SOC2ISO27001

Check AML Entity Lookup — Compliance Automation

Compliance teams monitor regulations across multiple jurisdictions. Manual checking creates gaps and increases regulatory risk.

38
Fields Extracted
300s
Max Processing
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What This Template Does

AI-powered extraction using gemini-2.5-flash. Part of 113 production-ready templates.

Capabilities

  • Sanctions Screening
  • Regulatory Check
  • Document Processing
  • Aml
  • Ofac

Output Schema

{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "title": "AML Entity Lookup Result",
  "description": "Schema for Anti-Money Laundering entity screening results including OFAC, PEP, and adverse media checks",
  "type": "object",
  "required": [
    "entity_name",
    "entity_type",
    "screening_date",
    "risk_level",
    "recommended_action"
  ],
  "properties": {
    "entity_name": {
      "type": "string",
      "description": "Full legal name of the screened individual or orga
...

Quick Start

$ pip install doclayer
$ doclayer process document.pdf --agent compliance.aml-entity-lookup

See It In Action

Real extraction example showing input document and structured output.

Input Document
SANCTIONS SCREENING REPORT
===========================

Reference ID: SCR-2024-00847
Screening Date: 2024-03-15
Screening Provider: GlobalWatch Compliance Services

ENTITY INFORMATION
------------------
Name: Elena Kowalski
Type: Individual
Date of Birth: 1978-07-22
Nationality: Polish
Passport Number: AB1234567
Current Address: 45 Riverside Drive, London, UK

SCREENING RESULTS
-----------------

OFAC SDN LIST CHECK: NEGATIVE
No matches found against the OFAC Specially Designated Nationals list.
Extracted Data
{
  "entity_name": "Elena Kowalski",
  "entity_type": "individual",
  "aliases": null,
  "date_of_birth": "1978-07-22",
  "nationality": "Polish",
  "jurisdiction": null,
  "registration_number": null,
  "screening_date": "2024-03-15",
  "ofac_match": "NEGATIVE",
  "ofac_details": null,
  "eu_sanctions_match": "NEGATIVE",
  "un_sanctions_match": "NEGATIVE",
  "match_confidence": null,
  "match_type": null,
  "pep_status": "NEGATIVE",
  "pep_details": null,
  "adverse_media": {
    "count": 0,
    "categories": [],
    "items": []
  },
  "risk_level": "LOW",
  "risk_factors": [],
  "recommended_action": "CLEAR",
  "document_type": "sanctions_screening_report",
  "screening_provider": "GlobalWatch Compliance Services",
  "reference_id": "SCR-2024-00847"
}

Clean OFAC/PEP screening result for Polish individual with no adverse findings. Demonstrates successful negative screening scenario with low risk score, complete documentation from GlobalWatch Compliance Services.

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Frequently Asked Questions

What documents can AML Entity Lookup process?

The AML Entity Lookup template processes compliance documents including various formats and layouts. See the instructions for specific document types supported.

How accurate is the AML Entity Lookup extraction?

The AML Entity Lookup template uses Gemini 2.5 Flash for high-accuracy extraction. Results include confidence scores for each field.

Can I customize the AML Entity Lookup template?

Yes, you can modify the extraction schema, add custom fields, or adjust the instructions to match your specific requirements.

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