Regulatory compliance in Asia: Reasons behind the rise of Regtech
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It’s been more than a year and a half since the COVID-19 pandemic wreaked havoc across the world and changed the day-to-day operations of businesses. Financial institutions and their regulatory compliance teams have not been free from the effects of the pandemic. As remote working has become the new normal, there have been bottlenecks in effectively carrying out compliance operations. On top of that, financial crime threats have been increasing as perpetrators made ‘good’ use of the pandemic situation to adapt their strategies. To solve these issues, financial institutions are increasingly turning to regulatory technology or Regtech.
While the reliance on technology to manage regulatory compliance operations rose across the globe, organisations based in the Asia-Pacific (APAC) are seemingly not shying away. The demand for Regtech is on the rise in the region in line with its recent surge in regulatory requirements, according to a report released by the Irish government-backed venture capitalist Enterprise Ireland and Kapronasia. According to Facts and Factors research, the global RegTech Market was estimated at USD 5.31 billion in 2019 and is expected to reach USD 33.1 billion by 2026, a growth rate of over 20% per year. The APAC region is expected to have the highest growth rate over this period.
Why is Regtech booming in APAC?
With its growing economic importance, the APAC region is expected to become the new engine of Regtech growth and innovation in the future, according to the report. It cites reasons such as “the rapid development of emerging Asian markets and financial systems, increased investment in new technologies and digital transformation, greater regulatory acceptance, and extensive infrastructure development”.
While Regtech uptake in the developed economies is driven by “a convoluted financial ecosystem and a rise in complex regulations”, the emerging economies are being helped primarily by “the business case and under-resourced regulators”. The report adds that the technology and compliance standards in emerging markets in Asia will mature along with their economies, paving the way for increased Regtech adoption. Let us look into some of the key factors that helped increase Regtech adoption in APAC.
- Digital transformation of APAC
The development of digital economies across APAC would help immensely for the growth of Regtech in the region. The internet economy of the region has been steadily growing. In Southeast Asia, the size more than tripled over the last four years to reach US$100 billion in 2019, as Malaysia, Thailand, Singapore, and the Philippines saw growth rates of between 20-30% per year.
The adoption of digital payment technologies is steadily increasing in the region and non-cash transactions are expected to account for almost one in every two dollars spent by 2025. These technological advancements bring in significant risks along with their unprecedented gains. Therefore, regulators in the region are expected to come up with new regulations to manage these payment technologies and platforms, resulting in more compliance obligations for financial services.
- Fintech growth and related risks
A Fintech revolution is currently underway in Asia, especially in Southeast Asia, aided by its robust economic growth, favourable demographics and high internet penetration. Amidst the pandemic, investments into APAC’s fintech sector totalled US$11.6 billion across 565 deals in 2020, compared to US$16.8 billion in 2019. Financial inclusion initiatives in the region led to innovative payment technologies which would require a new set of regulations.
A highly complex regulatory environment is coming up in many Asian markets due to disruptive technologies such as artificial intelligence (AI), machine learning and distributed ledger technology, and the entry of new market participants. Non-bank payment providers/systems are still largely unregulated, and increased regulation of alternative finance is expected over the next two years.
- Extraterritorial obligations
Many regulators in APAC are subject to extraterritorial obligations based on their international economic and political relationships. For example, international AML watchdog FATF hands out timely AML/CFT recommendations for its member countries to update their regulations. At the same time, interoperability and standardisation have become key focus areas of importance among regulators.
The need for data privacy and protection to mitigate payments risk and boost digital payment volumes is another area the regulators are working on, and they are introducing new data protection regulatory frameworks based on Western initiatives such as the General Data Protection Regulation (GDPR). Embedding global reforms such as Basel III requirements is also adding to their work.
- Growing AML/CFT concerns
High-profile money laundering cases such as the 1MDB scandal in Malaysia and the compliance breaches at Australia’s Westpac bank have forced regulators to become
more stringent with their scrutiny. They have increased regulatory reporting requirements and increased pressure on financial institutions to determine beneficial ownership and improve overall screening requirements.
This will undoubtedly lead to significantly high compliance costs for financial institutions. The projected cost of AML compliance across Indonesia, Malaysia, the Philippines, and Singapore combined is estimated at US$ 6.09 billion annually, with more than half of it in Singapore. With compliance costs rising, financial institutions are expected to turn to regtech solutions that can manage AML compliance in a cost-effective manner.
