Nex Systems

Put suspicious payments in context.

Use activity rules, customer information and screening evidence to focus payment investigations on the patterns that need attention.

Start with the pattern worth reviewing.

Nex AML turns configured detection rules into focused review work.

  • Payment frequency

    Review repeated activity over a configured time window.

  • Amounts and destinations

    Apply thresholds and geographic risk conditions.

  • Customer context

    Assess the activity alongside the customer’s risk profile.

Rules that reflect the risks you review.

Use thresholds, rolling counts and sums to describe suspicious activity. Govern rule changes before they are activated.

  • Define the pattern

    Choose the activity, time window and conditions.

  • Check the context

    Review the facts that explain why the rule matched.

  • Keep changes governed

    Separate drafting from activation.

Explore transaction monitoring
Money in and money out for the 30 days before an alert fired

Give each product a clear job.

  • Nex eKYC

    Verify the customer’s identity and retain evidence for your onboarding process.

  • Nex Screening

    Review source-backed sanctions, PEP and adverse-media findings where relevant.

  • Nex AML

    Bring payment activity, customer risk and case evidence into the investigation.

Connect Nex Screening to Nex AML when configured. Bring KYC evidence into the workflow through your integration.

Keep the investigation moving.

Connect the alert, relevant transactions and supporting evidence in a Nex AML case. Nexa AI can help prepare a draft for your team to review and accept.

  • Linked evidence

    Keep alerts, transactions and documents together in one case.

  • Human-reviewed drafts

    Nexa AI can prepare a draft case summary for your team to review and accept.

Explore case management

Plan the payment review.

Nex AML evaluates supplied transactions against configured rules and brings relevant activity into investigation. Customer risk, expected activity and supporting evidence help reviewers understand the pattern and decide what follow-up the relationship needs.

Bring the payment story into view.

Explore a review workflow for your payment risks.