https://www.youtube.com/watch?v=cUq_w5M2SUo
Banks today face a fundamental challenge. Financial crime is continuous, but compliance operations remain fragmented, manual, and reactive. Regulatory change takes months to operationalize. Investigations are time-intensive. And valuable resources are tied up in process, not risk.
This on-demand webinar explores a new operating model: Always-on Compliance.
Powered by agentic AI, this approach enables financial institutions to move from episodic control frameworks to continuous, real-time risk management, where detection, investigation, and decisioning are seamlessly connected.
Craig Robertson
FinCrime & Compliance SME, SymphonyAI
Craig brings over 20 years of experience in financial crime prevention, including leadership roles in banking, regulatory collaboration, and law enforcement across multiple jurisdictions.
Jordan Hoo
Solutions Consultant, SymphonyAI
Jordan specializes in AI-driven compliance transformation, with deep experience delivering large-scale AI and risk solutions for global financial institutions.
In this practical session, SymphonyAI experts move beyond theory to demonstrate how agentic AI is being applied in real-world compliance workflows today.
You’ll learn:
This session includes a walkthrough of a typical AML investigation process and how agentic AI transforms it:
The result is greater capacity, improved consistency, and stronger compliance outcomes.
This is not just automation. It is a shift in how compliance functions operate:
Agentic AI enables institutions to unify data, detection, and investigation into a single, adaptive system, improving both risk management and customer experience
The session also addresses the realities of deploying AI in financial services:
This session is designed for leaders across financal crime compliance, risk and governance, operations and transformation, and technology and data.
Watch the webinar today and discover how to move from theory to action and build a compliance function that is faster, smarter, and always on.
During the webinar, attendees submitted questions covering data security, AI training, system integration, deployment architecture, and the product roadmap. Download the Q&A.
How AI Agents reduce AML investigation time by 60% – A supporting blog for this webinar
Re-engineering the Risk-based Approach with Agentic AI
Whitepaper: The New Financial Crime Ecosystem
Going beyond continuous compliance with Always-on Compliance
Modernizing Compliance without Disrupting the Business: The Always-on Compliance approach
https://www.youtube.com/watch?v=_5emzJM2IdA
The AI-native FinCrime platform designed to help financial institutions move from reactive to proactive risk management.
Agentic AI goes beyond assisting users with prompts. It can reason, take action, and orchestrate multi-step workflows independently within defined controls. Unlike copilots, which support tasks, agentic systems can execute parts of compliance processes end-to-end while maintaining full auditability and human oversight.
Always-on Compliance is a shift from periodic, reactive processes to continuous monitoring, decisioning, and adaptation. It enables institutions to respond to regulatory changes and emerging threats in near real-time, rather than over weeks or months, while maintaining full transparency and control.
Agentic AI systems are designed with built-in governance, including clear audit trails, explainable outputs, and human-in-the-loop controls. Every action taken by an AI agent can be traced, justified, and reviewed, ensuring alignment with regulatory expectations around transparency and accountability.
In areas like AML investigations, agentic AI can significantly reduce manual effort by automating data gathering, analysis, and reporting. This can lead to substantial reductions in investigation time, while improving consistency and allowing teams to focus on higher-value risk analysis.
The most effective approach is to start controlled and scale fast. Begin with targeted use cases such as investigations or onboarding, deploy AI within clear governance frameworks, and expand as confidence grows. This ensures institutions capture value early while maintaining regulatory trust and operational control.
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