Solving crimes in the financial landscape: A Q&A with Tookitaki
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“REDEFINING financial crime compliance to make the world a better place.”
Following the company’s motto, Tookitaki’s initiative of breaking silos and providing a platform to collaborate and fight financial crime, the company expanded their business in the Philippine market to bring scalable and machine learning-powered product offerings to help financial institutions address money laundering risks.
Tookitaki (a Thunes company) is a regulatory technology company offering financial crime detection and prevention solutions to some of the world’s leading banks and fintech companies to help them transform their anti-money laundering (AML) and compliance technology needs.
Founded in November 2014, the company employs over 100 people across the US, the UK, Singapore, Taiwan, Indonesia, the Philippines, and the UAE.
To know more about Tookitaki and its approach in providing end-to-end financial crime solutions to some of the world’s leading financial institutions, BusinessWorld reached out to Tookitaki’s Chief Executive Officer and founder Abhishek Chatterjee to share his thoughts and insights. Below is the excerpt of the interview:
Please introduce us to Tookitaki. What are your visions and goals?
Mr. Chatterjee: Headquartered in Singapore, Tookitaki provides end-to-end financial crime solutions to some of the world’s leading financial institutions. In the ASEAN region, some of the largest banks and fintech companies rely on Tookitaki to transform their AML compliance needs. Tookitaki was founded in November 2014 and employs over 100 employees across our offices in Asia, Europe, and the US.
Fighting financial crime needs to be a collective effort through centralized intelligence-gathering. Aimed at breaking silos, the AFC (anti-financial crime) Ecosystem, includes a network of experts and provides a platform for the experts to create a knowledge base to share financial crime scenarios.
This collective intelligence is the ability of a large group of AFC experts to pool their knowledge, data, and skills to tackle complex problems related to financial crime and pursue innovative ideas.
The AFC ecosystem is a game changer since it helps remove the information vacuum created by siloed operations. Our network of experts includes risk advisers, legal firms, AFC specialists, consultancies, and financial institutions from across the globe.
Tookitaki’s AML Suite (AMLS) is an operating system comprising four modules, such as transaction monitoring, smart screening, customer risk scoring, and the Case Manager, under one roof to address our customers’ compliance requirements. It provides holistic risk coverage, sharper detection, and significantly fewer false alerts. It can be deployed in multiple environments including the public cloud, private cloud, and data center.
The AFC Ecosystem and the AMLS work in tandem and help our stakeholders widen their view of risk from an internal one to an industry-wide one across organizations and borders. Moreover, they can do so without compromising privacy and security.
Tookitaki means to hide and seek in Bengali. The name perfectly articulates our intention to uncover the hide-and-seek nature of financial crime with artificial intelligence.
Today, Tookitaki (A Thunes company) is leading AML initiatives in most of the key digital banks in Asia. One of the largest digital banks in the Philippines, one of the world’s largest fintech and payment companies headquartered in China, one of Asia’s largest digital banks based out of Singapore, and one of the fastest-growing crypto wallets based out of Asia.
Tookitaki’s innovations in regulatory compliance have been acknowledged worldwide. Chartis Research named the company a Rising Star in its 2021 RiskTech 100 report. In 2020, the company won the Regulation Asia Awards for Excellence and G20TechSprint accelerator. In 2019, the company was featured in the World Economic Forum’s Technology Pioneer List.
What products and services do you plan to offer in the local market, and how would you differentiate Tookitaki from other vendors providing AML compliance solutions? What makes it “innovative” in addressing a regulatory or market need?
Mr. Chatterjee: At Tookitaki, we have always believed that technology is for the greater good. The AFC Ecosystem is a community-driven first of its kind initiative aimed at breaking silos and providing a platform to collaborate and fight financial crime. The AFC Ecosystem’s single motto is to break silos and provide a platform where AFC experts across the globe can use their knowledge and expertise to build a safer society.
The AFC Ecosystem is a game changer since it helps remove the information vacuum created by siloed operations. Our network of experts includes risk advisers, legal firms, AFC specialists, consultancies, and financial institutions from across the globe.
Underpinning it is a valued partnership program that is mutually beneficial for all stakeholders engaged in reducing the laundering of illicit proceeds of crime and terrorism.
Tookitaki’s offerings in the Philippines primarily include the AFC Ecosystem and the AMLS.
Our community comprises of experts covering the entire spectrum of money laundering: placement, layering, and integration. They include Financial Crime Compliance (FCC), law enforcement, and nongovernment organizations to name a few who are all giants in their own right. With this diverse community approach, financial institutions, who are the first line of defense, are empowered to identify “dirty money” patterns that aren’t easily discoverable. Operationalizing this collective intelligence results in the creation of more comprehensive risk policies.
Tookitaki’s AMLS covers the entire customer onboarding and ongoing processes through its transaction monitoring, smart screening, customer risk scoring, and the case manager. Together they provide holistic risk coverage, sharper detection, and significant effort reduction in managing false alerts. It is uniquely designed to complement existing systems by cutting through the noise and clutter generated by large volumes of alerts in legacy transaction monitoring processes.
For our customers like traditional banks and fintech companies, an extensive understanding of their consumers is a must for effective and comprehensive risk policies. The AMLS is a product that enables this through the combination of its Intelligent Alert Detection (IAD) for detection and prevention along with its Smart Alert Management (SAM) for Management.
With technology touching every facet of society, money mules and fraudulent accounts are a growing problem that needs to be addressed to assist in the country’s efforts to prevent financial crime, notably in the government sector. Tookitaki aims to improve the honesty of the Philippines’ financial market by providing comprehensive AML compliance programs for fintech companies, which include payment service providers, e-wallet providers, and virtual asset service providers.
Please elaborate more on Tookitaki’s Anti-Money Laundering Suite or AMLS and how it would apply to banks.
Mr. Chatterjee: Tookitaki’s AMLS covers the entire customer onboarding and ongoing processes through transaction monitoring, smart screening, customer risk scoring and the case manager. Together they provide holistic risk coverage, sharper detection, and significant effort reduction in managing false alerts. It is uniquely designed to complement existing systems by cutting through the noise and clutter generated by large volumes of alerts in legacy transaction monitoring processes.
As mentioned earlier, our AMLS has two main functionalities: IAD and SAM.
The SAM functionality of AMLS specifically helps banks with:
• management and filtering of false alerts
• ease of integration into their current process governance
• operational guidance from past learnings with other banks
Based on our previous customer case studies, we can say that when customers start using the SAM module, they can expect a RoI (return of investment) in approximately nine months and along with that we deliver a superior experience via:
Operational efficiency through alert prioritization
SAM across transaction monitoring and screening helps in automated triaging and helps categorize all alerts into three risk levels: L1 (Low risk), L2 (Moderate risk), and L3 (High risk).
Hence, as part of the alert handling/treatment process, there is no requirement for manual triaging since all alerts have been triaged by SAM into the aforementioned risk levels.
Faster time to market
SAM automatically builds a machine learning (ML) model that trains on customer data. The model result aligns with customer risk policy and data instead of a generic industry ML solution. The in-built Intelligent risk indicator framework automatically generates thousands of risk indicators (data science features) from input data.
