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IRIS 7

IRIS 7

Policy-Bound

AI Decisioning

AI Decisioning

for Financial Crime Compliance

for Financial Crime Compliance

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HSBC Logo

Find Out How Iris 7 Helps

Find Out How Iris 7 Helps

What Is Iris 7?

Iris 7 makes financial crime decisions at scale by replicating the investigative judgement of experienced analysts, with AI Agents delivering consistent, transparent outcomes across high-volume compliance operations.

What Is Iris 7?

Iris 7 makes financial crime decisions at scale by replicating the investigative judgement of experienced analysts, with AI Agents delivering consistent, transparent outcomes across high-volume compliance operations.

Who Is Iris 7 Built For?

Our decision-making AI Agents are deployed by institutions responsible for high-stakes decisions across sanctions, AML, fraud, and compliance risk, where volume, complexity, and regulatory scrutiny intersect.

Who Is Iris 7 Built For?

Our decision-making AI Agents are deployed by institutions responsible for high-stakes decisions across sanctions, AML, fraud, and compliance risk, where volume, complexity, and regulatory scrutiny intersect.

What Sets Iris 7 Apart?

Iris 7 is purpose-built for financial crime compliance’s evolving regulatory standards, proven in live production, and trusted by Tier 1 banks.

What Sets Iris 7 Apart?

Iris 7 is purpose-built for financial crime compliance’s evolving regulatory standards, proven in live production, and trusted by Tier 1 banks.

AI You Can Trust With Decisions

Iris 7 executes financial crime decisions within governed, policy-bound frameworks that are explainable, auditable, and defensible under regulatory scrutiny.

Unlike general-purpose Agentic AI, Iris 7 is built for FCC standards, where decisions must be executed with accountability, not merely recommended.

General-purpose Agentic AI accelerates workflows. Iris 7 executes decisions with human accountability.

AI You Can Trust With Decisions

Iris 7 executes financial crime decisions within governed, policy-bound frameworks that are explainable, auditable, and defensible under regulatory scrutiny.

Unlike general-purpose Agentic AI, Iris 7 is built for FCC standards, where decisions must be executed with accountability, not merely recommended.

General-purpose Agentic AI accelerates workflows. Iris 7 executes decisions with human accountability.

General Agentic
AI Platforms

Primary Focus

Broad enterprise productivity

Typical Outputs

Recommendations

or assisted actions

Accountability Model

Human remains sole

decision owner

Governance Depth

Monitoring and logs

Regulatory Readiness

Not designed for FCC scrutiny

Silent Eight
Iris 7

Primary Focus

Financial crime decisioning

Typical Outputs

Executed decisions

Accountability Model

AI operating

under human accountability

Governance Depth

Full traceability,

policy mapping, and QA

Regulatory Readiness

Built for audit, MRM, and regulators

See How Iris 7 Works

See How Iris 7 Works

Proven in Production

Iris 7 is not a conceptual platform or a future roadmap. 

Silent Eight has been operating in live FCC environments since 2018, embedded within Tier-1 financial institutions’ compliance operations and subjected to ongoing internal and external scrutiny.

The platform is used to execute decisions across sanctions, AML, fraud, trade surveillance, and complex due-diligence workflows – areas where accuracy, consistency, and defensibility are essential.

Proven in Production

Iris 7 is not a conceptual platform or a future roadmap. 

Silent Eight has been operating in live FCC environments since 2018, embedded within Tier-1 financial institutions’ compliance operations and subjected to ongoing internal and external scrutiny.

The platform is used to execute decisions across sanctions, AML, fraud, trade surveillance, and complex due-diligence workflows – areas where accuracy, consistency, and defensibility are essential.

In production, Iris 7 has delivered:

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Precision

Consistent decision outcomes across regions and regulatory regimes

Consistent decision outcomes across regions and regulatory regimes

Consistent decision outcomes across regions and regulatory regimes

Seamless integration into existing compliance architectures

Seamless integration into existing compliance architectures

Seamless integration into existing compliance architectures

No decision-quality errors reported by clients to date

No decision-quality errors reported by clients to date

No decision-quality errors reported by clients to date

Iris 7’s production history demonstrates that AI-driven decisioning can operate at scale while meeting the governance, transparency, and control standards that FCC demands.

