Powered by AI and code-free orchestration, Sumsub’s solution transforms complex AML compliance into a streamlined operational advantage.
Sumsub today announced that Chartis Research has named its Anti-Money Laundering (AML) Screening solution a Category Leader in the Chartis RiskTech Quadrant for Name and Transaction Screening Solutions, 2026. The recognition highlights Sumsub’s intelligent matching framework, flexible architecture, and code-free workflow orchestration.
Across global markets, compliance teams face mounting pressure to navigate heightened regulatory scrutiny and accelerating transaction speeds without creating operational bottlenecks. Traditional, rule-based screening tools frequently trigger massive volumes of false positives, driving up operational costs and causing severe alert fatigue for risk teams. Evaluating vendors on their ability to solve these persistent industry challenges, Chartis highlighted Sumsub’s advanced screening architecture and workflow flexibility.
"In our 2026 Watchlist Monitoring quadrants, Sumsub’s recognition as a Category Leader for Name and Transaction Screening reflects several key features of its solution: a flexible matching framework with AI capabilities for network and clustering analysis, natural language rule building, an AI copilot, and large language model-based screening analysis," said Sean O’Malley, Research Director at Chartis. "The solution also offers AI-powered contextual and analytical checks to differentiate true matches from false positives, while Workflow Builder provides comprehensive orchestration, enabling users to build visual verification flows code-free."
Streamlining AML Across the Customer Lifecycle
Sumsub’s platform addresses these core operational friction points by bringing watchlists, PEPs, sanctions screening, and adverse media into a single unified workspace. Key capabilities include:
- Reduction in Manual Effort & Operational Costs: By leveraging AI-powered context notes and Large Language Model (LLM) analysis, the platform filters out false positives so risk teams can focus on true threats.
- Increased Investigation Efficiency: Features such as AI-assisted AML match analysis and an integrated AI copilot streamline case review times and accelerate decision-making for compliance analysts.
- Full Control & Adaptivity: Sumsub AML Screening's Resolution Rules allow compliance and operations teams to design, modify, and deploy custom verification and screening flows visually without developer resources.
- AML Coverage Beyond Onboarding: Rather than limiting checks to initial sign-ups, the platform provides continuous watchlist monitoring and screening checks to capture evolving risk post-onboarding.
- Streamlined Compliance Maintenance: Automated auditable records of screening results and decisioning enable organizations to remain aligned with evolving global AML standards with minimal administrative friction.
By unifying these capabilities into an adaptive, end-to-end framework, Sumsub enables compliance teams to shift from reactive alert processing to proactive risk management.
“Compliance teams operate in an environment where speed and accuracy are non-negotiable, yet legacy systems continue to flood them with noise,” said Andrew Sever, Co-founder and CEO of Sumsub. “Our goal has always been to build a flexible, AI-driven screening engine that cuts manual overhead while extending protection across the entire customer lifecycle – where Sumsub data shows 76% of financial crime actually occurs. This recognition from Chartis validates our commitment to making complex AML operations both highly efficient and future-proof.”
To learn more about Sumsub’s AI-powered AML Screening solution, visit https://sumsub.com/aml-screening/.