An intelligent model learning framework then selects the most relevant risk indicators and chooses the right hyper-parameters to tune the model to achieve high accuracy at optimal compute cost. This is a fully automated process that requires minimal data science effort from the client team.
Continuous improvement
Through our Champion-Challenger which learns from investigator feedback and changing data, continuous improvement occurs systematically. It takes in incremental data, which includes new customers, accounts, transactions, and the latest investigator feedback, and provides consistent results through continuous learning.
Ease of integration into the current process governance
The module integrates seamlessly with the existing systems as well as the primary using standardized data models and ready adapters. Investigators can still use the existing workflow and click on the link to access alert information. This makes it easier to investigate and dispose of alerts faster.
Apart from AML solutions, what other financial crimes does Tookitaki solve?
Mr. Chatterjee: Tookitaki believes in giving back to society. We are on a mission to improve lives by tackling money laundering.
Crimes such as human trafficking, drug trafficking, illegal arms deals, and many more are tied to money laundering. Vulnerable people are being affected daily by this corruption. We offer resources, information, and a strong commitment to helping eliminate money laundering and related crimes.
We have worked closely with the survivors of human trafficking to understand the patterns of behavior around these heinous crimes and determine how we can help tackle them. Our work in this endeavor is driven by a responsibility to help make the world a safer place for everyone.
We believe in using technology for the greater good. We want to lead from the front, where crimes such as trafficking and terrorism can be eliminated via the prevention of financial crime.
What are the factors you considered in choosing the Philippines to launch an AML software tool?
Mr. Chatterjee: With the rise of technology, the world is slowly shifting to cashless transactions. According to a study from 2020-2025, cashless transactions are expected to increase by 80% and cross border payments will be valued at $156 trillion. This borderless transaction increases money laundering crimes and allows money launderers to hide in plain sight undetected.
In the Philippines, half of Filipinos own a financial account, as more Filipinos become part of the banking system, financial crimes will become more advanced. Financial institutions need to look beyond traditional tools to solve a sophisticated and growing problem to keep pace with increasing business and regulatory requirements.
The Philippines is in a strategic position because of its rising economy and being the center of international trade and traffic makes it vulnerable to a host of financial crimes and financial terrorism. Moreover, the growing number of money transfers sent by overseas Filipino workers to their loved ones adds to the responsibility of the AMLS.
Do you have data on cases of money laundering in the country?
Mr. Chatterjee: The Anti Money Laundering Report states that the country has always been vulnerable when it comes to money laundering and financial terrorism. It is vital that the country address the growing problem.
What we’ve noticed is that the political landscape in the Philippines is ever-changing. In 2000, the Philippines was placed under the Financial Action Task Force (FATF), falling under its list of Non-Cooperative Countries and Territories due to lack of basic AML frameworks.
The Philippine government enacted Republic Act (RA) 9160 of the Anti-Money Laundering Act of 2001, which preserved the integrity of bank accounts and ensured the Philippines does not become a haven for money laundering activities. As an added precaution, Philippine authorities will assist in transnational investigations to prosecute those found who are found guilty. Since then, in recent years, various laws have amended RA 9160 and various industries involving finances have been added to the existing laws as well as harsher sanctions for those found guilty of money laundering activities. Additional powers were also granted to the Anti-Money Laundering Council and other concerned persons.
The Philippines has returned to the “gray list” as of June 2021. The FATF has commended the country for its continuing efforts to eradicate the threats of money laundering and encourage the country to further strengthen its measures. And we as a trusted partner are pleased to assist the Philippine government with its goal of eradicating and eliminating financial terrorism, no country in the world should be a safe haven for criminals.
Financial institutions are inundated with voluminous false positives and case backlogs that add to costs and prevent them from filtering out high-quality alerts. How does your solution help address this problem?
Mr. Chatterjee: Tookitaki was a pioneer in identifying the use case of ML in AML compliance and our ideas came into reality with our historic partnership with the United Overseas Bank Ltd. (UOB) in Singapore.
In December 2020, we became the first in the Asia-Pacific region to deploy a complete AML solution leveraging ML in production concurrently in transaction monitoring and name screening.
The SAM functionality of AMLS specifically helped with management and filtering of false alerts that eliminated the need for manual triaging since all alerts get triaged by SAM as per categorized risk levels, such as low, medium, and high. Ease of integration into their current process governance thereby making it easier for the investigators to investigate and dispose of alerts faster.
As a result, UOB witnessed 70% reduction in false positives for individual names and 60% reduction in false positives for corporate names. The solution also helped with a 50% reduction in false positives with less than 1% misclassification and 5% increase in fileable suspicious activity reports.
This is yet another example of how Tookitaki sets new standards for the regulatory compliance industry’s fight against money laundering.
We have partnered with well-known fintech companies in the Philippines to assist local companies to stay on top of their compliance requirements and we hope to expand our partnership with even more fintech companies in the future.
What do you think are the biggest risks faced by banks being used for money laundering and how do you plan to mitigate or eliminate these risks?
Mr. Chatterjee: Banks need to have a holistic view of money laundering risks and the threat scape across various banking segments such as corporate, retail, and private. Existing static and granular rules-based approaches, which are oblivious to the holistic trend with a narrow and uni-dimensional focus, are not capable of doing the same. Existing rules-based systems produced a significant volume of false positives. These false leads are a drain on productivity as they take significant time and resources to be disposed of. In the AML compliance space, banks are wasting more $3.5 billion per year chasing false leads because of outdated AML systems that rely on stale rules and scenarios and generate millions of false positives, according to research.
Undoubtedly, using limited resources to close off non-material and unimportant alerts is manual and onerous, resulting in huge backlogs for both processes and missed/delayed suspicious activity report filings. Furthermore, the ballooning costs of AML compliance coupled with the high volume of backlog alerts swamp compliance teams and potentially distract them from “true” high-risk events and customer circumstances.
Alert investigation becomes a time-consuming and labor-intensive affair as the compliance team spends significant time gathering data and analyzing it to differentiate illegitimate activities from legitimate ones. Disparate data sources and highly complex business processes add to the difficulty of the investigation team in analyzing the links between parties and transactions.
As mentioned earlier, Tookitaki’s AMLS includes transaction monitoring, smart screening, customer risk scoring, and case management, a centralized investigation solution.
Transaction monitoring looks for suspicious transactions across different systems. It unlocks the power of Tookitaki’s library of typologies to detect hidden suspicious patterns.
Tookitaki’s AMLS generates fewer alerts of higher quality and then segregates them into low, medium, or high-risk alerts so companies can prioritize their investigations. The AMLS also updates regularly to include new money laundering patterns.
Smart screening watches out for high-risk individuals and corporate customers. Tookitaki designed the name screening module to handle a wider range of complex name permutations. To reduce the number of undetermined hits, Tookitaki enriched the module with inference features and additional customer profile identifiers. Tookitaki’s name screening module also reduces false positives, which happens when AML software incorrectly flags a customer as high-risk.
