Trusted data. Governed AI. Built for financial services.

Compliance and financial crime, fraud, credit and counterparty risk, customer and relationship intelligence, enterprise risk and controls, operations and process intelligence, and portfolio and investment intelligence can reuse the same governed data foundation and platform capabilities, while maintaining distinct access rights, purposes, workflows, and controls.

Argonos brings alert, customer, account, transaction, counterparty, screening, document, and relationship data into a governed case context. Analysts can investigate using search, graphs, timelines, maps, and dashboards, with traceable access to source records and documents, then move through governed workflows while preserving evidence, rationale, approvals, and a complete audit trail through SAR/STR preparation and regulatory reporting.

Fraud controls are more effective when identity, transaction, device, claims, document, relationship, and historical case data can be analyzed together. Argonos connects these sources, supports graph and behavioral analysis, helps prioritize alerts and cases with explainable risk context, and keeps investigation evidence, rationale, and decisions in a traceable workflow.

Not by default. Argonos connects and governs specialist systems, adding shared business context, reusable data preparation and modeling, investigation capabilities, workflows, evidence trails, and reporting. Individual components can be consolidated or replaced selectively when the institution has a clear business, control, and architectural rationale.

AI operates on governed data and within defined tasks, permissions, and approval boundaries. Model and prompt versions, inputs, outputs, source references, tool calls, and user actions can be monitored and logged. Sensitive or consequential actions require human validation, and the underlying workflow remains operable without AI, so AI assistance does not become an operational dependency.

Yes. Argonos can be deployed on-premises, in private cloud or hybrid environments, or as a controlled SaaS deployment, with granular access governance, controlled data residency and processing boundaries, full data lineage, retention controls, and Kubernetes-based scalability.

Argonos is designed for batch, scheduled, interactive, and governed event-driven workflows, including periodic controls, historical analysis, data preparation, rule- and model-based processing, alert generation, case investigation, approvals, and reporting. Near-real-time use cases require an architecture review for latency, resilience, and control requirements. Sub-second payment or card authorization, and fully automated non-explainable blocking, are not its primary target operating model. Argonos connects detection and alerts to explainable investigation, governed workflows, and controlled decision-making.