IRIS 7
architecture
The Governance and Decision
Architecture Behind Iris 7
IRIS 7
architecture
The Governance and Decision
Architecture Behind Iris 7
How Is Decisioning Structured Within Iris 7?
The architecture behind Iris 7 combines structured reasoning, dynamic context assembly, and embedded governance controls to produce policy-bound financial crime decisions at scale.
How Is Decisioning Structured Within Iris 7?
The architecture behind Iris 7 combines structured reasoning, dynamic context assembly, and embedded governance controls to produce policy-bound financial crime decisions at scale.
How Is Decisioning Structured Within Iris 7?
The architecture behind Iris 7 combines structured reasoning, dynamic context assembly, and embedded governance controls to produce policy-bound financial crime decisions at scale.
How Does Iris 7 Prioritise Governance?
Iris 7 embeds policy boundaries, authority thresholds, oversight controls, and full traceability directly into the decision process, ensuring every outcome remains inspectable, accountable, and regulator-ready.
How Does Iris 7 Prioritise Governance?
Iris 7 embeds policy boundaries, authority thresholds, oversight controls, and full traceability directly into the decision process, ensuring every outcome remains inspectable, accountable, and regulator-ready.
How Does Iris 7 Prioritise Governance?
Iris 7 embeds policy boundaries, authority thresholds, oversight controls, and full traceability directly into the decision process, ensuring every outcome remains inspectable, accountable, and regulator-ready.
How Does Iris 7 Integrate and Scale Within Existing Systems?
Iris 7 operates as a governed decision layer within existing screening, monitoring, and case management environments, enabling institutions to expand decision capacity without replacing core infrastructure.
How Does Iris 7 Integrate and Scale Within Existing Systems?
Iris 7 operates as a governed decision layer within existing screening, monitoring, and case management environments, enabling institutions to expand decision capacity without replacing core infrastructure.
How Does Iris 7 Integrate and Scale Within Existing Systems?
Iris 7 operates as a governed decision layer within existing screening, monitoring, and case management environments, enabling institutions to expand decision capacity without replacing core infrastructure.
How Does Iris 7 Keep Decisions Governed?
Iris 7 is built to operate inside the governance standards applied to critical compliance processes. AI Agents execute decisions within clearly defined policy boundaries, authority thresholds, and escalation rules set by the institution.
Governance is not layered on after execution. It is embedded into how every decision is produced, reviewed, and retained.
How Does Iris 7 Keep Decisions Governed?
Iris 7 is built to operate inside the governance standards applied to critical compliance processes. AI Agents execute decisions within clearly defined policy boundaries, authority thresholds, and escalation rules set by the institution.
Governance is not layered on after execution. It is embedded into how every decision is produced, reviewed, and retained.
How Does Iris 7 Keep Decisions Governed?
Iris 7 is built to operate inside the governance standards applied to critical compliance processes. AI Agents execute decisions within clearly defined policy boundaries, authority thresholds, and escalation rules set by the institution.
Governance is not layered on after execution. It is embedded into how every decision is produced, reviewed, and retained.
Iris 7 enforces governance through:
Iris 7 enforces governance through:
Iris 7 enforces governance through:
Defined Policy Boundaries
AI Agents apply approved policies, thresholds, and escalation criteria directly in context, ensuring decisions remain within institutional limits.
Defined Policy Boundaries
AI Agents apply approved policies, thresholds, and escalation criteria directly in context, ensuring decisions remain within institutional limits.
Defined Policy Boundaries
AI Agents apply approved policies, thresholds, and escalation criteria directly in context, ensuring decisions remain within institutional limits.
Structured Oversight Controls
Sampling, QA review, overrides, and exception workflows are built into decisioning, maintaining visibility and intervention capability at all times.
Structured Oversight Controls
Sampling, QA review, overrides, and exception workflows are built into decisioning, maintaining visibility and intervention capability at all times.
Structured Oversight Controls
Sampling, QA review, overrides, and exception workflows are built into decisioning, maintaining visibility and intervention capability at all times.
Complete Traceability
Every decision generates a retained record including assessed data, applied policy logic, reasoning path, and final outcome.
Complete Traceability
Every decision generates a retained record including assessed data, applied policy logic, reasoning path, and final outcome.
Complete Traceability
Every decision generates a retained record including assessed data, applied policy logic, reasoning path, and final outcome.
MRM-Ready Documentation
Versioning, performance monitoring, and reproducibility support model validation, audit testing, and regulatory examination.pply approved policies, thresholds, and escalation criteria directly in context, ensuring decisions remain within institutional limits.
