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Problem Description

Fintech companies operate in a tightly regulated space, requiring strict adherence to AML/KYC standards. Verifying customer identities, screening for suspicious activities, and ensuring compliance with regulatory mandates is a time-intensive and error-prone task when done manually. Automating this process using a network of AI agents coordinated through Syncloop APIs enables high accuracy, scalability, and auditability—ideal for handling large volumes of compliance operations efficiently.

How It Works

This template leverages five specialized AI agents running in a multi-agent environment using Syncloop. Each agent handles a distinct part of the AML/KYC process—ranging from document analysis to regulatory referencing and risk evaluation. The agents communicate through Syncloop APIs, allowing each to contribute insights and data toward the generation of a final compliance report.

Who can use this

  • Compliance teams at fintech firms
  • RegTech developers
  • Risk management consultants
  • Internal auditors
  • AI engineers in fintech

Benefits

  • Reduces manual compliance effort
  • Rapid auditing and reporting
  • Transparent decision logs for regulators
  • Seamless adaptation to new regulatory updates
  • Scalable architecture for growing fintech firms

Agents Required

Agent Name Specific Roles and Capabilties
Manager Agent Oversees entire compliance flow. Initiates inspections, assigns tasks, tracks progress, finalizes the process.
KYC Compliance Specialist Agent Validates KYC/CIP documentation. Reviews identity proof, matches against OFAC watchlists, checks SAR logs.
Risk Analyst Agent Identifies risk factors and red flags. Uses transaction history and behavioral patterns to generate risk scores.
Knowledge Specialist Agent Supplies latest legal standards and rules. Queries BSA, OFAC, and FinCEN databases.
Reporting Agent Compiles outputs into a final audit report. Gathers agent data, synthesizes recommendations, exports report.

Tool v/s Agent Name

Tool Agent Name
Inspection Manager Tool Manager Agent
KYC Validation Tool KYC Compliance Specialist
Risk Engine Tool Risk Analyst Agent
Regulation Fetch Tool Knowledge Specialist Agent
Compliance Report Tool Reporting Agent

Syncloop API Usage

API Endpoint Method Input Parameters Output Format Agent Name
/initiate/inspection POST {"entity": "ABC Bank", "requestor": "User123"} {"inspectionId": "INSP-001"} Manager Agent
/assign/agent POST {"inspectionId": "INSP-001", "agent": "KYC Specialist"} {"status": "Assigned"} Manager Agent
/upload/document POST {"inspectionId": "INSP-001", "documentType": "KYC Form", "fileId": "file1234"} {"status": "Uploaded"} KYC Compliance Specialist
/analyze/risk POST {"inspectionId": "INSP-001", "customerId": "CUST001"} {"riskRating": "High", "notes": [...]} Risk Analyst Agent
/reference/regulations GET {"topic": "OFAC Sanctions"} {"regulations": [...]} Knowledge Specialist
/report/compile POST {"inspectionId": "INSP-001", "include": ["risk", "kyc", "recommendations"]} {"reportUrl": "https://..."} Reporting Agent
/finalize/inspection PUT {"inspectionId": "INSP-001", "status": "Completed"} {"confirmation": "Success"} Manager Agent

Flow Summary

  1. User submits an inspection initiation request.
  2. Manager Agent generates an inspection ID and assigns other agents using Syncloop APIs.
  3. KYC Compliance Specialist processes uploaded documents like KYC forms and SARs.
  4. Risk Analyst runs transaction analysis to flag anomalies.
  5. Knowledge Specialist references current regulations and provides guidance.
  6. Reporting Agent collects outputs from the other agents and compiles a report.
  7. Manager Agent finalizes the process and shares the outcome.

Optional Enhancements

  • OCR Agent to extract data from scanned PDFs
  • Sanctions API Integration for real-time blacklists
  • Feedback Learning Agent to improve outcomes from regulatory feedback
  • Compliance Dashboard with live report stats

KPIs to Measure Success

  • Audit Completion Time: Reduced from days to hours
  • Compliance Accuracy: >95% match with actual regulations
  • False Positives: <3%
  • Risk Detection Accuracy: >90%
  • User Satisfaction: >4.5/5
  • Automation Rate: 85%+ of tasks auto-completed

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