Greenlite builds AI workers for bank and fintech compliance teams. Innovative teams use our AI workers instead of outsourced teams to onboard customers faster with higher compliance standards.
Will led product for Facebook's anti-money laundering (AML) platform, combatting financial crimes across payment, gaming and e-commerce use cases. He also built core compliance infrastructure at Paxos, a growth-staged fintech that powers over 10M crypto wallets globally. He's now Co-founder and CEO of Greenlite, helping fintechs scale financial crime operations with AI.
TL;DR
Greenlite helps fintechs unlock growth with an AI compliance team.
Our workforce of AI agents tirelessly handle routine AML and KYC tasks, allowing your team to focus on higher-leverage work.
If you’re a fintech or compliance leader, get in touch at founders@greenlite.ai.
Fintech compliance teams spend millions of dollars on manual anti-money laundering (AML) and know-your-customer (KYC) reviews. To support customer growth, fintechs turn to outsourced analysts or consultants to complete these reviews. The workflows assigned to outsourced teams are routine, clearly-defined and require risk-based decisions to be escalated to a full-time employee (FTE).
Managing outsourced analysts is painful and expensive. Training takes months, quality assurance is a challenge and any additional tooling/automation needs to be built by your internal engineering teams.
Critically, the productivity of these AML teams are low. McKinsey estimated that as little as 15% of an AML investigator’s time is spent actually investigating. Manual processes, administrative tasks and limited working hours leave backlogs to grow, increasing risks of a major fine.
Greenlite’s AI agents learn your alert review process and work 24/7 to complete entry-level KYC and AML tasks.
They pair language models and 200+ data sources to action false positives, investigate high-risk customers and create audit-ready narratives.
Suspicious activity is escalated to your FTEs, allowing you to be in control of risk based decisions.
Greenlite supports three agent archetypes (with more to come). Each one can learn your company’s specific workflows to handle routine cases.
Upload your workflow policy, define the data sources that are needed for this job and determine the fuzziness threshold you’re comfortable with.
Agents will escalate cases that require a risk based decision. Importantly, your FTEs get an enriched case, complete with entity investigation details, data analysis and open-source intelligence to make high quality decisions more efficiently.
Schedule a demo here to see how Greenlite can help you scale your compliance operations with AI instead of outsourced teams.
Will led product teams working on Facebook's anti-money laundering (AML) platform, combating financial crimes across payment, gaming and e-commerce use cases. He also built core compliance infrastructure at Paxos, a growth-staged fintech that powers over 10M crypto wallets globally.
Alex was an engineer and product manager at Dropbox. He was the first employee at Flixed where he led product development and built a programmatic content engine.
Together, we’re excited to help fintech compliance teams unlock unprecedented growth with AI.
We’re happy to help fintech compliance teams define their AI strategy. Get in touch at founders@greenlite.ai.