Greenlite: Revolutionizing Financial Crime Compliance with AI
In the realm of financial crime prevention, Greenlite emerges as a powerful AI tool. It is designed to handle various aspects of financial compliance work with remarkable efficiency.
Overview
Greenlite is trusted by leading financial institutions. It takes on the L1 work that often slows down teams, allowing investigators to focus on real risks and proactive compliance. By automating repetitive tasks such as clearing screening alert backlogs, it enables investigators to complete more high-quality reviews in less time. For example, it automates the research for sanction, PEP and adverse media alerts.
Core Features
- Screening Alerts: Greenlite helps transaction monitoring investigators analyze case details faster with better documentation when handling transaction monitoring alerts.
- Customer Due Diligence: It reviews customer documentation, financial statements and web presence to assess new risks from a customer in seconds.
- Automating Onboarding Reviews: Greenlite automates KYC and KYB reviews that were previously manual, facilitating faster onboarding of good customers.
Basic Usage
Greenlite is built to work seamlessly with existing systems. It connects to your case management system via its robust API and webhook platform. You can keep using your usual SOPs and processes as Greenlite learns and follows them precisely, generating more detailed and auditable reports. By automating manual, repetitive tasks, it can reduce time-per-case by 70 - 90%, freeing up your team to focus on crucial areas, thus optimizing and scaling your operations while keeping costs low.
In comparison to other existing AI solutions in the financial compliance space, Greenlite stands out with its comprehensive set of features focused specifically on financial crime prevention and compliance. It not only automates routine tasks but also enhances the overall efficiency and effectiveness of the financial crime program, making it a valuable asset for banks, fintechs and other financial institutions.