Banks are grappling with a fundamental tension at the heart of modern compliance: financial crime never stops, yet the systems designed to combat it remain largely fragmented, manual, and reactive.
Operationalising regulatory change can take months, investigations consume significant investigator time, and skilled resources are too often absorbed by administrative process rather than genuine risk assessment.
SymphonyAI’s on-demand webinar, From Theory to Action, sets out to address this gap by introducing what the firm describes as an “always-on compliance” operating model.
The concept, powered by agentic AI, represents a significant departure from the episodic control frameworks that have long defined financial crime compliance. Rather than responding to risk at discrete points in time, the model is designed to enable continuous, real-time risk management in which detection, investigation, and decisioning are tightly connected within a single adaptive system.
The session is led by two SymphonyAI specialists. SymphonyAI FinCrime and compliance SME Craig Robertson brings more than two decades of experience in financial crime prevention, spanning leadership positions in banking, regulatory collaboration, and law enforcement across multiple jurisdictions.
He is joined by SymphonyAI solutions consultant Jordan Hoo, who specialises in AI-driven compliance transformation and has extensive experience delivering large-scale AI and risk solutions for global financial institutions.
Rather than remaining at a theoretical level, the webinar walks attendees through how agentic AI is being applied within real-world compliance workflows today. A key distinction drawn throughout is the difference between agentic AI and more familiar tools such as copilots or traditional automation.
The practical impact demonstrated in the session is notable. Manual and fragmented workflows can be reduced by as much as 60% in total investigation time, with automated data gathering, transaction analysis, and case summarisation allowing investigators to redirect their focus towards high-value risk analysis. The result, SymphonyAI argues, is not merely greater efficiency but a measurable improvement in compliance consistency and outcomes.
The webinar also tackles one of the most pressing concerns for any institution considering AI adoption in a regulated environment: governance. The session addresses regulatory expectations around transparency, model risk management, and data governance, as well as the practical importance of human oversight and explainability. A human-in-the-loop model is presented not as a compromise but as a design principle, one that aligns with the expectations of regulators.
For more insights, watch the webinar here.
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