The Customer Risk Scoring module empowers banks in reducing their cost of compliance by providing an actual consumer view. This is backed by dynamic risk assessment that is self-evolving based on consumers’ new financial patterns.
ML models, too, benefit AFC ecosystems. For one, it increases effectiveness in identifying suspicious activities due to its sharper focus on data anomalies rather than threshold triggering. ML models also allow for easier customization of data features to accurately target specific risks, as well as enable extended look-back periods to detect more complex scenarios.
Any other insights you’d like to share?
Mr. Chatterjee: The AFC Ecosystem is now live, which means it is now open to the broader public. The ecosystem has grown considerably over the past few months owing to the active contribution by the experts. The AFC Ecosystem is a strong testament to how technology contributes to the critical mission of helping financial services combat crime and the financing of terrorism. With the ecosystem being open to the public, an AFC Honoree Badge Program has been launched because we believe that together we can make a difference.
(As appeared on Business World)
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Thailand’s AML/CFT Wake-Up Call: What Banks and Fintechs Must Prepare for in 2025
Thailand’s financial system is entering a defining era for anti-money laundering and counter-terrorism financing.
As the country deepens its regional trade and digital finance ambitions, it also faces mounting pressure to confront evolving financial crime threats, ranging from cross-border laundering to high-velocity scams and informal value transfers. With the FATF eyeing gaps in oversight and regulators tightening expectations, AML/CFT compliance is no longer just a back-office responsibility. It's a front-line defence for trust and competitiveness.
In this blog, we break down the current AML/CFT regulatory framework in Thailand, highlight key risks and real-world threats, explore upcoming reform pressures, and share how banks and fintechs can strengthen their compliance strategy through both innovation and collaboration.
The Regulatory Landscape in Thailand
Thailand’s AML/CFT framework is governed by the Anti-Money Laundering Office (AMLO), established in 1999. AMLO functions as both the financial intelligence unit (FIU) and the key enforcement agency overseeing compliance and investigations related to illicit finance.
The two core laws forming the backbone of the regulatory regime are:
- The Anti-Money Laundering Act (AMLA), B.E. 2542 (1999)
- The Counter-Terrorism and Proliferation of Weapons of Mass Destruction Financing Act, B.E. 2559 (2016)
Entities subject to AML/CTF obligations include:
- Commercial banks and financial institutions
- Money service businesses (MSBs), e-wallets, and fintech platforms
- Securities companies and insurance providers
- Real estate developers and dealers in precious stones/metals
- Legal professionals and notaries (in limited contexts)
Reporting entities must:
- Conduct customer due diligence (CDD) and enhanced due diligence (EDD)
- File suspicious transaction reports (STRs) and cash transaction reports (CTRs) with AMLO
- Retain records for a minimum of 5 years
- Establish internal AML programs, risk assessments, and staff training
FATF and Grey List Pressures
Thailand has had a complicated relationship with the Financial Action Task Force (FATF). After being grey-listed in 2011 due to strategic deficiencies in its AML regime, it made significant reforms and was removed in 2015.
However, FATF’s most recent mutual evaluation pointed to new challenges:
- Limited oversight of certain non-financial sectors
- Gaps in beneficial ownership transparency
- Uneven application of risk-based approaches
- Under-reporting of suspicious transactions by fintech and digital players
Why it matters: FATF grey-listing carries serious consequences. It can deter foreign investment, slow correspondent banking relationships, and increase the cost of doing business internationally. For Thai banks and fintechs, staying aligned with FATF expectations is not just about compliance—it’s about global competitiveness.
Real-World Threats: What’s Fueling Financial Crime in Thailand
Thailand’s economy, geographic location, and strong informal networks make it vulnerable to a wide range of predicate offences. Some of the most prominent financial crime threats include:
🔹 Drug Trafficking and Organised Crime
Transnational criminal groups exploit Thailand’s location in the Mekong subregion to launder drug proceeds through shell companies, property purchases, and trade channels.
🔹 Public Sector Corruption and Tax Crimes
Illicit enrichment and VAT fraud are common predicate offences, with funds often laundered via nominee accounts and luxury assets.
🔹 Cross-Border Laundering
Money mules, informal remittance systems, and trade-based money laundering (TBML) remain significant threats. Syndicates frequently layer funds through multiple jurisdictions.
🔹 Investment and Romance Scams
Thailand is increasingly being used as both a staging ground and a destination for proceeds from international fraud, including pig butchering scams and tech support frauds targeting foreign victims.
AMLO has flagged the rising use of e-wallets, digital platforms, and cash-intensive businesses as high-risk vehicles for laundering.
Challenges for Banks and Fintechs
Despite progress, many institutions face real hurdles when it comes to AML/CFT execution.
- Legacy Systems and Manual Workflows
Traditional rule-based systems often generate high false positives and miss nuanced patterns, especially in real-time transactions. - Fragmented Intelligence
Limited cross-institutional data sharing weakens the detection of syndicated risks, such as mule networks operating across multiple banks. - High Compliance Costs
Smaller fintechs and non-bank financial institutions struggle to meet regulatory requirements without draining operational resources. - Speed vs Safety in Payments
Instant payment rails (e.g., PromptPay) have made fund movement frictionless, but also difficult to trace once fraud or laundering occurs.
Thailand’s Push Toward RegTech and AI
Recognising these challenges, regulators and industry players are increasingly turning to RegTech to strengthen compliance without stifling innovation.
Notable trends:
- AI-driven transaction monitoring is gaining traction for detecting suspicious behaviour across vast datasets in real time.
- Automated screening tools are being used to process watchlists, sanctions, and politically exposed person (PEP) data more efficiently.
- Digital KYC and eKYB (Know Your Business) solutions are helping fintechs onboard customers with less friction and more accuracy.
AMLO itself has been vocal about the importance of technology in enhancing reporting accuracy and enabling real-time intelligence. Collaboration between regulators and the private sector on typology sharing and case-based learning is also gaining momentum.
How Tookitaki Supports Smarter Compliance in Thailand
Tookitaki’s FinCense platform is well-positioned to help Thai banks and fintechs overcome both regulatory and operational AML/CFT challenges.
Here’s how:
🔹 Scenario-Based Detection
FinCense leverages typologies contributed by global experts through the AFC Ecosystem. These include real-world cases such as QR-code laundering, mule account recruitment, and shell invoicing many of which mirror red flags identified by AMLO.
🔹 Smart Screening
Advanced screening tools that support multi-lingual names, alias logic, and national ID handling—critical in jurisdictions like Thailand.
🔹 AI-Powered Risk Scoring
Dynamic customer risk scoring and automated threshold tuning reduce false positives and allow institutions to focus on the most relevant alerts.
🔹 FinMate: AI Copilot for Compliance Teams
FinMate assists investigators by summarising alerts, surfacing behavioural insights, and recommending next steps, reducing the average case investigation time.
Whether you're dealing with fraud from romance scams or laundering via e-wallet networks, FinCense offers a flexible, modular approach that’s ready for Thailand’s fast-evolving risk environment.
Key Takeaways for Compliance Teams
✅ Thailand’s AML/CFT ecosystem is evolving, but financial crime threats are getting more sophisticated.