MRM-Ready Documentation
Versioning, performance monitoring, and reproducibility support model validation, audit testing, and regulatory examination.pply approved policies, thresholds, and escalation criteria directly in context, ensuring decisions remain within institutional limits.
MRM-Ready Documentation
Versioning, performance monitoring, and reproducibility support model validation, audit testing, and regulatory examination.pply approved policies, thresholds, and escalation criteria directly in context, ensuring decisions remain within institutional limits.
How Does Iris 7 Operate?
Iris 7 AI Agents run in parallel across structured investigative workflows, combining context assembly, orchestration, and governance within a single decisioning platform.
How Does Iris 7 Operate?
Iris 7 AI Agents run in parallel across structured investigative workflows, combining context assembly, orchestration, and governance within a single decisioning platform.
How Does Iris 7 Operate?
Iris 7 AI Agents run in parallel across structured investigative workflows, combining context assembly, orchestration, and governance within a single decisioning platform.
The Iris 7 Platform Model
The Iris 7 Platform Model
The Iris 7 Platform Model
Agent Runtime & Orchestration
AI Agents execute multi-step investigative workflows across high volumes, with managed sequencing, tool and API calls, retry logic, and workload balancing to ensure reliable performance.
Agent Runtime & Orchestration
AI Agents execute multi-step investigative workflows across high volumes, with managed sequencing, tool and API calls, retry logic, and workload balancing to ensure reliable performance.
Agent Runtime & Orchestration
AI Agents execute multi-step investigative workflows across high volumes, with managed sequencing, tool and API calls, retry logic, and workload balancing to ensure reliable performance.
Unified Context Layer
Consolidated decision context is created by bringing together customer data, transaction history, network relationships, sanctions and AML sources, and relevant external intelligence.
Unified Context Layer
Consolidated decision context is created by bringing together customer data, transaction history, network relationships, sanctions and AML sources, and relevant external intelligence.
Unified Context Layer
Consolidated decision context is created by bringing together customer data, transaction history, network relationships, sanctions and AML sources, and relevant external intelligence.
Workflow & Operational Integration
Decisions and supporting artifacts are delivered directly into case management systems, screening platforms, monitoring environments, and downstream operational processes.
Workflow & Operational Integration
Decisions and supporting artifacts are delivered directly into case management systems, screening platforms, monitoring environments, and downstream operational processes.
Workflow & Operational Integration
Decisions and supporting artifacts are delivered directly into case management systems, screening platforms, monitoring environments, and downstream operational processes.
Governance & Assurance Framework
Policy boundaries, QA sampling, drift monitoring, version control, and complete audit traceability are applied across all AI Agent activity to maintain institutional oversight.
Governance & Assurance Framework
Policy boundaries, QA sampling, drift monitoring, version control, and complete audit traceability are applied across all AI Agent activity to maintain institutional oversight.
Governance & Assurance Framework
Policy boundaries, QA sampling, drift monitoring, version control, and complete audit traceability are applied across all AI Agent activity to maintain institutional oversight.
The Decision Architecture of Iris 7
Iris 7 ensures that outcomes are consistent, explainable, and aligned to institutional policy. The platform’s structure makes clear how decisions are formed, and how they remain controlled.
The Decision Architecture of Iris 7
Iris 7 ensures that outcomes are consistent, explainable, and aligned to institutional policy. The platform’s structure makes clear how decisions are formed, and how they remain controlled.
The Decision Architecture of Iris 7
Iris 7 ensures that outcomes are consistent, explainable, and aligned to institutional policy. The platform’s structure makes clear how decisions are formed, and how they remain controlled.
Context Layer
Each decision begins with a unified, case-specific information foundation. Relevant internal systems and external intelligence are consolidated into a coherent decision context, reducing fragmentation and variability.
Context Layer
Each decision begins with a unified, case-specific information foundation. Relevant internal systems and external intelligence are consolidated into a coherent decision context, reducing fragmentation and variability.
Context Layer
Each decision begins with a unified, case-specific information foundation. Relevant internal systems and external intelligence are consolidated into a coherent decision context, reducing fragmentation and variability.
Reasoning Engine
Institutional policies, investigative logic, and risk standards are applied in a structured and repeatable manner. Decisions reflect policy intent in context, without the inconsistency inherent in manual interpretation.
Reasoning Engine
Institutional policies, investigative logic, and risk standards are applied in a structured and repeatable manner. Decisions reflect policy intent in context, without the inconsistency inherent in manual interpretation.
Reasoning Engine
Institutional policies, investigative logic, and risk standards are applied in a structured and repeatable manner. Decisions reflect policy intent in context, without the inconsistency inherent in manual interpretation.
