Add ML & Agentic AI to your fraud detection, AML & financial crime operations

Agentic AI uses software agents that carry out the steps of an investigation, from the first alert to the regulator's report, following procedures you set. People approve every filing, and the investigator remains accountable for the decision.

An assistant summarizes an alert. An agent works the case: it analyzes transactions, traces linked accounts, reviews behavioral history, and reaches a documented conclusion. The human investigator makes the call.

A rules engine acts on conditions defined in advance. Machine learning also compares activity with each customer's normal behavior, which helps identify patterns that no rule describes. Clari5 uses both, as a hybrid AI approach: rules for known risks and machine learning for deviations. AI agents then reduce the manual work of reviewing and reporting on cases.

Yes. The agents can be deployed on Clari5 EFRM and AML Suite, and on fraud and anti-money laundering systems from other vendors. You keep your current systems and add AI investigation, documentation, and filing on top of them.

Yes. You decide which alerts the agents handle and how confident they must be before they act. Human review and a full audit trail are built in, and the investigator remains accountable for the decision.

Scoring each alert against the customer's risk, history, and context helps separate unusual activity from activity that only looks unusual. Prioritization then directs analysts to the highest-risk alerts first. In AML Suite, this delivers 40 to 60% fewer false positives.

Models are explainable and monitored for drift and bias. They sit behind maker-checker controls, with an immutable audit trail, and every alert shows the factors behind it.

Deployment is on premise, air-gapped if required, or inside your own cloud tenancy.

Regulatory filing is native to the platform. It generates goAML-standard output that can be reused across multi-country deployments and supports 70+ Financial Intelligence Units (FIUs), with native submission formats for national regimes.

Banks and their risk and compliance leaders (CROs, CCOs, and MLROs) can expect faster investigations, more capacity from the same team, and stronger regulatory defensibility. Clari5 reports that AI-assisted investigation can cut investigation time by up to 70% and raise investigator productivity by up to 3x. Agents prepare the case, so analysts spend their time on decisions, and every step is recorded in an audit trail. Results depend on your alert volumes, data quality, and case complexity, so we recommend baselining cycle time, cost per case, alert backlog, and filing timeliness before go-live to measure ROI. Every decision stays with the investigator.