✅ FATF scrutiny and regulatory reform will intensify over the next 12–18 months.
✅ Manual systems are no longer sustainable—technology is a must-have.
✅ Cross-border risk requires cross-sector intelligence—collaboration is key.
✅ Institutions that prioritise adaptive compliance now will gain a strategic edge in the future.
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Conclusion: Thailand’s Next Chapter in AML/CFT Compliance
Thailand has made significant progress in building its AML/CFT regime, but the fight is far from over. As financial crime networks grow more organised and tech-savvy, regulators and institutions must respond in kind—with smarter systems, stronger collaboration, and a proactive mindset.
The future of compliance in Thailand isn’t just about ticking regulatory boxes. It’s about building trust, resilience, and readiness—not just for the next audit, but for the next threat.
Inside AUSTRAC: Navigating Australia’s AML/CTF Regulations in a High-Risk Era
As money laundering methods grow more sophisticated, the pressure on financial institutions to detect, report, and prevent financial crime is intensifying — and AUSTRAC is at the centre of it all.
In an era where financial ecosystems are rapidly digitising, AUSTRAC’s role in overseeing Anti-Money Laundering (AML) and Counter-Terrorism Financing (CTF) compliance has become mission-critical. For banks, fintechs, and other reporting entities, staying ahead of regulatory expectations is no longer just a compliance issue — it’s a matter of reputation, trust, and long-term viability.
In this blog, we explore:
- AUSTRAC’s mandate and structure
- Key AML/CTF obligations under Australian law
- Landmark enforcement cases
- Upcoming reforms, including Tranche 2
- FATF scrutiny and global compliance pressures
- How tech-forward compliance strategies are reshaping the future
What is AUSTRAC and Why Does It Matter?
AUSTRAC — the Australian Transaction Reports and Analysis Centre — is the government body responsible for detecting and disrupting criminal abuse of Australia’s financial system.
AUSTRAC has a dual mandate:
- Regulator: Supervises compliance with AML/CTF obligations.
- Financial Intelligence Unit (FIU): Collects and analyses data to support law enforcement, national security, and international counterparts.
It works with over 17,000 reporting entities, ranging from traditional banks to digital wallets, remittance providers, gaming platforms, and more. As both a data collector and enforcer, AUSTRAC is uniquely positioned to uncover illicit financial activity at scale.
A Brief History of AML/CTF Regulation in Australia
Australia’s journey in strengthening its anti-money laundering and counter-terrorism financing framework began in earnest with the passage of the AML/CTF Act in 2006. This legislation introduced foundational obligations such as KYC procedures, transaction monitoring, and reporting requirements for a wide range of financial institutions and service providers.
Over time, the regime has evolved significantly. In 2014, AUSTRAC formalised the risk-based approach, requiring entities to tailor their AML programs based on their specific exposure to financial crime risks.
The period between 2018 and 2020 marked a turning point in enforcement, with AUSTRAC taking decisive action against some of Australia’s largest institutions — including Tabcorp, the Commonwealth Bank, and Westpac — for major compliance failures.
In the years that followed, Tranche 2 reforms were proposed to expand AML/CTF obligations to include professions such as lawyers, accountants, and real estate agents, which are known to be exploited for laundering illicit funds.
As of 2024, these reforms remain under active discussion, with the Australian government under growing pressure from international bodies such as the FATF to close regulatory gaps. The expected passage of Tranche 2 in 2025 would significantly broaden AUSTRAC’s regulatory reach and bring Australia closer in line with global AML standards.
Understanding Your AML/CTF Obligations
If your institution provides “designated services” under the AML/CTF Act, here’s what you’re required to do:
🔹 AML/CTF Program (Part A and Part B)
- Part A: Institutional risk assessments, governance, reporting, and training
- Part B: Customer identification and verification procedures (KYC)
🔹 Reporting Requirements
- Suspicious Matter Reports (SMRs)
Must be submitted when the activity raises suspicion, regardless of the amount. - Threshold Transaction Reports (TTRs)
For cash transactions of AUD 10,000 or more. - International Funds Transfer Instructions (IFTIs)
Mandatory for cross-border fund movements.
🔹 Customer Due Diligence (CDD)
- Verify customer identity at onboarding
- Apply Enhanced Due Diligence (EDD) for high-risk customers or transactions
- Conduct ongoing monitoring
🔹 Record Keeping
- Maintain transaction and identity verification records for at least 7 years.
AUSTRAC’s Enforcement Power: Learning from Past Failures
AUSTRAC is not just a passive regulator. When institutions fall short, the consequences are severe and public.
The Crown Resorts Case
In 2022, Crown Melbourne and Crown Perth were found guilty of systemic AML/CTF program failures. AUSTRAC investigations revealed:
- Inadequate risk assessments of high-risk customers and junket operators
- Poor transaction monitoring
- Weak governance and oversight
Penalty: AUD 450 million settlement
Impact: Major reputational damage and licence scrutiny
The Westpac Case
Arguably, the most consequential case in Australia’s AML history. In 2020, Westpac was fined AUD 1.3 billion — the largest civil penalty in Australian corporate history — for:
- Failing to report over 23 million IFTIs
- Inadequate transaction monitoring
- Enabling transactions linked to child exploitation networks
These cases underscore the high expectations placed on financial institutions — not just to comply, but to detect, investigate, and prevent abuse of their services.
Australia’s AML Pain Points and What Tranche 2 Means
Unregulated Professions: The Tranche 2 Gap
Australia’s AML/CTF regime currently does not cover “gatekeeper” professions — lawyers, accountants, real estate agents, and company service providers. This gap has drawn criticism from both the FATF and domestic watchdogs.
Tranche 2, expected to be legislated in 2025, will:
- Extend AML obligations to these sectors
- Close critical vulnerabilities exploited for shell companies, illicit property purchases, and tax evasion
- Align Australia with global AML standards
For fintechs and financial institutions, this will mean greater scrutiny of third-party relationships and new customer categories.
FATF Evaluation: Australia Under the Global Lens
The Financial Action Task Force (FATF) — the global AML watchdog — is expected to conduct its next mutual evaluation of Australia soon. In its last review, Australia was flagged for:
- Delays in enacting Tranche 2 reforms
- Over-reliance on self-regulation in some sectors
- Inconsistent enforcement levels
AUSTRAC and the government are now under pressure to demonstrate tangible improvements, including:
- Broader coverage of at-risk sectors
- Better risk-based supervision
- More tech-led compliance outcomes
How Fintechs Can Stay Ahead
For fintechs, the AML/CTF journey can seem overwhelming, especially when scaling across regions. Here are five key steps to staying ahead:
- Invest Early in AML Infrastructure
Don’t wait until licensing or audits to build compliance controls. - Use Technology to Monitor in Real-Time
Especially for high-velocity, small-value transactions common in wallets or P2P services. - Customise Risk Scoring
A high-risk customer in lending may not be the same as one in gaming or cross-border remittances. - Build for Scalability
Choose AML platforms that can grow with you, not patchwork solutions. - Stay Informed on Regional Variations
AUSTRAC’s expectations differ from MAS (Singapore) or BSP (Philippines); know your market.