- New entrants and latest tech
New players are entering the market with next-generation regtech solutions that are not only cost-effective and easy to deploy but provide faster time to value. Cloud computing has become a new norm in many Asian countries, leading to the emergence of many Saas/PaaS Regtech players. Application Programming Interfaces (APIs) have gone into the mainstream and Regtech firms have been quick to add the model to their business.
Regtech solutions based on artificial intelligence/machine learning (AI/ML) are rising to prominence. Even if AI/ML is not yet regulated as technology, some governments are promoting their use for regulatory compliance and are creating frameworks to use AI/ML responsibly. For example, the Monetary Authority of Singapore (MAS) is working with the financial industry on an Artificial Intelligence Data Analytics (AIDA) framework. Such initiatives would augur well for the uptake of AI-based Regtech solutions.
Tookitaki: Regtech with a unique approach
Maintaining compliance has become difficult for the APAC region due to its frequent nature of moving funds across borders.
The region also suffers from increasing occurrences of financial crimes as a large number of the unbanked population adopts digital payments, making it harder for financial institutions to track capital flows. Therefore, regulators themselves are looking to capitalise on innovation and are encouraging others to try, test and adopt new-age Regtech solutions.
While Regtech is turning out to be a must-have rather than a good-to-have for financial institutions to manage their risk, Tookitaki, an Asian Regtech provider, and its next-gen solutions powered by AI/ML help financial institutions build and implement futuristic compliance programs in a faster and cost-effective manner.
To know more about our solutions and request a demo, please contact us.
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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?
Instant Payments, Instant Threats: The New Face of Laundering in Singapore
Singapore has long been a regional hub for financial innovation. But with innovation comes risk — and a recent case involving OCBC and suspected scam syndicates has raised new concerns about how real-time payment systems are being misused for laundering illicit funds. As financial institutions race to offer seamless customer experiences, compliance teams must reckon with the unintended consequences of speed and scale in digital payments.
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What Happened: OCBC and the Scam Syndicate Probe
In May 2024, OCBC Singapore confirmed its involvement in a case where law enforcement was investigating multiple individuals for facilitating scam-related transactions. The individuals were believed to have abused real-time fund transfers via OCBC accounts to enable large-scale money laundering for criminal networks. The bank worked closely with authorities, providing transaction data and account activity insights as part of the investigation.
While OCBC was not accused of wrongdoing, the case shed light on how even strong compliance systems can be circumvented when criminals exploit the instant, anonymous, and high-frequency nature of digital transfers.
Impact on Global Finance
This incident is not just a domestic compliance concern — it’s a wake-up call for banks across the region and beyond.
- Global Interconnectedness: In a world of interoperable payment rails and open banking APIs, the misuse of Singapore-based accounts can enable cross-border laundering activities across ASEAN and beyond.
- Increased Regulatory Pressure: Regulators are taking a tougher stance on instant payments. MAS has reiterated the importance of real-time monitoring tools and collaborative data sharing to combat fraud and financial crime.
- Reputational Risk: Incidents like this can erode institutional trust. Singapore has a reputation as a well-regulated financial centre — and banks operating here are expected to go beyond basic compliance to safeguard that trust.
Red Flags and Laundering Tactics in Real-Time Payments
The AFC Ecosystem community has extensively studied real-time payment laundering typologies and found common techniques that criminals rely on:
- QR Code Obfuscation: Criminals embed QR payments within fake e-commerce or empty package delivery schemes to justify fund flows.
- Money Mule Recruitment: Syndicates exploit students, gig workers, and low-income groups to open accounts used for laundering.
- Smurfing at Speed: Instant payments allow layering within seconds across multiple accounts, making tracking difficult.
- Shell Account Structuring: Using prepaid cards, utility accounts, or fake merchant profiles to disperse and reintegrate proceeds.
These methods allow syndicates to create a smokescreen of legitimate-looking transactions that bypass legacy transaction monitoring systems.
Role of Technology in Preventing Future Scandals
Technology must evolve as fast as the financial crime tactics it’s trying to stop. Here’s how institutions can respond:
- Real-Time AI Monitoring: AI-powered transaction monitoring tools that detect velocity, anomalies, and behavioural deviations are no longer optional — they’re essential.
- Federated Intelligence Sharing: Platforms like Tookitaki’s AFC Ecosystem enable banks to tap into collective insights on emerging typologies without compromising data privacy.
- Typology-Based Detection: Monitoring systems must go beyond rules and thresholds. They must ingest real-life scenarios (e.g., QR laundering via empty package schemes) and detect transaction flows that match known patterns.
- Integrated KYC & Risk Scoring: Identity verification must be continuously evaluated, especially for new accounts with sudden activity bursts.
