SymphonyAI has unveiled its pioneering Sensa Agents, a suite of agentic AI tools built to transform how financial institutions investigate and manage financial crime.
These autonomous agents are designed to automate time-consuming manual tasks such as summarising investigations, generating Suspicious Activity Reports (SARs), and performing web research.
With financial crime growing in both complexity and volume, banks and regulators are facing mounting challenges. From fraud and money laundering to human trafficking and terrorist financing, the stakes are high. Investigation teams are under pressure to keep up with real-time data, evolving regulations, and increased operational demand—often without the necessary resources. According to recent insights, over 70% of financial leaders expect financial crime to rise in 2025.
Despite these mounting pressures, AI is starting to turn the tide. SymphonyAI’s Sensa Agents push this progress even further. Unlike traditional AI copilots that assist with specific tasks, agentic AI can independently plan, decide, and collaborate to execute complex workflows. These agents learn from each task and can interact with each other to deliver more seamless and efficient results. Crucially, human oversight remains embedded at all stages to ensure transparency and compliance.
The advantages of autonomous AI agents are broad. They enhance efficiency by analysing massive data sets and uncovering hidden risks, all while improving accuracy and consistency. AI agents also reduce false positives, free up human investigators for more strategic work, and provide a high return on investment through SaaS-based deployment that avoids the need for expensive infrastructure, Symphony AI explained.
SymphonyAI has launched three agents to start with: the Sensa Summary Agent, Narrative Agent, and Web Research Agent. Each tool plays a distinct role—delivering real-time insights, drafting consistent SAR narratives, and conducting automated open-source intelligence gathering. They are designed to be used in concert, forming a connected AI ecosystem to modernise financial crime operations.
Each Sensa Agent is fully customisable and operates within a secure and auditable framework. Institutions can personalise the agents based on internal policies and processes, integrate them via APIs and webhooks, and retain complete control over their actions. Sensa Agents are explainable, transparent, and governed by robust model oversight that includes human-in-the-loop controls where needed.
These agents are trained using foundation models, instruction tuning, reinforcement learning, and goal-oriented planning, it said. They are pre-trained on financial crime typologies and are then adapted to each client’s unique procedures and risk appetite. As they operate, they continuously improve through user feedback and self-learning.
The three initial agents bring distinct benefits. The Sensa Summary Agent provides clear contextual overviews of KYC data, account history, and risk profiles. The Narrative Agent generates fully composed SAR narratives including all supporting documentation. The Web Research Agent performs comprehensive, source-verified background checks from both internal and external data sources.
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