AI Research
Zenoo integrates AI-powered research to help compliance analysts evaluate screening matches faster and with greater accuracy. The AI analyzes alert data against public sources, produces structured assessments, and can automatically resolve high-confidence false positives.
How it works
When AI research is triggered on an alert, the system:
- Builds a research prompt with the alert details, entity context, and screening match data
- Submits to Perplexity AI (sonar-pro model) for live web research
- Parses the structured response into assessment fields
- Updates the alert with the AI analysis results
- Optionally chains to auto-disposition if configured for the alert category
Triggering AI research
Manual trigger (API)
curl -X POST "https://api.zenoo.com/v1/alerts/alt_001/ai-research" \
-H "Authorization: Bearer your-api-key"
{
"status": "processing",
"message": "AI research initiated. Results will be available shortly.",
"estimated_seconds": 15
}
Automatic trigger (auto-triage)
When auto-triage is enabled, new alerts are automatically sent for AI research based on configuration rules:
| Configuration | Description |
|---|
| Allowed alert types | Which types trigger auto-triage (e.g., Screening) |
| Excluded categories | Categories to skip (e.g., Sanctions Hit) |
| Batch size | Maximum alerts processed per trigger |
Auto-triage runs asynchronously. For large batches, the system uses Platform Events to distribute the workload across multiple async processes.
AI assessment structure
After research completes, the alert is updated with the following fields:
| Field | Type | Description |
|---|
ai_assessment | string | Detailed narrative analysis of the screening match |
ai_confidence | number | AI confidence in the assessment (0-100%) |
false_positive_probability | number | Estimated probability the match is a false positive (0-100%) |
ai_recommended_action | string | Suggested resolution: Approve, Decline, Escalate |
ai_sources | array | URLs and titles of sources consulted |
ai_researched_at | string | ISO 8601 timestamp of research completion |
Retrieving AI results
curl -X GET "https://api.zenoo.com/v1/alerts/alt_001/ai-research" \
-H "Authorization: Bearer your-api-key"
{
"status": "completed",
"assessment": "The matched entity 'J. Smith' on the OFAC SDN list was designated in 2019 for activities related to Iranian oil exports. The subject 'John Smith' is a UK national with no connection to the sanctioned individual. Different date of birth (1975 vs 1960) and different country of residence.",
"confidence": 92,
"false_positive_probability": 95,
"recommended_action": "Approve",
"sources": [
{
"title": "OFAC SDN List",
"url": "https://sanctionssearch.ofac.treas.gov/"
},
{
"title": "Companies House",
"url": "https://find-and-update.company-information.service.gov.uk/"
}
],
"researched_at": "2026-02-16T10:05:30Z"
}
Confidence scores
The AI produces two related but distinct scores:
| Score | What it measures |
|---|
| AI Confidence | How certain the AI is about its own assessment |
| False Positive Probability | How likely the match is a false positive |
| Confidence | FP Probability | Interpretation |
|---|
| High (above 80) | High (above 80) | Strong evidence of false positive |
| High (above 80) | Low (below 30) | Strong evidence of true positive |
| Low (below 50) | Any | Insufficient data — needs human review |
Auto-disposition pipeline
Alerts that meet category-specific thresholds can be automatically resolved as false positives:
Configuration per category
| Category | Auto-Disposition | FP Threshold | QA Sample Rate |
|---|
PEP Match | Enabled | 90% | 10% |
Adverse Media | Enabled | 90% | 15% |
Sanctions Hit | Disabled | N/A | N/A |
Name Mismatch | Enabled | 85% | 5% |
DOB Mismatch | Enabled | 85% | 5% |
Sanctions hits are never auto-disposed by default. Automated resolution of sanctions matches may violate regulatory requirements. Always configure Sanctions Hit with auto-disposition disabled.
QA sampling
A configurable percentage of auto-disposed alerts are flagged for quality assurance review. QA-flagged alerts are resolved but marked with qa_sample: true, allowing compliance officers to periodically review the AI’s accuracy.
Company research
AI research can also be used for KYB (Know Your Business) company research:
curl -X POST "https://api.zenoo.com/v1/entities/ent_abc123/ai-research" \
-H "Authorization: Bearer your-api-key" \
-H "Content-Type: application/json" \
-d '{
"research_type": "company",
"include": ["registration", "directors", "financials", "media"]
}'
Next steps
