What’s the new FOCAL platform products you’re announcing?
We’re introducing two products within our FOCAL platform here at Seamless Middle East; Agentic AI for AML and Fraud investigation and the Financial Crime Analytics to allow financial institutions to connect different enterprise systems through one centralized, intelligent view for seamless financial crime preventions. These aren’t just new additions to the platform, they’re a leap forward in how financial institutions can fight fraud and meet compliance obligations more intelligently.
The introduction of Agentic AI in FOCAL brings a new level of capability to investigations. It elevates the platform to become a virtual investigator that doesn’t just process data, it actively assists compliance and risk teams by surfacing connections, anomalies, and recommendations in real time. Meanwhile, the Financial Crime Analytics module uses AI and data science to unify data from across financial crime systems, giving institutions a single, intelligent view that improves risk detection, investigation speed, and overall accuracy.
What key compliance and risk challenges does it solve?
We’re at a pivotal moment in the industry where AI is both a challenge and a solution. On one hand, bad actors are using AI to scale and refine fraud tactics at an unprecedented pace, making threats more adaptive, more targeted, and far harder to detect using legacy solutions. On the other hand, financial institutions are under mounting pressure to adopt AI responsibly ensuring transparency, governance, and alignment with increasingly complex regulatory demands.
These dual pressures have exposed critical gaps in compliance workflows, from fragmented systems to slow, manual investigations. At the same time, when applied correctly, AI is becoming an essential enabler, empowering institutions to analyze massive datasets, detect risk in real time, and act with greater speed and accuracy. That’s exactly why we introduced Agentic AI and Financial Crime Analytics within FOCAL, to help institutions move from fragmented, reactive processes to unified, intelligent systems that can keep pace with modern financial crime.
How does FOCAL use AI to support financial institutions more effectively?
AI has been central to FOCAL from the very beginning. We use it to enhance every stage of the fraud prevention and compliance process. By leveraging machine learning, FOCAL continuously adapts to evolving fraud patterns and regulatory changes, helping institutions stay one step ahead. These technologies also help reduce false positives, improve investigative accuracy, and ensure that compliance teams can respond to risk with speed, confidence, and precision.
What sets Mozn’s AI apart, especially after winning Best AI Use in Regulatory Compliance?
What sets Mozn apart is our focus on building AI that’s purpose-driven, explainable, and deeply aligned with real-world needs, especially in fraud prevention and AML compliance. We don’t take a one-size-fits-all approach. Our models are trained on regionally relevant data, designed for regulatory clarity, and built to integrate seamlessly into enterprise environments.
Winning Best AI Use in Regulatory Compliance is a strong validation of the work we’ve done to create AI that empowers institutions to act smarter, faster, and with more confidence. We place a strong emphasis on transparency, model interpretability, and ethical deployment, because in financial services, trust and accountability are critical.
What’s your vision for AI in compliance over the next few years?
Over the next few years – AI, particularly Agentic AI will redefine the compliance landscape by transforming static rule-based systems into dynamic, goal-driven agents capable of continuous learning, contextual understanding, and proactive decision-making. Instead of merely flagging suspicious activity, compliance agents will interpret risk in real-time, adapt to evolving threats, and collaborate with humans to recommend or even take next-best actions across fraud, AML, sanctions, and regulatory reporting. These agents won’t operate in silos, they’ll intelligently coordinate across functions like onboarding, KYC, transaction monitoring, and audit, continuously optimizing policies based on feedback loops, performance data, and regulatory updates.
This shift will result in autonomous investigations that prioritize and summarize cases, detect hidden patterns, and surface key insights for faster decision-making. It will also enable embedded regulatory reasoning, where agents understand laws, interpret applicability, and recommend compliance measures tailored to each institution’s context. Compliance operations will become increasingly scalable, with AI agents acting as assistants, auditors, and analysts – ensuring accuracy, speed, and auditability even under growing regulatory pressure. Ultimately, AI will enable compliance teams to move from reactive policing to intelligent prevention, empowering them to stay ahead of risk, not just respond to it.