Decision Framework
Outcomes are produced within institution-defined approval limits, with each including supporting evidence and a complete reasoning path to ensure transparency for compliance, audit, and model risk.
Decision Framework
Outcomes are produced within institution-defined approval limits, with each including supporting evidence and a complete reasoning path to ensure transparency for compliance, audit, and model risk.
Decision Framework
Outcomes are produced within institution-defined approval limits, with each including supporting evidence and a complete reasoning path to ensure transparency for compliance, audit, and model risk.
Learning-Driven Reasoning
Iris 7 does not rely on rigid rules or predefined schemas that require rebuilding when policy or risk changes. Investigative reasoning adapts as typologies evolve and regulatory interpretations shift, without requiring rule rewrites, schema rebuilds, or ontology reconfiguration.
Learning-Driven Reasoning
Iris 7 does not rely on rigid rules or predefined schemas that require rebuilding when policy or risk changes. Investigative reasoning adapts as typologies evolve and regulatory interpretations shift, without requiring rule rewrites, schema rebuilds, or ontology reconfiguration.
Learning-Driven Reasoning
Iris 7 does not rely on rigid rules or predefined schemas that require rebuilding when policy or risk changes. Investigative reasoning adapts as typologies evolve and regulatory interpretations shift, without requiring rule rewrites, schema rebuilds, or ontology reconfiguration.
Continuous Learning Under Governance
Iris 7 evolves alongside policies, typologies, and investigative standards. Improvements are introduced through governed change controls, ensuring the platform adapts to evolving risk while remaining stable, inspectable, and regulator-ready.
Continuous Learning Under Governance
Iris 7 evolves alongside policies, typologies, and investigative standards. Improvements are introduced through governed change controls, ensuring the platform adapts to evolving risk while remaining stable, inspectable, and regulator-ready.
Continuous Learning Under Governance
Iris 7 evolves alongside policies, typologies, and investigative standards. Improvements are introduced through governed change controls, ensuring the platform adapts to evolving risk while remaining stable, inspectable, and regulator-ready.
Decision-Specific Context
Decisions are formed using dynamic, decision-focussed context rather than monolithic enterprise models. Only the signals, relationships, and risk indicators relevant to the decision are assembled, mirroring experienced investigators.
Decision-Specific Context
Decisions are formed using dynamic, decision-focussed context rather than monolithic enterprise models. Only the signals, relationships, and risk indicators relevant to the decision are assembled, mirroring experienced investigators.
Decision-Specific Context
Decisions are formed using dynamic, decision-focussed context rather than monolithic enterprise models. Only the signals, relationships, and risk indicators relevant to the decision are assembled, mirroring experienced investigators.
Extending Decisioning Without Rebuilding Infrastructure
Iris 7 expands decision coverage without introducing new governance models or replacing core financial crime systems.
As institutions extend into screening, transaction monitoring, fraud, trade surveillance, or complex due diligence, the same policy framework, reasoning logic, and oversight controls are reused. New workflows reuse validated reasoning and assurance patterns, accelerating expansion without introducing parallel governance structures.
Decisioning expands. Infrastructure and governance remain intact.
Extending Decisioning Without Rebuilding Infrastructure
Iris 7 expands decision coverage without introducing new governance models or replacing core financial crime systems.
As institutions extend into screening, transaction monitoring, fraud, trade surveillance, or complex due diligence, the same policy framework, reasoning logic, and oversight controls are reused. New workflows reuse validated reasoning and assurance patterns, accelerating expansion without introducing parallel governance structures.
Decisioning expands. Infrastructure and governance remain intact.
Extending Decisioning Without Rebuilding Infrastructure
Iris 7 expands decision coverage without introducing new governance models or replacing core financial crime systems.
As institutions extend into screening, transaction monitoring, fraud, trade surveillance, or complex due diligence, the same policy framework, reasoning logic, and oversight controls are reused. New workflows reuse validated reasoning and assurance patterns, accelerating expansion without introducing parallel governance structures.
Decisioning expands. Infrastructure and governance remain intact.
Integration, Deployment & Data Control
Iris 7 is designed to integrate into existing financial crime environments without requiring system replacement or structural redesign.
Integration, Deployment & Data Control
Iris 7 is designed to integrate into existing financial crime environments without requiring system replacement or structural redesign.
Integration, Deployment & Data Control
Iris 7 is designed to integrate into existing financial crime environments without requiring system replacement or structural redesign.
Seamless Integration
Iris 7 connects directly to screening engines, transaction monitoring systems, case management platforms, and both internal and external data sources, operating as a governed decision layer within existing workflows, rather than replacing core detection systems.
