Your Bank’s AI-Powered Intelligent AML Compliance Partner

Legacy systems score transactions against static, single-dimension thresholds in end-of-day batches. Clari5 profiles each customer against their own history and peer group in real time and batch, using 200+ pre-built behavioural scenarios, so it catches patterns a flat rule never sees.

Clari5 ships with goAML / FIU reporting formats pre-configured for 70+ countries against FATF and regional standards, so filing doesn't start with building an integration.

Yes — Clari5 also runs an AML Suite for Insurance built on the same detection and case-management core, tuned to insurance-specific typologies and reporting obligations.

Every GenAI output -- an auto-closed alert, a drafted SAR/STR narrative, a rationale -- is logged, explainable and held for human approval before it affects a case, so nothing acts on a black-box basis.

On-premise inside your own data centre (including air-gapped environments, with on-premise LLMs for GenAI) or as Compliance-as-a-Service on Clari5-managed infrastructure. Timeline depends on scope and integration complexity -- a Clari5 specialist can size it against your environment on a call.

Yes, though most institutions get more value running Clari5 FRAML -- fraud and AML sharing one signal fabric, one case workflow and a single customer risk view -- rather than keeping the two fully separate.

Beyond the fines themselves -- global AML penalties totalled $10.4B in 2024 and surged a further 417% in H1 2025 -- non-compliance now carries personal liability for compliance officers and, in the worst cases, licence revocation.

Fraud and money laundering increasingly move through the same accounts and networks, which is why point solutions miss the connection. Clari5 FRAML unifies both under one signal fabric and one case workflow instead of two disconnected systems.

Structuring, round-amount and flow-through patterns; sequential monetary instruments and dormant-account reactivation; high-volume/low-value and PEP-linked transactions; trade-based money laundering, proliferation financing and cyber-enabled fraud; and human trafficking / wildlife crime red flags.

Every model decision is logged and explainable, agentic actions are held for human approval before they affect a case, and scenario tuning is continuous rather than a black box retrained out of view -- built to stand up to model-risk review, not just detection review.

Yes. Suspicious Activity Monitoring, Customer Risk Categorization, Watchlist Screening & Entity Resolution, Regulatory Reporting, Case Management and goAML Integration can each be deployed on their own, all sharing the same underlying customer intelligence layer.

A live compliance overview -- overall risk scoring, alerts over time, screening latency, and per-case detail down to the individual flagged transaction -- so nothing sits behind a report you have to ask someone to run.