Why AML Tech Is No Longer Optional
In today’s landscape, manual reviews and static rules don’t cut it. Criminals move faster — and so must compliance teams.
Key advantages of modern AML platforms:
- Machine learning-based transaction monitoring
- Dynamic threshold calibration to reduce false positives
- Real-time alerting and case triage
- Behavioural profiling and pattern recognition
- Audit-ready investigation trails
How Tookitaki Helps You Stay Ahead
Tookitaki’s FinCense platform is purpose-built to tackle the real challenges banks and fintechs face in Australia and across APAC.
Key Modules:
🔹 Customer Onboarding Suite
Seamlessly integrates KYC, risk profiling, and watchlist screening
🔹 Transaction Monitoring
Scenario-based detection using patterns from the AFC Ecosystem
🔹 Smart Screening
Covers national ID, aliases, and local nuances — built to minimise false positives
🔹 FinMate (AI Copilot)
Assists investigators with summarised case narratives, red flags, and recommendations
Collaborative Advantage:
FinCense is powered by the AFC Ecosystem — a global community where financial institutions share typologies and red flags anonymously. This collective intelligence improves detection and reduces blind spots for all members.
For institutions facing rising risks from cross-border scams, shell company abuse, and real-time laundering, Tookitaki offers a smarter, community-driven alternative to traditional rule engines.
Final Thoughts: A Smarter Future Starts Now
AUSTRAC’s expanding role and the upcoming Tranche 2 reforms signal a future where compliance will be more inclusive, tech-powered, and intelligence-driven.
For banks and fintechs, the opportunity lies not just in complying, but in leading. With the right tools, collaborative frameworks, and forward-thinking partners like Tookitaki, staying ahead of both regulation and risk is no longer an aspiration — it’s an expectation.
The Thai Investment Scam That Sold Dreams and Stole Millions from Australians
In an era where trust is everything, a well-orchestrated investment scam has shaken thousands of unsuspecting Australians—reminding us that financial fraud is becoming smarter, faster, and more global.
In June 2025, Thai police arrested 13 foreign nationals operating a fake investment scheme that swindled over 14,000 Australians, totalling USD 1.2 million in losses. The arrests marked a breakthrough, but also exposed a growing web of cross-border fraud built on digital deception.
Background of the Scam
How the Scam Worked
The fraudsters posed as investment consultants from legitimate-sounding financial firms. Using spoofed Australian phone numbers, they cold-called thousands of individuals across the country and offered attractive bond investment opportunities. These pitches came with fake documentation, official logos, and scripted professionalism designed to build trust quickly.
Key elements of the modus operandi:
- Cold Calls: Made using VoIP services that masked the true origin.
- Fake Bonds: Named similarly to well-known offerings like “Liberty Bonds”.
- Pressure Tactics: Victims were told the opportunity was limited-time and required urgent action.
- Credibility Builders: They shared fraudulent certificates, fake websites, and even customer service follow-ups.
The syndicate used psychological manipulation and urgency to override rational scepticism—a classic hallmark of modern investment fraud.
What the Case Revealed
The arrests revealed a shocking level of operational maturity:
- The scam was run like a call centre—with job roles, scripts, and tech infrastructure.
- Laptops, phones, documents, and hard drives found on-site pointed to thousands of victim profiles.
- The scammers were not Thai nationals—they were foreigners recruited for their English skills and familiarity with Australian culture.
This case also confirmed suspicions that Southeast Asia is increasingly a base of operations for globally targeted scams due to loosely regulated digital infrastructure and low operational costs.
Impact on Global Finance
The Thai investment scam isn’t an isolated financial crime—it’s a sign of larger systemic risks:
🌐 Cross-Border Vulnerabilities
- Victims in Australia, syndicates in Thailand, digital payments routed through intermediary countries—a truly borderless operation.
- This highlights weaknesses in international anti-fraud collaboration, especially in early detection and enforcement.
📉 Institutional Trust Erosion
- Thousands of Australians now second-guess legitimate investment outreach.
- As frauds mimic real financial products, trust in banks, fintechs, and brokers is undermined—especially among older investors.
💸 Rising Compliance Costs
- Financial institutions face pressure to tighten onboarding, verification, and investment approval protocols.
- These measures, while necessary, increase costs and slow down legitimate operations.
🔁 Abuse of Financial Infrastructure
- Scammers moved stolen funds via mule accounts, prepaid cards, and potentially crypto wallets, complicating recovery efforts and aiding money laundering.
This scam may be small in dollar terms compared to global Ponzi schemes, but in structural impact, it’s significant.
Lessons Learned from the Scam
The Thai scam case offers valuable lessons for all financial stakeholders:
1. Scams are Scalable
Fraud is no longer amateur—it’s an industrialised business model with SOPs, tech stacks, and recruitment funnels. Treat it like a business, not a one-off incident.
2. Consumer Awareness is a Weak Link
Even financially literate individuals were duped. The emotional triggers and sophisticated documentation overpowered rational caution. Public education must be ongoing and adaptive.
3. Older Demographics Need Targeted Protection
A large portion of the victims were retirees or older professionals—an age group with access to capital but less digital scam awareness.
4. Transnational Law Enforcement Is Critical
The success of this bust hinged on coordination between Thai police and Australian authorities. Stronger intelligence-sharing, extradition treaties, and regional enforcement frameworks are now vital.
5. Scams Are Brand Killers
Reputational damage from such scams doesn’t just affect the victims—it casts a shadow on entire categories of legitimate financial products.
The Role of Technology in Preventing Future Scandals
As scams grow more sophisticated, traditional rule-based compliance systems are no longer enough. Financial institutions must move towards intelligent, adaptive, and collaborative technologies.
1. AI-Powered Transaction Monitoring
Detecting subtle anomalies—such as unusually timed investments, repeat transactions to flagged accounts, or first-time investors sending large sums—requires machine learning models that learn and adapt from real-time data.
2. Collaborative Intelligence
Scams often follow repeated patterns. A federated approach allows institutions to share risk indicators and red flags without exposing customer data—building collective muscle to fight new threats faster.
3. Behavioural Risk Modelling
Beyond static thresholds, systems can now track behavioural shifts—like a customer suddenly engaging in high-risk investments, or funds moving through unfamiliar geographies.
4. Continuous Learning
Fraud is dynamic—your defences must be too. Tools that ingest new typologies, simulate red flag thresholds, and auto-tune detection parameters are the future of scalable protection.
Moving Forward: Learning from the Past, Preparing for the Future
This scam underscores the urgent need for proactive, intelligence-led financial crime defence strategies. Institutions can no longer afford to act alone, react late, or rely solely on static rules.
This is where Tookitaki’s FinCense platform comes in. Purpose-built for the new era of fraud and compliance, it enables:
- 🔍 Advanced typology-based detection that spots patterns in transactions, behaviour, and cross-border flow.
- 🤖 Federated learning models that update with every new red flag scenario contributed by a global expert community.
