Webinar
4.24.2026

Move beyond concepts. See how agentic AI is already reshaping compliance operations.

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.

Speakers

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.

What you’ll see in this session

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:

  • What Always-on Compliance means in operational terms and why it is becoming essential
  • How agentic AI differs from copilots and traditional automation
  • How banks can reduce the time from regulatory change to implementation from months to near real-time
  • How AI agents can orchestrate end-to-end investigation workflows, from alert triage to SAR drafting
  • What a human-in-the-loop model looks like in practice and how it aligns with regulatory expectations
  • How to balance automation with governance, explainability, and auditability

Real-world impact: From hours to minutes

This session includes a walkthrough of a typical AML investigation process and how agentic AI transforms it:

  • Manual, fragmented workflows reduced by up to 60% in total investigation time
  • Automated data gathering, transaction analysis, and case summarization
  • AI-generated, regulator-ready suspicious activity reports
  • Investigators refocused on high-value risk analysis instead of manual tasks

The result is greater capacity, improved consistency, and stronger compliance outcomes.

A new compliance operating model

This is not just automation. It is a shift in how compliance functions operate:

  • From reactive to proactive
  • From point-in-time controls to continuous monitoring
  • From process-heavy workflows to intelligence-led decisioning

Agentic AI enables institutions to unify data, detection, and investigation into a single, adaptive system, improving both risk management and customer experience

Built for regulated environments

The session also addresses the realities of deploying AI in financial services:

  • Regulatory expectations around transparency, model risk management, and data governance
  • The importance of human oversight and explainability
  • How to implement AI safely through controlled adoption and testing frameworks

Watch now

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.

Access the webinar on demand.

Related resources

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

FinCrime Frontier Report – 2025/26

Symphony Risk Intelligence

https://www.youtube.com/watch?v=_5emzJM2IdA

Discover Symphony Risk Intelligence

The AI-native FinCrime platform designed to help financial institutions move from reactive to proactive risk management.

Re-Engineering the Risk-Based Approach webinar FAQs
What is agentic AI and how is it different from copilots or traditional automation?

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.

What does Always-on Compliance mean in practice?

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.

How do you ensure explainability and regulatory compliance when using AI?

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.

What kinds of efficiency gains can banks realistically expect?

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.

How can banks start adopting agentic AI without taking on excessive risk?

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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