Assess
your AML team’s
AI readiness

Answer a short questionnaire to understand where your organization stands today in detection, investigation, data readiness, model risk, and AI adoption.

Agentic AI can help AML teams move faster, reduce operational pressure, and improve auditability — but only when the right foundations are in place. This questionnaire helps identify how ready your current AML operating model is for AI-enabled scenario development, alert management, and investigation support. Your answers will give Consortix a clearer view of your priorities and where AI could create the most value.

AI-readiness
questionnaire

On average, how long does it take to move a new detection scenario from concept to production?
How many active detection scenarios are running in your system today?
How many AML alerts does your system generate per day on average?
How many AML investigators do you have?
On average, how long does it take to investigate one alert?
What is the measured false positive rate on an average scenario of yours?
Do you have a labelled alert or SAR history that could be used for training?
Where does your AML team stand today on AI and ML usage in detection? (scenario authoring, alert scoring, recalibration, false positive management)
Where does your AML team stand today on AI and ML usage in investigation? (case triage, adverse media, SAR narrative drafting, investigator support)
Do you have a formal model risk management process, and does it cover AI models?
How much internal capacity does your organization have for AML scenario development and maintenance?
Which agentic AI use case would deliver the most value for your organization right now?
What is the most important outcome you expect?

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