per alert
The match, the list, the customer file and a translation tool.
You are measured on cleared alerts. This is the tooling that removes the noise before the queue, and puts the evidence next to the match.
Everything that removes a tab from the decision.
Ninety-five percent of alerts are not the person on the list, and finding that out takes four tabs, a translation and a guess about which field matched. The work is not hard. It is repetitive in a way that hides the one that matters.
The match, the list, the customer file and a translation tool.
No way to clear the pattern, only the instance.
A number without the matched field is a guess with a decimal point.
Ranked by score, grouped by customer, reason on the row. Auto-cleared deltas never arrive.
Matched field, list, source text and the original language side by side with the translation.
Once tuned, a whole match pattern clears at once — and the clearance survives the next list update.
The case opens with the evidence already attached; the MLRO reads rather than reconstructs.
The quality bar is not speed. It is whether someone else can read your decision in three years and understand it.
Read the compliance guidesEntity resolution removed most of the queue, pattern clearing removed most of what remained, and the team handled twice the customer base with the same five people.
Yes — the matched field, the list it came from, the score band, and the source text in its original language.
Once a pattern is tuned, yes. The clearance attaches to the name and survives the next list update.
Original script and translation appear side by side; nothing is normalised away before you see it.
One action. The case opens with the evidence already attached.
We will load sample alerts from your sector and let you clear them. That is the whole demo.