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How Do I Use AI Research?

Zenoo’s AI research feature analyzes screening alerts using real-time web research and machine learning. It helps you determine whether a screening match is a true positive or a false positive, saving hours of manual investigation.

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What you’ll learn

  • How to trigger AI research on an alert
  • What the AI insights panel shows
  • How to interpret confidence scores and false positive probabilities
  • How auto-triage works
  • When to rely on AI and when to investigate manually

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How do I run AI research?

1

Open an alert

Navigate to your alert queue and click on a screening alert (PEP Match, Sanctions Hit, or Adverse Media).
2

Click AI Research

In the alert detail panel, click the AI Research button. The system queues the alert for AI analysis. A spinner indicates processing is in progress.
AI research runs asynchronously. You can continue working on other alerts while it processes. You will receive a notification when the analysis is complete.
3

Review results

When analysis completes, the AI insights panel populates with the results. You can also access the results by returning to the alert later — they persist on the alert record.

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What does the AI insights panel show?

The AI insights panel is divided into several sections:
The AI’s overall assessment of the screening match:
  • Match assessment — a narrative explanation of whether the matched person in the database is likely the same person as the entity being verified
  • Key findings — bullet points summarizing the most important evidence for or against a true match
  • Comparison points — specific data points compared (name, date of birth, nationality, known addresses)

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How does auto-triage work?

For high-volume teams, Zenoo can automatically triage new screening alerts:
  1. When a new alert is created, the auto-triage system checks if it matches the configured criteria (alert type, category, status)
  2. If eligible, AI research runs automatically — no manual trigger needed
  3. After research completes, the auto-disposition engine evaluates the results
  4. If the false positive probability exceeds the configured threshold (e.g., 95%), the alert is automatically resolved as a false positive
  5. A percentage of auto-resolved alerts are flagged for QA sampling — they appear in your queue with a “QA Sample” badge for spot-checking
Auto-triage and auto-disposition are configured by your compliance team’s administrator. Not all alert types are eligible, and thresholds vary by category. Sanctions alerts, for example, typically require manual review regardless of the AI’s assessment.

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When should I investigate manually?

AI research is most effective for:
  • Common name matches — where the AI can compare biographical details to distinguish between individuals
  • PEP matches — where public information about the PEP’s role and tenure is available
  • Adverse media — where the AI can assess whether media articles refer to the same individual
Investigate manually when:
  • The AI confidence is below 70%
  • The alert involves sanctions (even high-confidence AI results on sanctions should be verified)
  • The entity’s risk tier is already High for other reasons
  • The false positive probability is in the uncertain range (40-69%)

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What’s next?

Review Alerts

Apply AI insights during your alert review workflow.

Understand Risk Scores

See how AI findings contribute to risk assessments.

Collaborate With Your Team

Share AI research findings with colleagues via comments.

Read the Audit Trail

AI research actions and auto-dispositions are logged for compliance.