- 🛡️ Scenario simulation engines to test your institution’s resilience to evolving scams before they strike.
- 📉 Smart dispositioning to reduce false positives while capturing real threats early.
Tookitaki’s platform, powered by the AFC Ecosystem, transforms compliance teams from passive detectors into active defenders.
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Conclusion
The Thai investment fraud case was more than a scam—it was a systems test. A test of our global defences, our public awareness, and our institutional resilience.
Thousands lost money. But the real loss would be if we ignored what this case revealed.
It’s time for the financial ecosystem to level up—combining technology, collaboration, and foresight to stay ahead of an increasingly professional fraud economy.
Because the next scam is already being planned.
The question is: will we be ready?
Australia on Alert: Why Financial Crime Prevention Needs a Smarter Playbook
From traditional banks to rising fintechs, Australia's financial sector is under siege—not from market volatility, but from the surging tide of financial crime. In recent years, the country has become a hotspot for tech-enabled fraud and cross-border money laundering.
A surge in scams, evolving typologies, and increasingly sophisticated actors are pressuring institutions to confront a hard truth: the current playbook is outdated. With fraudsters exploiting digital platforms and faster payments, financial institutions must now pivot from reactive defences to real-time, intelligence-led prevention strategies.
The Australian government has stepped up through initiatives like the National Anti-Scam Centre and legislative reforms—but the real battleground lies inside financial institutions. Their ability to adapt fast, collaborate widely, and think smarter will define who stays ahead.
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The Evolving Threat Landscape
Australia’s shift to instant payments via the New Payments Platform (NPP) has revolutionised financial convenience. However, it's also reduced the window for detecting fraud to mere seconds—exposing institutions to high-velocity, low-footprint crime.
In 2024, Australians lost over AUD 2 billion to scams, according to the ACCC’s Scamwatch report:
- Investment scams accounted for the largest losses at AUD 945 million
- Remote access scams followed with AUD 106 million
- Other high-loss categories included payment redirection and phishing scams
Behind many of these frauds are organised crime groups that exploit vulnerabilities in onboarding systems, mule account networks, and compliance delays. These syndicates operate internationally, often laundering funds through unsuspecting victims or digital assets.
Recent alerts from AUSTRAC and ASIC also highlighted the misuse of cryptocurrency exchanges, online gaming wallets, and e-commerce platforms in money laundering schemes. The message is clear: financial crime is mutating faster than most defences can adapt.
Why Traditional Defences Are Falling Short
Despite growing threats, many financial institutions still rely on legacy systems that were designed for a static risk environment. These tools:
- Depend on manual rule updates, which can take weeks or months to deploy
- Trigger false positives at scale, overwhelming compliance teams
- Operate in silos, with no shared visibility across institutions
For instance, a suspicious pattern flagged at one bank may go entirely undetected at another—simply because they don’t share learnings. This fragmented model gives criminals a huge advantage, allowing them to exploit gaps in coverage and coordination.
The consequences aren’t just operational—they’re strategic. As financial criminals embrace automation, phishing kits, and AI-generated deepfakes, institutions using static tools are increasingly being outpaced.
The Cost of Inaction
The financial and reputational fallout from poor detection systems can be severe.
1. Consumer Trust Erosion
Australians are increasingly vocal about scam experiences. Victims often turn to social media or regulators after being defrauded—especially if they feel the bank was slow to react or dismissive of their case.
2. Regulatory Enforcement
AUSTRAC has made headlines with its tough stance on non-compliance. High-profile penalties against Crown Resorts, Star Entertainment, and non-bank remittance services show that even giants are not immune to scrutiny.
3. Market Reputation Risk
Investors and partners view AML and fraud management as core risk factors. A single failure can trigger media attention, customer churn, and long-term brand damage.
The bottom line? Institutions can no longer afford to treat compliance as a cost centre. It’s a driver of brand trust and operational resilience.
Rethinking AML and Fraud Prevention in Australia
As criminal innovation continues to escalate, the defence strategy must be proactive, intelligent, and collaborative. The foundations of this smarter approach include:
✅ AI-Powered Detection Systems
These systems move beyond rule-based alerts to analyse behavioural patterns in real-time. By learning from past frauds and adapting dynamically, AI models can flag suspicious activity before it becomes systemic.
For example:
- Unusual login behaviour combined with high-value NPP transfers
- Layered payments through multiple prepaid cards and wallets
- Transactions just under the reporting threshold from new accounts
These patterns may look innocuous in isolation, but form high-risk signals when viewed in context.
✅ Federated Intelligence Sharing
Australia’s siloed infrastructure has long limited inter-institutional learning. A federated model enables institutions to share insights without exposing sensitive data—helping detect emerging scams faster.
Shared typologies, red flags, and network patterns allow compliance teams to benefit from collective intelligence rather than fighting crime alone.
✅ Human-in-the-Loop Collaboration
Technology is only part of the answer. AI tools must be designed to empower investigators, not replace them. When AI surfaces the right alerts, compliance professionals can:
- Reduce time-to-investigation
- Make informed, contextual decisions
- Focus on complex cases with real impact
This fusion of human judgement and machine precision is key to staying agile and accurate.
A Smarter Playbook in Action: How Tookitaki Helps
At Tookitaki, we’ve built an ecosystem that reflects this smarter, modern approach.
FinCense is an AI-native platform designed for real-time detection across fraud and AML. It automates threshold tuning, uses network analytics to detect mule activity, and continuously evolves with new typologies.
The AFC Ecosystem is our collaborative network of compliance professionals and institutions who contribute real-world risk scenarios and emerging fraud patterns. These scenarios are curated, validated, and available out-of-the-box for immediate deployment in FinCense.
Some examples already relevant to Australian institutions include:
- QR code-enabled scams using fake invoice payments
- Micro-laundering via e-wallet top-ups and fast NPP withdrawals
- Cross-border layering involving crypto exchanges and shell businesses
Together, FinCense and the AFC Ecosystem enable institutions to:
- Detect faster
- Collaborate smarter
- Reduce false positives
- Stay regulator-ready
Building a Future-Ready Framework
The question is no longer if financial crime will strike—it’s how well prepared your institution is when it does.
To be future-ready, institutions must:
- Break silos through collaborative platforms
- Invest in continuous learning systems that evolve with threats
- Equip teams with intelligent tools, not more manual work
Those who act now will not only improve operational resilience, but also lead in restoring public trust.
As the financial landscape transforms, so too must the compliance infrastructure. Tomorrow’s threats demand a shared response, built on intelligence, speed, and community-led innovation.
Conclusion: Trust Is the New Currency
Australia is at a turning point. The cost of reactive, siloed compliance is too high—and criminals are already exploiting the lag.
It’s time to adopt a smarter playbook. One where technology, collaboration, and shared intelligence replace outdated controls.
At Tookitaki, we’re proud to build the Trust Layer for Financial Services—empowering banks and fintechs to:
- Stop fraud before it escalates
- Reduce false positives and compliance fatigue
- Strengthen transparency and accountability
Through FinCense and the AFC Ecosystem, our mission is simple: enable smarter decisions, faster actions, and safer financial systems.
