didit-aml-screening

What This Skill Does

The didit-aml-screening skill empowers your OpenClaw AI agent to perform sophisticated Anti-Money Laundering (AML) and Know Your Customer (KYC) checks in real-time. By connecting to the Didit AML Screening API, the skill scans over 1,300 global databases, including OFAC, UN, EU, HM Treasury, and INTERPOL sanctions lists, as well as Politically Exposed Person (PEP) registers and adverse media sources. It utilizes an advanced fuzzy matching engine and a dual-layered scoring system. The 'Match Score' determines the probability that a scanned entity is indeed the subject in question, while the 'Risk Score' evaluates the potential threat level associated with that entity. This allows for automated compliance workflows and risk mitigation without requiring manual cross-referencing of dozens of disparate global databases.

Installation

To integrate this skill into your environment, run the following command in your terminal: clawhub install openclaw/skills/skills/rosasalberto/didit-aml-screening

Once installed, ensure you have your API key generated from the Didit Business Console. Configure your authentication credentials within your agent's secure settings to enable the skill's network capabilities.

Use Cases

• Client Onboarding: Screen new customers automatically during the account registration process to meet regulatory KYC requirements.
• Ongoing Monitoring: Periodically screen existing clients against updated sanction lists to detect newly added risk factors.
• Transaction Risk Assessment: Perform a quick check on parties involved in high-value transactions to ensure they do not appear on global high-risk databases.
• Reputational Due Diligence: Scan potential business partners or company directors against 50,000+ adverse media sources to identify possible financial crimes or unethical behavior.

Example Prompts

1. "Run an AML check on John Doe, born 1985-03-15, who is a US citizen, and let me know if there are any sanctions matches."
2. "Screen the company 'TechFlow Solutions' against all global watchlists and provide a summary of any risk scores detected."
3. "Perform a background risk assessment on Alice Smith using her passport number AB1234567 to ensure she isn't on any PEP lists."

Tips & Limitations

• Weight Configuration: Use the default weights (60, 25, 15) for name, DOB, and country unless your use case requires custom sensitivity settings. Ensure all weight parameters provided in a request total exactly 100.
• Golden Key: Always provide a document_number whenever possible. This acts as a 'Golden Key' for the API, significantly increasing the accuracy of matches and reducing false positives.
• Thresholding: The default match score threshold is 93. You may adjust this based on your organization's risk tolerance, though values below this may increase the rate of 'Unreviewed' flags requiring manual investigation.