For compliance and AML teams

Act on regulatory changes and investigate suspicious cases.

Compliance and anti-money-laundering teams need to implement requirements and assess unusual transactions. T-NEX supports both tasks with suitable applications. Information, assessments and decisions stay linked to their professional sources.

Discuss your compliance workflow Explore the details

Compliance and AML

01Two workflows with different outcomes
02Requirements work: trace each gap to its source
03Monitoring: investigate the reason for an alert

Aligned with your processes

In daily work

Two workflows with different outcomes

For compliance officers, money laundering reporting officers, regulatory analysts and financial-crime investigation teams.

Under section 25a KWG, the independent compliance function forms part of internal control. AML has specific duties: section 5 GwG addresses risk analysis and section 43 addresses suspicious transaction reporting. Software selection therefore starts with the actual task and its decision process.

Task	Required output	Responsibility in the workflow
Assess a regulatory change	A requirement with a source, applicability and responsible team	Compliance reviews the business interpretation.
Assess implementation of a control	An assessment with internal evidence and any necessary action	The business team supplies evidence; the authorised function assesses and approves.
Investigate an unusual transaction	A case decision with evidence, reasoning and next steps	Analysts and the AML function follow the institution’s escalation process.

Overview

Requirements work: trace each gap to its source

T-NEX Compliance links document versions and clauses to requirements, assessments and actions. A changed policy is a useful starting point: the team checks the source clause, identifies the relevant internal rules and decides whether a gap exists.

The demonstration also covers handovers. Clauses, gaps and actions have separate approval points. These allow you to check whether editing and approval match your allocation of responsibilities.

Overview

Monitoring: investigate the reason for an alert

Fraud Detection brings alerts, customer context and supporting transactions into a case file. AI triage supports review. Responsible staff retain the business decision and document their reasoning.

Useful evaluation cases include an explainable rule match, a known false positive and a case with missing data. We also check how the team continues when an AI service fails. A draft report in the module is separate from reviewing and submitting a suspicious transaction report.

Case management and rule testing

Overview

Four criteria for a sound selection

The practical test is whether a colleague can understand the case later without a verbal explanation. We agree specific cases for evaluating the software.

Source traceability: which document version or transaction supports the result?
Separation of responsibilities: who may prepare, edit, approve or only read?
Correction: how are an incorrect mapping and a rejected AI assessment corrected?
Workload: how many requirements or alerts can your team actually review?

Overview

Start with a defined assessment scope

For requirements work, bring an approved external rule, an internal policy and an expected assessment result. For monitoring, we use synthetic or expressly approved transactions and expected decisions. This allows a practical comparison of the starting point, working steps and output.

Data access, the operating environment and permitted AI use are defined before rollout. We review workflows with your team and configure appropriate roles and approvals.

FAQ

Frequently asked questions

Is a compliance system also a complete AML solution?

Requirements need to be separated by task. T-NEX Compliance covers requirements and their implementation. Fraud Detection supports monitoring and case investigation. KYC, sanctions screening, payment decisions and regulatory submissions need separate consideration within the overall process.

Does AI approve findings or suspicious transaction reports?

AI prepares suggestions. Business assessment, approval and any reporting follow your institution’s allocation of responsibilities.

How do we distinguish a demonstration from production use?

We demonstrate the workflow with sample data and compare it with your requirements. Modules, data access, roles and operational services are defined for your installation.