Banks face a persistent tension at the heart of modern compliance: financial crime never stops, yet the systems built to combat it remain largely fragmented, manual, and reactive.
Operationalising regulatory change can take months, investigations are time-consuming, and skilled staff are too often tied up in administrative process rather than genuine risk assessment.
SymphonyAI’s on-demand webinar, ‘From Theory to Action: AI Agents Transforming Financial Crime Compliance in Real-Time’, tackles this challenge head-on by introducing an “always-on compliance” operating model powered by agentic AI.
Rather than responding to risk at discrete points in time, the approach enables continuous, real-time detection, investigation, and decisioning within a single adaptive system.
The session is led by SymphonyAI FinCrime and compliance SME Craig Robertson, who brings more than 20 years of experience across banking, regulatory collaboration, and law enforcement, alongside SymphonyAI solutions consultant Jordan Hoo, who specialises in large-scale AI and risk solutions for global financial institutions.
A key highlight is the demonstrated real-world impact. Agentic AI can reduce total investigation time by up to 60%, automating data gathering, transaction analysis, and case summarisation, while generating regulator-ready suspicious activity reports. Investigators are freed to focus on high-value risk analysis rather than manual tasks.
The webinar also addresses governance head-on, covering regulatory expectations around transparency, model risk management, and human oversight.
For more insights, watch the webinar here.
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