Google Cloud x Mantel Group Financial Crime & AML Morning Briefing
Google, Mantel Group, and Clutch ran a Sydney Financial Crime and Anti-Money Laundering (AML) leader roundtable focused on incorporating AI into AML operations.

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.”