.png)
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.
Our Thought Leadership Guides
Q4 2025 FinCrime Landscape Report | Philippines
The Q4 2025 Philippines Financial Crime Landscape Report highlights a marked shift in how corruption-linked financial crime manifests across the country’s public-works and infrastructure sector.
Rather than isolated cases of tender manipulation or inflated billing, financial crime observed during the quarter reflects systemically embedded practices that begin upstream, at the budget formulation and appropriation stage, before flowing through complex procurement, subcontracting, and payment networks. These patterns increasingly resemble legitimate infrastructure activity, making detection significantly more challenging for financial institutions.
Insights in this report are derived from analysis conducted through the AFC Ecosystem in collaboration with ABCOMP, reflecting real-world observations shared by compliance professionals operating across the Philippine banking sector.
Q3 2025 FinCrime Landscape Report | Australia
The Q3 2025 FinCrime Landscape Report: Australia analyses how emerging technologies and real-time payment systems are redefining financial crime risks. Developed in collaboration with experts from the AFC Ecosystem, the report highlights two dominant threats — deepfake-enabled scams and account takeover (ATO) fraud — and their evolution into full-fledged laundering pipelines. It provides detailed scenarios, transaction-level red flags, and actionable recommendations to help financial institutions strengthen their defences and detect fraud with greater accuracy and speed.
Q2 2025 FinCrime Landscape Report | Australia
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.
.png)
Q4 2025 FinCrime Landscape Report | Philippines
The Q4 2025 Philippines Financial Crime Landscape Report highlights a marked shift in how corruption-linked financial crime manifests across the country’s public-works and infrastructure sector.
Rather than isolated cases of tender manipulation or inflated billing, financial crime observed during the quarter reflects systemically embedded practices that begin upstream, at the budget formulation and appropriation stage, before flowing through complex procurement, subcontracting, and payment networks. These patterns increasingly resemble legitimate infrastructure activity, making detection significantly more challenging for financial institutions.
Insights in this report are derived from analysis conducted through the AFC Ecosystem in collaboration with ABCOMP, reflecting real-world observations shared by compliance professionals operating across the Philippine banking sector.
Q3 2025 FinCrime Landscape Report | Australia
The Q3 2025 FinCrime Landscape Report: Australia analyses how emerging technologies and real-time payment systems are redefining financial crime risks. Developed in collaboration with experts from the AFC Ecosystem, the report highlights two dominant threats — deepfake-enabled scams and account takeover (ATO) fraud — and their evolution into full-fledged laundering pipelines. It provides detailed scenarios, transaction-level red flags, and actionable recommendations to help financial institutions strengthen their defences and detect fraud with greater accuracy and speed.
Q2 2025 FinCrime Landscape Report | Australia
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.