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AI Match Resolution

AI Match Resolution helps reviewers decide whether a possible sanctions, PEP, adverse-media, or fuzzy-name hit is the right person. It scores the name and surrounding identity context, then explains each signal before recommending accept, reject, review, or escalate.

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What It Covers

Reduce false positives by comparing name matches against country, date of birth, nationality, employer, education, and address.

01

False-positive risk scoring

02

Country, DOB, nationality, employer, education, and address checks

03

Readable signal-by-signal evidence

04

Resolution queue with exports

Steps

How to use ai match resolution

1

Create a case

Start from a KYC workflow or enter the subject and possible match manually.

2

Compare context

Review name, country, date of birth, nationality, employer, education, and address signals.

3

Resolve the match

Mark the case as likely match, false positive, needs review, or escalated with reviewer notes.

Next Step

Choose the right access path before opening the workflow.

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