Google Cloud x Mantel Group Financial Crime & AML Morning Briefing

The Brief:

Google and Mantel Group, as part of the launch of a new AI product, aimed to run a morning event for Financial Crime and AML Leaders. They desired a larger event comprising a combination of presentations and small-group roundtable discussions, targeting large buying teams from a select group of financial organisations.

The main topics they wanted to explore were:

• AI in Financial Crime and AML
• Navigating the AI Landscape: Risks and Challenges in Financial Crime Prevention
  

The Work:

We collaborated with Google and Mantel Group to deliver the breakfast event in Sydney at the Google Office.

The Outcome:

The event had 53 Financial Crime and AML Leaders (45% Heads of and above) from 24 organisations, with strong representation from the big 4 banks, as well as brands such as Macquarie Group, Tabcorp, and the Star Entertainment Group.

The event led to 14 meetings post-event and laid the groundwork for a new marketing strategy aimed at actively engaging this persona in the future.

Event in Review:

Topic 1: Financial Crime and AI, and AI-driven AML

This session explored AI's transformative impact on Financial Crime operations, highlighting how AI enhances detection accuracy, streamlines compliance, and reduces operational costs, marking a significant shift from traditional AML practices.

Items covered included:

• Recap of the current state of Financial Crime in Australia against AI use-cases, including real-time fraud detection and AML.
• Leveraging AI for advanced transaction monitoring and anomaly detection.
• The synergy between AI automation and human expertise in AML practices.
• Success stories demonstrating AI's impact on operational efficiency and compliance effectiveness.

Topic 2: Navigating the AI Landscape - Risks and Challenges in Financial Crime Prevention

This session delved into the complexities and challenges of integrating AI into financial crime prevention, providing a roadmap for navigating ethical, data privacy, integration, and regulatory challenges in implementing AI solutions.

Items covered included:

• Addressing ethical concerns and potential biases in AI algorithms.
• Strategies for ensuring data privacy and security in AI-powered systems.
• Overcoming integration hurdles with existing financial infrastructures.
• Understanding the evolving regulatory landscape related to AI in financial systems.
  

Attendee Testimonials:

“Very well organised. Had a great time!”

“A good event and it could have made it a 1-day event to get really deep into some topics as there is a lot to cover in AI and I feel like we just touched the surface.”