CoSupport AI
What is Pascal?
Leverage advanced artificial intelligence for robust Know Your Customer (KYC) and Anti-Money Laundering (AML) compliance processes. Pascal utilizes AI models trained on diverse open-source and client-specific data, employing machine learning and Natural Language Processing (NLP) to effectively analyze, interpret, and structure adverse media across numerous languages. This capability significantly accelerates client and third-party onboarding by automating much of the screening process, providing clear insights swiftly.
The platform focuses on minimizing false positives through self-learning algorithms that adapt to evolving regulations, ensuring compliance teams concentrate on genuine risks. Continuous monitoring provides timely alerts on relevant changes concerning clients or third parties. Featuring an intuitive user interface, users can initiate searches easily and receive clearly presented results. Pascal supports collaboration among different teams, including client-facing staff, compliance managers, and external auditors. Every action is logged, creating a comprehensive audit trail for transparency and regulatory assurance, backed by ISAE 3402-II certification.
Features
- AI-Powered Risk Analysis: Utilizes AI, ML, and NLP to assess risks from diverse data sources.
- Adverse Media Screening: Interprets and structures adverse media information in multiple languages.
- Continuous Monitoring: Delivers real-time alerts on changes related to clients and third parties.
- Reduced False Positives: Employs self-learning algorithms to improve accuracy and relevance.
- Intuitive User Interface: Offers simple search functionality and clear result presentation.
- Collaboration Support: Facilitates teamwork between different departments and auditors.
- Full Audit Trail: Logs all searches and decisions for compliance and transparency.
- Risk Classification: Categorizes identified risks for better assessment.
Use Cases
- Performing Know Your Customer (KYC) checks.
- Ensuring Anti-Money Laundering (AML) compliance.
- Assessing risks during client and third-party onboarding.
- Continuously monitoring entities for compliance risks.
- Reducing false positives in compliance screening alerts.
- Streamlining compliance department workflows.
- Facilitating audits of compliance procedures.
- Screening for adverse media mentions.
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