Using Compliance co-pilot to evaluate AML hits
Last updated: May 14, 2025
Compliance Copilot is designed to simplify the process of reviewing AML (Anti-Money Laundering) hits by sharing a summary and assigning a relevance score to each result, helping compliance officers quickly identify whether a hit warrants deeper investigation.
Once you run AML Screening on a user, scroll down to the AML section and follow the below steps.
Example in the video: We ran a AML check on Donald Trump (DoB 1999, United Kingdom) which returned 4 hits.
Click Compute Relevance Scores
Co‑Pilot analyses each hit and assigns a Relevance Score.
A Summary of the hit is also generated with information relevant to the hit
You’ll also see quick badges for Name Match, Age Match, and Location Match.
Interpret the Scores
Relevance Score
Meaning
Typical Action
High
Strong match across name + at least one other attribute
Review the document in detail
Medium
Partial match (e.g., name only)
Review if the case is high‑risk; otherwise resolve
Low
Minimal or no contextual match
Mark as false positive and resolve
Resolve or Escalate
High Score → open the linked article / watchlist entry, confirm by reading the co-pilot summary, then approve or escalate.
Low / Medium → You can confidently Resolve these hits, if the score is low or medium or double check to be certain it’s not your user (e.g., same name, different age/location).
Why Use Compliance Co‑Pilot?
Traditional Review | Co‑Pilot |
Manually open every hit (10‑15 min each) | Relevance Scores reduce review times to an average of a minute |
Risk of missing context or bias when documents are in a different language or very long | Clean and relevant summaries of the entire hit in English or language of choice |
Prone to Human error | Consistent, data‑driven scoring with less than 0.1% error rate. |