Sumsub has introduced a significant AI-powered update to its Case Management system.
This enhanced solution serves as a comprehensive hub for financial crime investigations and is designed to streamline fragmented risk operations.
Developed with input from financial crime teams and Sumsub’s existing clients, the update incorporates AI tools and automation features intended to support real-time decision-making.
The updated Case Management system offers a unified workspace for cross-functional teams.
It brings together identity information, payment histories, risk scores, and internal audit notes into a single interface, aiming to simplify complex investigative processes.
A notable addition is Summy, Sumsub’s AI assistant.
Summy provides case summaries and recommends actions for teams working in risk, compliance, and fraud.
It offers full case context, including user background, transaction history, and behavioural insights, while suggesting informed next steps to assist with quicker and more accurate decisions.
This Case Management feature is integrated across Sumsub’s identity verification, anti-fraud, and anti-money laundering solutions, and is available for immediate deployment without requiring complicated setup procedures.
The launch comes at a time when financial crime teams are facing more sophisticated threats.
The global average fraud rate has increased by 30% year-on-year, from 2.0% in 2024 to 2.6% in 2025.
This rise is attributed to the growing use of deepfakes, fraud-as-a-service operations, and fast-changing fraud typologies.
In response, investigation teams are under pressure to work more quickly, intelligently, and collaboratively.
In addition to Summy, the updated Case Management solution includes several AI-driven features designed to support financial crime investigations.
It introduces pre-built and customisable workflow templates, known as “Case Blueprints”, which can be implemented immediately to streamline operations.
The system also provides unified access to applicant data, documentation, anti-money laundering (AML) flags, and payment records, helping to break down data silos and accelerate investigative work.
Custom case views and role-based access controls allow organisations to tailor data visibility and manage access to sensitive information efficiently.
This flexibility also makes it easier to reassign responsibilities among team members as needed.
Furthermore, the solution offers real-time risk updates, ensuring that each decision reflects the most recent user behaviours and transaction patterns.
Another key feature is Fraud Network Detection, which uses AI to uncover hidden connections between suspicious users and behavioural patterns, aiding in the identification of coordinated fraudulent activity.
“Fragmentation is one of the biggest threats in modern risk management,”
said Andrew Novoselsky, Chief Product Officer at Sumsub.
“With the rise of deepfakes and complex fraud schemes, teams can’t afford to work in silos. That’s why we built a platform that’s not just unified, but smart, where AI like Summy supports every step of the investigation. This is a leap forward in making compliance faster, clearer, and more effective.”
The updated system has been thoroughly tested by Sumsub’s Quality Control Team and is based on research into the challenges faced by financial crime teams.
Insights were also drawn from meetings with the company’s Customer Advisory Board.
The solution aims to make investigations faster, more transparent, and easier to manage for professionals working in fraud and risk.
Featured image credit: Sumsub
