Diligent

What is Diligent?

Diligent is an AI solution for risk and AML compliance teams. It automates and strengthens customer due diligence controls: running risk investigations on legal entities, reviewing customer documents, and clearing false positive alerts from AML systems. The tool integrates with existing systems and vendors without disruptive changes, offers a user-friendly interface, and can be customized through an API. By automating these tasks, Diligent reduces the time and cost of AML compliance and smooths customer onboarding by verifying business information and validating uploaded documents.

Who created Diligent?

Diligent was built to empower risk and AML compliance teams by automating and improving customer due diligence. Fintechs and banks use it to investigate legal entity risks, review customer documents, and handle false positive alerts from AML systems.

What is Diligent used for?

• Streamlining operations: Automates day-to-day tasks for fraud and AML teams.
• Risk investigations: Conducts risk checks on legal entities.
• Document review: Reviews customer documents such as registry extracts and proof of address.
• Reducing false positives: Cuts down on false positive alerts from Anti-Money Laundering systems.
• Onboarding efficiency: Verifies business information and validates customer documents to reduce friction during onboarding.
• Transaction monitoring support: Assists with monitoring transactions.
• Regulatory adherence: Helps meet regulatory compliance requirements.
• Audit trails: Keeps a detailed record of activity for a comprehensive audit trail.

Who is Diligent for?

Diligent serves compliance teams, fraud and AML teams, risk assessment specialists, KYC/AML specialists, and risk and compliance operations professionals, including compliance teams in the fintech industry.

Key features

• Easy integration: Connects with existing AML/KYC systems without disruptive changes, so current operations continue uninterrupted.
• User-friendly interface: Built for efficiency, reducing time spent on training and onboarding to new software.
• API customization: An API can be integrated to tailor the tool to specific business needs.