The growing scale and speed of financial transactions, combined with increasingly sophisticated criminal networks, has placed unprecedented pressure on anti-money laundering (AML) teams.
Traditional rules-based systems and manual investigative workflows are no longer sufficient for identifying risks quickly or accurately. As regulators tighten expectations and financial institutions seek efficiency gains, agentic artificial intelligence (AI) is emerging as a critical evolution for modern AML operations.
SymphonyAI, which offers AI tools to detect threats early, recently delved into the power of agentic AI in AML operations.
Agentic AI represents a major shift from earlier generations of automation. Rather than simply completing predefined tasks or responding to prompts, agentic AI deploys autonomous agents capable of performing multi-step investigative activities from start to finish. SymphonyAI’s Sensa Risk Intelligence (SRI) platform is aiding this transition, providing cloud-native Sensa Agents that automate case enrichment, reduce manual workloads, and improve investigative precision.
These agents come in two key forms: copilots that support human investigators, and autonomous agents that execute complex workflows independently. Sensa Agents can summarise cases, merge internal data sources, draft suspicious activity reports (SARs), and carry out extensive online research without requiring constant human intervention. Despite this level of automation, they operate within strict governance frameworks, allowing institutions to maintain full transparency and oversight.
One of the most compelling advantages of agentic AI is its impact on productivity. Investigators typically spend large portions of their day gathering data, performing repetitive checks, and drafting narratives. Sensa Agents—such as the Summary Agent, Narrative Agent, and Web Research Agent—compress hours of administrative effort into minutes. This ensures analysts can spend more time assessing risk rather than completing routine tasks.
Accuracy is another major gain. Agentic AI reduces false positives by analysing multiple signals simultaneously, cross-validating information before escalating alerts. This leads to more meaningful alerts and higher-quality SAR submissions, while significantly easing operational pressure.
Continuous learning also sets agentic AI apart. Each agent improves through human-in-the-loop feedback, allowing AML functions to remain aligned with evolving typologies and regulatory demands. This adaptability ensures a proactive posture, enabling institutions to adjust quickly to new threats.
With Sensa Risk Intelligence and its expanding library of agentic capabilities, financial institutions can expect faster investigations, reduced workloads, better data-driven insight, and greater regulatory confidence—bringing AML into a more modern, resilient era.
For more insights, read the full story here.
Read the daily FinTech news
Copyright © 2025 FinTech Global
Copyright © 2018 RegTech Analyst
