROI
Discover how Iris 7’s Customer Screening Suite delivered:

Net Present Value

Three-Year ROI


