For AML/CFT · fraud · permanent control
NELSIA CONTROL · Banking & finance
What is this AI system actually doing in production, under which version, and where does a human need to take over?
Before / with NELSE
Today
AI governance is often based on declared design rather than observed operation.
Model changes, incidents and overrides live in separate technical and compliance systems.
Human oversight is documented in policy but difficult to evidence in practice.
With NELSIA CONTROL
Observed behaviour is tied to system version and governance context.
Controls, deviations and human interventions become reviewable events.
Runtime evidence can feed the broader regulatory dossier.
Execution path
Define purpose, version, owners, controls and required evidence.
Connect relevant outputs, metrics, events and control results.
Route deviations or required judgement to accountable humans.
Preserve evidence for audit, incident review and regulatory reassessment.
Deliverables
Boundary
CONTROL supports operational governance. It does not itself certify legal conformity or replace model-risk, security, clinical or professional judgement.
