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Modernising Financial Crime Prevention with Large Language Models
When we talk to banks and fintechs, one topic often stands out: the fight against complex financial crime. The interest in adopting cutting-edge technology like Large Language Models (LLMs) is palpable. They promise transformative capabilities—from reducing false positives to understanding complex patterns that evade traditional systems. It’s tempting to believe that simply deploying this technology will solve everything.The journey to better AML compliance doesn’t stop with new technology. It’s about matching that technology with a clear plan. LLMs, when used thoughtfully and strategically, have the potential to revolutionise financial crime compliance. But it requires more than just enthusiasm—it demands a deep understanding, careful planning, and a commitment to change.This whitepaper is your roadmap to making that change. Please fill in your details to download the whitepaper.
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Our Thought Leadership Guides
Q2 2025 Financial Crime Landscape Report: Australia & New Zealand Copy
Explore key insights from the Q2 2025 Australia Financial Crime Landscape Report, compiled by the AFC Ecosystem. This exclusive industry report reveals the top financial crime threats—including investment scams and real-time payment laundering—and how regional banks and fintechs are responding. Learn how Tookitaki’s AI-powered compliance platform helps financial institutions stay ahead of emerging risks, reduce false positives, and meet rising regulatory expectations in Australia and New Zealand.
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Q1 2025 Financial Crime Landscape Report: Australia & New Zealand
Explore key insights from the Q1 2025 Australia Financial Crime Landscape Report, compiled by the AFC Ecosystem. This exclusive industry report reveals the top financial crime threats—including investment scams and real-time payment laundering—and how regional banks and fintechs are responding. Learn how Tookitaki’s AI-powered compliance platform helps financial institutions stay ahead of emerging risks, reduce false positives, and meet rising regulatory expectations in Australia and New Zealand.
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Powering the Next-Gen of AML Technology with AI
This Tookitaki report elucidates how our solution complements the existing rules-driven primary system for easy operationalisation.Download our whitepaper to understand:The challenges arising from incremental adjustments to existing systems and current alerts management processesThe criticality of smart alert management to augment efficiency and effectiveness in AML processesThe framework to operationalize an AI-driven transaction monitoring solution into existing financial crime prevention ecosystemsUse cases to validate the productivity gains and returns FIs have garnered when the solution was deployed in productionThe example of a Tier-1 bank that saved over US$1 million through enhanced productivity in the alert management process.
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Q2 2025 Financial Crime Landscape Report: Australia & New Zealand Copy
Explore key insights from the Q2 2025 Australia Financial Crime Landscape Report, compiled by the AFC Ecosystem. This exclusive industry report reveals the top financial crime threats—including investment scams and real-time payment laundering—and how regional banks and fintechs are responding. Learn how Tookitaki’s AI-powered compliance platform helps financial institutions stay ahead of emerging risks, reduce false positives, and meet rising regulatory expectations in Australia and New Zealand.
Q1 2025 Financial Crime Landscape Report: Australia & New Zealand
Explore key insights from the Q1 2025 Australia Financial Crime Landscape Report, compiled by the AFC Ecosystem. This exclusive industry report reveals the top financial crime threats—including investment scams and real-time payment laundering—and how regional banks and fintechs are responding. Learn how Tookitaki’s AI-powered compliance platform helps financial institutions stay ahead of emerging risks, reduce false positives, and meet rising regulatory expectations in Australia and New Zealand.
Powering the Next-Gen of AML Technology with AI
This Tookitaki report elucidates how our solution complements the existing rules-driven primary system for easy operationalisation.Download our whitepaper to understand:The challenges arising from incremental adjustments to existing systems and current alerts management processesThe criticality of smart alert management to augment efficiency and effectiveness in AML processesThe framework to operationalize an AI-driven transaction monitoring solution into existing financial crime prevention ecosystemsUse cases to validate the productivity gains and returns FIs have garnered when the solution was deployed in productionThe example of a Tier-1 bank that saved over US$1 million through enhanced productivity in the alert management process.