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IRIS 7

Overview

IRIS 7

Overview

A Governed

Decisioning

Operating Model for Financial Crime Compliance

How Does Iris 7 Scale Decisions Without Scaling Headcount?

Iris 7 shifts teams from manual investigation workflows to governed Agentic AI-driven decisioning. AI Agents apply institutional policy, structured reasoning, and oversight controls at scale, expanding decision capacity without expanding teams.

How Does Iris 7 Scale Decisions Without Scaling Headcount?

Iris 7 shifts teams from manual investigation workflows to governed Agentic AI-driven decisioning. AI Agents apply institutional policy, structured reasoning, and oversight controls at scale, expanding decision capacity without expanding teams.

How Regulator-Ready Is Iris 7?

Iris 7 embeds policy boundaries, authority thresholds, structured reasoning, and full audit traceability directly into how decisions are formed, ensuring outcomes remain explainable and regulator-ready.

How Regulator-Ready Is Iris 7?

Iris 7 embeds policy boundaries, authority thresholds, structured reasoning, and full audit traceability directly into how decisions are formed, ensuring outcomes remain explainable and regulator-ready.

Where Can Iris 7 Be Applied Across Compliance Operations?

From sanctions screening and transaction monitoring to complex due diligence and surveillance, Iris 7 delivers policy-bound decisioning wherever investigative judgement and regulatory scrutiny intersect.

Where Can Iris 7 Be Applied Across Compliance Operations?

From sanctions screening and transaction monitoring to complex due diligence and surveillance, Iris 7 delivers policy-bound decisioning wherever investigative judgement and regulatory scrutiny intersect.

Scale Without Compromising Control

Scale Without Compromising Control

Controlled Decision Authority

AI Agents operate within defined approval thresholds, escalation rules, and oversight controls, ensuring decisions are executed inside governance frameworks.

Controlled Decision Authority

AI Agents operate within defined approval thresholds, escalation rules, and oversight controls, ensuring decisions are executed inside governance frameworks.

Scale Without Increasing Headcount

Investigations run in parallel across all relevant data, expanding decision capacity without expanding teams.

Scale Without Increasing Headcount

Investigations run in parallel across all relevant data, expanding decision capacity without expanding teams.

Complete Decision Records

Every decision generates a retained record including assessed data, applied policy logic, reasoning path, and final outcome – supporting audit and regulatory examination.

Complete Decision Records

Every decision generates a retained record including assessed data, applied policy logic, reasoning path, and final outcome – supporting audit and regulatory examination.

Proven in Live Environments

Silent Eight has operated within leading financial institutions since 2018, delivering policy-bound decisions under established governance frameworks.

Proven in Live Environments

Silent Eight has operated within leading financial institutions since 2018, delivering policy-bound decisions under established governance frameworks.

Execution, Explainability, Accountability

What Iris 7 Delivers

Iris 7 executes decisions at the standard compliance requires.

AI Agents move institutions beyond workflow support into governed decisioning, where outcomes are reached consistently, explained clearly, and owned explicitly.

Execution, Explainability, Accountability

What Iris 7 Delivers

Iris 7 executes decisions at the standard compliance requires.

AI Agents move institutions beyond workflow support into governed decisioning, where outcomes are reached consistently, explained clearly, and owned explicitly.

Iris 7 delivers:

Policy-bound decision execution

AI Agents apply institutional policies, thresholds, and escalation rules directly in context – executing consistent decisions at scale rather than simply recommending actions.

Policy-bound decision execution

AI Agents apply institutional policies, thresholds, and escalation rules directly in context – executing consistent decisions at scale rather than simply recommending actions.

Explainable and auditable outcomes

Every decision includes a complete reasoning path and supporting evidence, explained in clear, plain language so the basis for the outcome can be easily understood.

Explainable and auditable outcomes

Every decision includes a complete reasoning path and supporting evidence, explained in clear, plain language so the basis for the outcome can be easily understood.

Human accountability by design

AI Agents execute decisions, but institutions retain defined authority, oversight, QA, and change control – ensuring governance remains explicit and enforceable.

Human accountability by design

AI Agents execute decisions, but institutions retain defined authority, oversight, QA, and change control – ensuring governance remains explicit and enforceable.

Together, these capabilities enable institutions to scale decisioning without weakening judgement, transparency, or control – even as volume and complexity increase.

Embedded Financial Crime Expertise

Iris 7 is deployed with financial crime expertise already embedded.

AI Agents reflect how experienced investigators operate in practice – gathering context, interpreting policy intent, handling exceptions, and reasoning through ambiguous information.

Embedded Financial Crime Expertise

Iris 7 is deployed with financial crime expertise already embedded.

AI Agents reflect how experienced investigators operate in practice – gathering context, interpreting policy intent, handling exceptions, and reasoning through ambiguous information.

This logic has been shaped by live production use across:

Iris 7 does not require months of configuration to become reliable. It delivers institution-ready, policy-aligned decisions from day one, built to operate under real compliance oversight.

How Does Iris 7 Execute Precise Decisions?

Iris 7 is built to execute decisions, not automate tasks.

Decision-making AI Agents perform the same investigative work as experienced financial crime analysts, applying policy consistently, transparently, and at scale.

How Does Iris 7 Execute Precise Decisions?

Iris 7 is built to execute decisions, not automate tasks.

Decision-making AI Agents perform the same investigative work as experienced financial crime analysts, applying policy consistently, transparently, and at scale.

Each AI Agent follows a structured decisioning process:

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Context Assembly

Relevant internal and external information is consolidated to form a complete investigative view.

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Policy Interpretation

Institutional policies are applied in context, accounting for typologies, exceptions, jurisdictional nuance, and investigative judgement.

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Decision Execution

Clear outcomes are reached – such as clear, escalate, or block – within defined authority and operational thresholds.

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Reasoning and Evidence generation

A complete, retained decision record shows how policy was applied, which signals mattered, and why the outcome was reached.

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Governed Execution

All activity operates within approved frameworks, including QA, sampling, overrides, and change control.

Every decision is traceable, reviewable, and defensible. Institutions increase decision capacity without weakening oversight or accountability.

Policy-Bound AI Decisioning for Financial Crime Compliance

Understand how Iris 7 AI Agents, Innovate, and End-to-End solutions support scalable, governed financial crime decisioning.

Policy-Bound AI Decisioning for Financial Crime Compliance

Understand how Iris 7 AI Agents, Innovate, and End-to-End solutions support scalable, governed financial crime decisioning.