Governance & Control

Your AI runs, responsibility doesn’t

Back to AI for AML

AI brings new responsibilities into AML work. Teams need to know who owns the tool, who checks its performance and who acts when something goes wrong. We help put that structure in place, with clear responsibilities and procedures that work in day-to-day operations.

Starting from the AML task

The work involves those responsible for AML, risk and technology and builds on the governance already in place. Together, we establish how AI use and system changes are approved, what needs to be monitored and when issues should be escalated. The starting point is the AML task itself: how the tool is used, what could go wrong and where oversight is needed.

With AML, risk and technology, building on the governance already in place
The AML taskHow the tool is used, what could go wrong and where oversight is needed
ApprovalHow AI use and system changes are approved
MonitoringWhat needs to be monitored
EscalationWhen issues should be escalated

From decisions to daily routines

These decisions form the basis for documented responsibilities, control procedures and reporting routines. Each control has an owner, a clear purpose and defined evidence to demonstrate that it is working. This helps teams understand what is expected of them and gives those overseeing AML a clearer basis for following up on how AI is being used.

Documented responsibilitiesWho owns what
Control proceduresHow performance is checked
Reporting routinesWhat oversight receives
Each control
OwnerWho is responsible
PurposeWhy it exists
EvidenceThat it is working

What you get

AI governance framework
Roles & responsibilities
Policies & controls
Approval & oversight processes
Monitoring & change management

Let’s up your AI