Seamless Integration
Iris 7 connects directly to screening engines, transaction monitoring systems, case management platforms, and both internal and external data sources, operating as a governed decision layer within existing workflows, rather than replacing core detection systems.
Seamless Integration
Iris 7 connects directly to screening engines, transaction monitoring systems, case management platforms, and both internal and external data sources, operating as a governed decision layer within existing workflows, rather than replacing core detection systems.
Data Control & Security
Data remains under institutional control. Deployment models are designed to meet enterprise security standards, with configurable access controls, environment isolation, audit logging, and encryption aligned to regulated financial environments.
Data Control & Security
Data remains under institutional control. Deployment models are designed to meet enterprise security standards, with configurable access controls, environment isolation, audit logging, and encryption aligned to regulated financial environments.
Data Control & Security
Data remains under institutional control. Deployment models are designed to meet enterprise security standards, with configurable access controls, environment isolation, audit logging, and encryption aligned to regulated financial environments.
Incremental Adoption
Institutions can begin with a single workflow and expand over time. Iris 7 AI Agents, Innovate, and End-to-End offerings allow adoption at a controlled pace without disrupting operational stability.
Incremental Adoption
Institutions can begin with a single workflow and expand over time. Iris 7 AI Agents, Innovate, and End-to-End offerings allow adoption at a controlled pace without disrupting operational stability.
Incremental Adoption
Institutions can begin with a single workflow and expand over time. Iris 7 AI Agents, Innovate, and End-to-End offerings allow adoption at a controlled pace without disrupting operational stability.
Flexible Deployment Models
Iris 7 can be deployed on-premises, in private or public cloud environments, in hybrid architectures, or as a managed service. Deployment aligns with institutional infrastructure, security policies, and data sovereignty requirements.
Flexible Deployment Models
Iris 7 can be deployed on-premises, in private or public cloud environments, in hybrid architectures, or as a managed service. Deployment aligns with institutional infrastructure, security policies, and data sovereignty requirements.
Flexible Deployment Models
Iris 7 can be deployed on-premises, in private or public cloud environments, in hybrid architectures, or as a managed service. Deployment aligns with institutional infrastructure, security policies, and data sovereignty requirements.
Iris 7 vs Traditional Financial Crime Systems
Traditional financial crime systems support investigation workflows.
Iris 7 makes governed financial crime decisions.
Iris 7 vs Traditional Financial Crime Systems
Traditional financial crime systems support investigation workflows.
Iris 7 makes governed financial crime decisions.
Iris 7 vs Traditional Financial Crime Systems
Traditional financial crime systems support investigation workflows.
Iris 7 makes governed financial crime decisions.
Traditional
FCC Systems
Starting Point
Requires rule-writing, model tuning, and analyst training before reliable outputs emerge
Decision Output
Produces alerts requiring analyst investigation and interpretation
Policy Application
Policy interpreted
manually case by case
Policy Application
Policy interpreted
Consistency
Outcomes vary
by analyst skill, workload, and region
Context Handling
Data gathered across fragmented systems during investigation
Explainability
Manual notes
or opaque model outputs
Explainability
Manual notes
Governance
Oversight applied after decisions through manual quality assurance reviews
Scalability
Capacity is increased
through hiring new headcount
Scalability
Capacity is increased
Adaptability
Policy updates require rule changes or model rework
Operational Model
Human-led investigation supported by tooling
Silent Eight
Iris 7
Starting Point
Deploys with embedded financial crime reasoning shaped by live production use
Decision Output
Produces policy-bound, evidence-backed
decisions within defined authority thresholds
Policy Application
Policy logic applied consistently
within agent reasoning
Consistency
Outcomes follow structured reasoning and defined policy standards
Context Handling
Unified, decision-specific context assembled before reasoning
Explainability
Complete reasoning path, applied policy logic, and retained decision record
Governance
Policy boundaries, thresholds, escalation rules, and traceability embedded into decisioning
Scalability
Decision capacity scales through parallel agent execution within governance controls
Adaptability
Reasoning adapts through governed updates aligned to policy and investigative practice
Operational Model
AI Agent-led decisioning with human oversight and accountability
Policy-Bound AI Decisioning for Financial Crime Compliance
Discover how Iris 7 AI Agents, Custom AI, and Decisioning Platform solutions support scalable, governed financial crime decisioning
Policy-Bound AI Decisioning for Financial Crime Compliance
Discover how Iris 7 AI Agents, Custom AI, and Decisioning Platform solutions support scalable, governed financial crime decisioning