See Iris 7 in Action

See Iris 7 in Action

What Use Cases Does Iris 7 Offer?

Iris 7 is applied wherever financial crime decisions require consistency, transparency, and control, delivering governed decision-making across the following use cases:

What Use Cases Does Iris 7 Offer?

Iris 7 is applied wherever financial crime decisions require consistency, transparency, and control, delivering governed decision-making across the following use cases:

AML Transaction Monitoring

High-volume alert environments where consistent risk interpretation and defensible escalation decisions are critical.

AML Transaction Monitoring

High-volume alert environments where consistent risk interpretation and defensible escalation decisions are critical.

Sanctions Screening

Complex name matching and jurisdictional nuance requiring contextual policy interpretation rather than rigid rule outcomes.

Sanctions Screening

Complex name matching and jurisdictional nuance requiring contextual policy interpretation rather than rigid rule outcomes.

PEPs and Adverse Media Screening

Materiality-driven risk assessment where contextual judgement is needed to separate genuine exposure from noise.

PEPs and Adverse Media Screening

Materiality-driven risk assessment where contextual judgement is needed to separate genuine exposure from noise.

Customer Due Diligence

Judgement-heavy CDD and EDD reviews involving complex ownership structures, high-risk profiles, and cross-border considerations.

Customer Due Diligence

Judgement-heavy CDD and EDD reviews involving complex ownership structures, high-risk profiles, and cross-border considerations.

Regulatory Reporting Decisioning

Reporting workflows where policy thresholds, evidentiary standards, and regulator scrutiny demand structured, explainable decisions.

Regulatory Reporting Decisioning

Reporting workflows where policy thresholds, evidentiary standards, and regulator scrutiny demand structured, explainable decisions.

QA and Controls

Decision-quality oversight environments where consistent policy application, traceability, and governance assurance are essential.

QA and Controls

Decision-quality oversight environments where consistent policy application, traceability, and governance assurance are essential.

Find Out How Iris 7 Can Help

Find Out How Iris 7 Can Help

A Scalable Operating Model

For Financial Crime Compliance

A Scalable Operating Model

For Financial Crime Compliance

Traditional Compliance

In many compliance operations, decisioning remains tied to human teams. As volumes increase, scale is achieved by expanding analyst teams, creating operational strain and inconsistency over time. This model cannot scale sustainably.

Infinite scalability with Iris 7

Iris 7 AI Agents introduces a different approach. AI Agents execute financial crime investigations and deliver context-rich decisions across the full population of data, enabling investigative depth beyond the limits of human capacity.

Decisioning scales without expanding teams, allowing human expertise to be focused where it adds value: defining policy intent, setting decision boundaries, reviewing exceptions, and retaining accountability.

Under this operating model:

Deeper investigations are delivered consistently, aligned to defined policy and risk standards.

Deeper investigations are delivered consistently, aligned to defined policy and risk standards.

Decision-ready context is produced for each outcome, with applied reasoning and supporting evidence for human analysts.

Decision-ready context is produced for each outcome, with applied reasoning and supporting evidence for human analysts.

Accountability remains explicit, with clear ownership and escalation retained by the institution.

Accountability remains explicit, with clear ownership and escalation retained by the institution.

Governance is continuous, supported through quality assurance, auditability, and controlled change.

Governance is continuous, supported through quality assurance, auditability, and controlled change.

The result is a compliance model that scales decision execution without scaling teams – while maintaining regulatory standards and control.

Policy-Bound Decisioning Built for Financial Crime

Discover how Iris 7 powers compliance teams to deliver financial crime decisions at scale.

Explore Iris 7

Policy-Bound Decisioning Built for Financial Crime

Discover how Iris 7 powers compliance teams to deliver financial crime decisions at scale.

Explore Iris 7