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"

Response:

{
  "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"

Response:

{
  "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

A high confidence score with a high false positive probability means the AI is very sure this is not a true match. A high confidence score with a low false positive probability means the AI is very sure this is a genuine match that requires action.

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"]
  }'

This returns a structured company profile with registry data, director information, financial overview, and recent media mentions.

Next steps

Alert Management. Full alert lifecycle and resolution options.
Alert Review Quickstart. Hands-on alert triage walkthrough.
Alerts Data Model. Full field reference including AI fields.

Getting Started

Use-Case Guides

Platform Concepts

Domain Concepts

Data Model

AI Research

AI Research

How it works

Triggering AI research

Manual trigger (API)

Automatic trigger (auto-triage)

AI assessment structure

Retrieving AI results

Confidence scores

Auto-disposition pipeline

Configuration per category

QA sampling

Company research

Next steps

​AI Research

​How it works

​Triggering AI research

​Manual trigger (API)

​Automatic trigger (auto-triage)

​AI assessment structure

​Retrieving AI results

​Confidence scores

​Auto-disposition pipeline

​Configuration per category

​QA sampling

​Company research

​Next steps

AI Research

How it works

Triggering AI research

Manual trigger (API)

Automatic trigger (auto-triage)

AI assessment structure

Retrieving AI results

Confidence scores

Auto-disposition pipeline

Configuration per category

QA sampling

Company research

Next steps