Behind the Compliance Curtain: The Future of AML in Australia
Australia’s sunny financial reputation has come under scrutiny—and this time, the spotlight is global.
From casino scandals to multi-billion-dollar remittance breaches, the country’s anti-money laundering (AML) framework is facing a pivotal moment. What was once seen as a gold standard in regional governance is now under pressure to catch up—and compliance officers across banks, fintechs, and regulatory bodies are watching closely.
So what lies behind the curtain of AML in Australia today—and what must the financial community do next?
The AML Landscape in Australia: Where Things Stand
Australia’s AML/CFT regime has long been led by AUSTRAC, the nation’s financial intelligence unit and regulator. Over the past few years, AUSTRAC has made headlines with major enforcement actions:
- Westpac (2020): A $1.3 billion penalty over 23 million breaches of AML laws.
- Crown Resorts (2022): Systemic failure to monitor high-risk transactions, especially tied to junket operators and casinos.
- Star Entertainment Group (2022): Similar failings in AML controls and customer due diligence.
These cases revealed a troubling pattern: AML risks were known, red flags existed, but institutions lacked either the technology, urgency, or capability to respond in real time.
More worryingly, Australia’s AML legal framework—particularly its coverage of non-financial sectors like lawyers, accountants, real estate agents, and high-value dealers—remains incomplete. This gap in regulatory coverage continues to raise red flags with global watchdogs, especially the Financial Action Task Force (FATF).
The Tranche 2 Reforms: Closing the Gaps or Buying Time?
For nearly two decades, Australia has delayed implementing the so-called Tranche 2 reforms, which would bring designated non-financial businesses and professions (DNFBPs) into the AML regulatory net.
What Tranche 2 Proposes:
- AML obligations for real estate professionals, lawyers, accountants, and company service providers.
- Stronger beneficial ownership transparency.
- Enhanced customer due diligence and reporting mechanisms across non-financial channels.
Yet, while successive governments have pledged action, progress has been sluggish. Industry bodies have raised concerns about cost, feasibility, and regulatory overreach. But international momentum is building, and patience is wearing thin.
In its 2023 follow-up review, FATF explicitly called out Australia’s delayed reforms. Without Tranche 2, the country faces increased scrutiny—and potential reputational damage that could affect correspondent banking relationships and investor trust.
The Tech Factor: How Modern AML Looks in 2025
Even where regulations exist, legacy compliance systems are struggling to keep up with today’s threats. Financial crime has evolved. So must the tools to fight it.
What’s Changed:
- Speed: Real-time payments and digital wallets mean funds can be layered, split, and moved across jurisdictions in seconds.
- Complexity: Fraudsters are using mules, shell companies, and social engineering to blend illicit flows with legitimate ones.
- Volume: Transaction volumes are rising, making manual reviews and static rules increasingly unviable.
Modern AML compliance now demands real-time monitoring, behavioural analysis, and AI-driven detection engines that adapt to new patterns as they emerge. This is where advanced platforms like Tookitaki’s FinCense come in—offering scenario-driven intelligence and federated learning capabilities tailored for high-risk markets like Australia.
Case Insight: Where Detection Failed—and Where Tech Could Have Helped
Consider the AUSTRAC case against Crown Resorts. Red flags—such as large, unexplained cash deposits, transactions linked to politically exposed persons (PEPs), and high-risk jurisdictions—were not acted upon for months, sometimes years.
The problem wasn’t a lack of data. It was a failure to connect the dots in real time.
With an adaptive AML system like FinCense in place, the scenario might have looked different:
- Suspicious transaction patterns would have triggered real-time alerts.
- Beneficiary risk scoring could have flagged high-risk links earlier.
- AI-based learning could have surfaced anomalous activity invisible to static rule sets.
The outcome? Faster intervention, reduced institutional risk, and regulatory confidence.
Building the Future: Tookitaki’s Role in Strengthening Australia’s AML Defences
Tookitaki’s FinCense platform is designed for the complexity of modern financial ecosystems—especially those navigating regulatory reform and reputational pressure, like Australia.
Key Features That Matter:
- Federated Learning Engine: Enables institutions to learn from emerging typologies across the region—without sharing sensitive data.
- Real-Time Transaction Monitoring: Uses AI to surface anomalous patterns and risk indicators at the speed of today’s financial crime.
- Scenario-Based Approach: Combines regulatory intelligence with real-world cases to keep detection capabilities relevant and context-rich.
- Audit-Ready Investigations: Helps compliance teams manage alerts, document findings, and demonstrate control effectiveness.
As Tranche 2 looms and regulatory expectations rise, FinCense can help banks and fintechs in Australia stay ahead of both criminal innovation and regulatory demand.
What Compliance Teams Must Do Now
✅ Prepare for Tranche 2 (Even If It’s Not Here Yet)
- Map exposure to DNFBPs.
- Engage with vendors and consultants to scope out necessary controls.
✅ Build for Agility and Resilience
- Invest in dynamic risk-scoring engines and AI-powered analytics.
- Integrate systems that can adapt, not just flag transactions.
✅ Collaborate and Learn
- Participate in intelligence-sharing platforms like the AFC Ecosystem.
- Use scenario libraries to anticipate typologies before they strike.
✅ Rethink ROI from an AML Lens
- With regulators now tracking the effectiveness (not just existence) of AML systems, demonstrate real-time capability, reduced false positives, and improved investigation turnaround.
Conclusion: The Curtain’s Up—What Will Australia Do Next?
Australia stands at a crossroads. Behind the curtain of its legacy AML system lies both risk and opportunity.
The risk is clear: continued global scrutiny, regulatory gaps, and potential grey listing if reforms stall.
But the opportunity is greater: to lead the region with tech-driven, intelligence-led compliance that’s faster, smarter, and more collaborative than ever.
As the regulatory environment evolves, so must the institutions within it. With the right partners, like Tookitaki, and a commitment to real-time defences, Australia can transform its AML posture from reactive to revolutionary.
Because in the fight against financial crime, detection is no longer enough. It’s time to defend.
Inside AUSTRAC: Navigating Australia’s AML/CTF Regulations in a High-Risk Era
As money laundering methods grow more sophisticated, the pressure on financial institutions to detect, report, and prevent financial crime is intensifying — and AUSTRAC is at the centre of it all.
In an era where financial ecosystems are rapidly digitising, AUSTRAC’s role in overseeing Anti-Money Laundering (AML) and Counter-Terrorism Financing (CTF) compliance has become mission-critical. For banks, fintechs, and other reporting entities, staying ahead of regulatory expectations is no longer just a compliance issue — it’s a matter of reputation, trust, and long-term viability.
In this blog, we explore:
- AUSTRAC’s mandate and structure
- Key AML/CTF obligations under Australian law
- Landmark enforcement cases
- Upcoming reforms, including Tranche 2
- FATF scrutiny and global compliance pressures
- How tech-forward compliance strategies are reshaping the future
What is AUSTRAC and Why Does It Matter?
AUSTRAC — the Australian Transaction Reports and Analysis Centre — is the government body responsible for detecting and disrupting criminal abuse of Australia’s financial system.
