Agentic AI automation, a new wave of AI-powered technology, is attracting significant interest across the tech sector—particularly in financial services. But what exactly does it mean, and how can it be used to tackle financial crime more effectively?
Eric Murray, director – product, generative AI at SymphonyAI’s financial services division, provides an in-depth perspective on the potential of agentic process automation (APA) in a new Q&A. He discusses how this technology differs from previous forms of AI automation, its applications in anti-money laundering (AML) compliance, and the guardrails needed to ensure responsible development.
The Q&A covers what APA is and the role it will play in the future of AML compliance, the difference between APA and robotic process automation (RPA), the guardrails that must be implemented when developing autonomous agents and how agentic automation differs from other AI-driven automation technologies in terms of scalability and adaptability.
Other areas covered include the role of machine learning in enhancing the capabilities of autonomous agents, how to handle the data required for this, and how to measure the success of an autonomous agent.
The Q&A serves as a valuable resource for finance professionals seeking to understand the growing influence of agentic automation. It offers practical insights into how this emerging form of AI could reshape compliance strategies and operational efficiency across financial institutions.
Read the full Q&A here.
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