"Fit Check" Quiz

How do you currently measure the success of your transaction monitoring rules?

We check if the system is running and generating alerts.
We look at total alert volumes per month.
We measure the conversion ratio from Alert to SAR/STR.
We don’t really measure it.

Analysis

A strong approach is conversion-led measurement across your alert lifecycle (where outcomes are tracked): Alert → Case → Escalation → SAR/STR. Alert volume alone doesn’t indicate utility

Your team is overwhelmed by false positives. What is your immediate instinct?

Turn off the rules generating the most alerts.
Hire more analysts to close alerts faster.
Conduct a data-led review to tune logic and thresholds based on evidence.
Triage faster without changing rules.

Analysis

Arbitrarily turning off rules creates risk gaps. A data-led review provides the evidence needed to tune defensibly.

When was the last time you validated your rule logic against actual customer segments?

When we installed the system 3 years ago.
We review it annually or when significant risks change.
Never.
Last week, but manually on a spreadsheet.

Analysis

Regular governance and segmentation reviews are critical. Customer behavior changes, and your rules should too.

Does your current tuning process produce an audit trail?

Yes, we have a governance committee and documented approval packs.
Changes are made informally (e.g., email requests) without a documented approval pack.
What is an audit trail?
We rely on vendor logic with limited internal documentation.

Analysis

Regulators require evidence. ‘Governance Evidence’ is a key deliverable of the Amlyze review for this exact reason.

Analysis

Analysis

Analysis

Analysis

Fit Check Summary: Strong

Fit Check Summary: Developing

Fit Check Summary: Needs Attention

Subscribe to newsletter

Subscribe to newsletter