AUSTRAC has a dual mandate:
- Regulator: Supervises compliance with AML/CTF obligations.
- Financial Intelligence Unit (FIU): Collects and analyses data to support law enforcement, national security, and international counterparts.
It works with over 17,000 reporting entities, ranging from traditional banks to digital wallets, remittance providers, gaming platforms, and more. As both a data collector and enforcer, AUSTRAC is uniquely positioned to uncover illicit financial activity at scale.
A Brief History of AML/CTF Regulation in Australia
Australia’s journey in strengthening its anti-money laundering and counter-terrorism financing framework began in earnest with the passage of the AML/CTF Act in 2006. This legislation introduced foundational obligations such as KYC procedures, transaction monitoring, and reporting requirements for a wide range of financial institutions and service providers.
Over time, the regime has evolved significantly. In 2014, AUSTRAC formalised the risk-based approach, requiring entities to tailor their AML programs based on their specific exposure to financial crime risks.
The period between 2018 and 2020 marked a turning point in enforcement, with AUSTRAC taking decisive action against some of Australia’s largest institutions — including Tabcorp, the Commonwealth Bank, and Westpac — for major compliance failures.
In the years that followed, Tranche 2 reforms were proposed to expand AML/CTF obligations to include professions such as lawyers, accountants, and real estate agents, which are known to be exploited for laundering illicit funds.
As of 2024, these reforms remain under active discussion, with the Australian government under growing pressure from international bodies such as the FATF to close regulatory gaps. The expected passage of Tranche 2 in 2025 would significantly broaden AUSTRAC’s regulatory reach and bring Australia closer in line with global AML standards.
Understanding Your AML/CTF Obligations
If your institution provides “designated services” under the AML/CTF Act, here’s what you’re required to do:
🔹 AML/CTF Program (Part A and Part B)
- Part A: Institutional risk assessments, governance, reporting, and training
- Part B: Customer identification and verification procedures (KYC)
🔹 Reporting Requirements
- Suspicious Matter Reports (SMRs)
Must be submitted when the activity raises suspicion, regardless of the amount. - Threshold Transaction Reports (TTRs)
For cash transactions of AUD 10,000 or more. - International Funds Transfer Instructions (IFTIs)
Mandatory for cross-border fund movements.
🔹 Customer Due Diligence (CDD)
- Verify customer identity at onboarding
- Apply Enhanced Due Diligence (EDD) for high-risk customers or transactions
- Conduct ongoing monitoring
🔹 Record Keeping
- Maintain transaction and identity verification records for at least 7 years.
AUSTRAC’s Enforcement Power: Learning from Past Failures
AUSTRAC is not just a passive regulator. When institutions fall short, the consequences are severe and public.
The Crown Resorts Case
In 2022, Crown Melbourne and Crown Perth were found guilty of systemic AML/CTF program failures. AUSTRAC investigations revealed:
- Inadequate risk assessments of high-risk customers and junket operators
- Poor transaction monitoring
- Weak governance and oversight
Penalty: AUD 450 million settlement
Impact: Major reputational damage and licence scrutiny
The Westpac Case
Arguably, the most consequential case in Australia’s AML history. In 2020, Westpac was fined AUD 1.3 billion — the largest civil penalty in Australian corporate history — for:
- Failing to report over 23 million IFTIs
- Inadequate transaction monitoring
- Enabling transactions linked to child exploitation networks
These cases underscore the high expectations placed on financial institutions — not just to comply, but to detect, investigate, and prevent abuse of their services.
Australia’s AML Pain Points and What Tranche 2 Means
Unregulated Professions: The Tranche 2 Gap
Australia’s AML/CTF regime currently does not cover “gatekeeper” professions — lawyers, accountants, real estate agents, and company service providers. This gap has drawn criticism from both the FATF and domestic watchdogs.
Tranche 2, expected to be legislated in 2025, will:
- Extend AML obligations to these sectors
- Close critical vulnerabilities exploited for shell companies, illicit property purchases, and tax evasion
- Align Australia with global AML standards
For fintechs and financial institutions, this will mean greater scrutiny of third-party relationships and new customer categories.
FATF Evaluation: Australia Under the Global Lens
The Financial Action Task Force (FATF) — the global AML watchdog — is expected to conduct its next mutual evaluation of Australia soon. In its last review, Australia was flagged for:
- Delays in enacting Tranche 2 reforms
- Over-reliance on self-regulation in some sectors
- Inconsistent enforcement levels
AUSTRAC and the government are now under pressure to demonstrate tangible improvements, including:
- Broader coverage of at-risk sectors
- Better risk-based supervision
- More tech-led compliance outcomes
How Fintechs Can Stay Ahead
For fintechs, the AML/CTF journey can seem overwhelming, especially when scaling across regions. Here are five key steps to staying ahead:
- Invest Early in AML Infrastructure
Don’t wait until licensing or audits to build compliance controls. - Use Technology to Monitor in Real-Time
Especially for high-velocity, small-value transactions common in wallets or P2P services. - Customise Risk Scoring
A high-risk customer in lending may not be the same as one in gaming or cross-border remittances. - Build for Scalability
Choose AML platforms that can grow with you, not patchwork solutions. - Stay Informed on Regional Variations
AUSTRAC’s expectations differ from MAS (Singapore) or BSP (Philippines); know your market.
Why AML Tech Is No Longer Optional
In today’s landscape, manual reviews and static rules don’t cut it. Criminals move faster — and so must compliance teams.
Key advantages of modern AML platforms:
- Machine learning-based transaction monitoring
- Dynamic threshold calibration to reduce false positives
- Real-time alerting and case triage
- Behavioural profiling and pattern recognition
- Audit-ready investigation trails
How Tookitaki Helps You Stay Ahead
Tookitaki’s FinCense platform is purpose-built to tackle the real challenges banks and fintechs face in Australia and across APAC.
Key Modules:
🔹 Customer Onboarding Suite
Seamlessly integrates KYC, risk profiling, and watchlist screening
🔹 Transaction Monitoring
Scenario-based detection using patterns from the AFC Ecosystem
🔹 Smart Screening
Covers national ID, aliases, and local nuances — built to minimise false positives
🔹 FinMate (AI Copilot)
Assists investigators with summarised case narratives, red flags, and recommendations
Collaborative Advantage:
FinCense is powered by the AFC Ecosystem — a global community where financial institutions share typologies and red flags anonymously. This collective intelligence improves detection and reduces blind spots for all members.
For institutions facing rising risks from cross-border scams, shell company abuse, and real-time laundering, Tookitaki offers a smarter, community-driven alternative to traditional rule engines.
Final Thoughts: A Smarter Future Starts Now
AUSTRAC’s expanding role and the upcoming Tranche 2 reforms signal a future where compliance will be more inclusive, tech-powered, and intelligence-driven.
For banks and fintechs, the opportunity lies not just in complying, but in leading. With the right tools, collaborative frameworks, and forward-thinking partners like Tookitaki, staying ahead of both regulation and risk is no longer an aspiration — it’s an expectation.