Moving Forward: Learning from the Past, Preparing for the Future
The OCBC incident is a reminder that even strong banks in tightly regulated jurisdictions are not immune. But it’s also an opportunity to rethink how financial institutions tackle fraud and AML in the era of instant payments.
- Collaboration is Key: Financial crime is no longer a siloed problem. Banks, fintechs, regulators, and technology providers must collaborate across borders and platforms.
- Speed ≠ Safety: Instant payments should come with instant safeguards. The speed of money should be matched by the speed of detection.
- Scenario-Led Compliance: A one-size-fits-all rulebook won’t work. Institutions need dynamic compliance systems that reflect real-world typologies contributed by expert communities.
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Final Thoughts
Real-time payment systems are a double-edged sword — offering convenience on one side and risk on the other. The only way to stay ahead is by combining advanced technology, cross-border intelligence, and scenario-led compliance. Tookitaki’s FinCense platform, powered by the AFC Ecosystem, helps financial institutions do just that — with federated AI that continuously evolves to detect new laundering methods faster and more accurately.
The fight against financial crime is real-time. Our defences should be too.
FATF Grey List Shakeup: Laos and Nepal In, Philippines Out
The FATF’s latest grey list update is reshaping financial compliance priorities across Asia, with Laos and Nepal in—and the Philippines out.
Announced in February 2025, this high-stakes shift underscores a growing focus on risk governance, transparency, and regulatory enforcement—particularly in rapidly developing economies.
Whether you’re a compliance lead, fintech founder, or risk officer in APAC, this change raises critical questions: What triggered these decisions? What lessons can be learned from the Philippines’ exit? And how should institutions recalibrate their AML strategies in light of FATF’s evolving lens?
In this article, we break down what the latest grey list update means, how it impacts financial institutions, and how you can stay ahead of the next jurisdictional shift.
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What Is the FATF Grey List?
The FATF grey list, officially called the list of jurisdictions under increased monitoring, highlights countries that are actively working with FATF to address strategic deficiencies in their AML/CFT (Anti-Money Laundering and Countering the Financing of Terrorism) regimes.
Greylisting doesn’t mean a country is unsafe or non-cooperative. Instead, it indicates that a jurisdiction has weaknesses in its AML/CFT systems but has committed to resolving them within a set timeframe under FATF supervision.
What Are the Impacts of Greylisting?
- De-risking by global banks and investors
- Tighter scrutiny for cross-border transactions
- Higher due diligence requirements for financial institutions
- Damage to the country’s financial credibility and access to funding
Why Laos and Nepal Were Added in 2025
Laos: Emerging Market, Growing Risk
Laos has seen increased digitisation in its financial sector, but it remains vulnerable to cross-border financial crime, particularly through informal value transfer systems and loosely regulated sectors.
FATF Likely Flagged:
- Inadequate regulation of Virtual Asset Service Providers (VASPs)
- Weak Suspicious Transaction Reporting (STR) frameworks
- Limited transparency around beneficial ownership
- Cross-border risks linked to trade, casinos, and real estate
Nepal: Informality Meets Inattention
Nepal’s dependence on informal remittance corridors and a cash-heavy economy make it a prime candidate for enhanced monitoring.
FATF Concerns Likely Included:
- Weak enforcement of Customer Due Diligence (CDD) standards
- Lack of oversight for DNFBPs (Designated Non-Financial Businesses and Professions)
- Outdated regulatory enforcement and weak supervision
- Poor implementation of targeted financial sanctions
Both countries must now implement time-bound action plans and undergo closer scrutiny from international partners.
The Philippines: From Greylisted to Compliant
After being added to the FATF grey list in June 2021, the Philippines was officially removed in February 2025, following significant improvements across legislation, supervision, and enforcement.
What the Philippines Got Right:
- Established the National Anti-Money Laundering Coordinating Committee (NACC)
- Strengthened AML laws, including the Anti-Terrorism Act of 2020 and FIST Act
- Boosted monitoring of offshore gaming operators, MSBs, and DNFBPs
- Deployed regtech and AI-driven solutions for transaction monitoring
The Philippines' removal demonstrates that FATF listing can be a powerful motivator for change—and that exit is achievable with cross-sector collaboration.
Why This Matters for Financial Institutions
Whether or not your institution operates in Laos, Nepal, or the Philippines, FATF updates are a reminder of the global nature of compliance risk.
Key Impacts:
- Enhanced Due Diligence on clients and transactions involving greylisted jurisdictions
- Recalibration of Risk Scoring Models to reflect changes in country risk profiles
- Correspondent Banking Disruption, especially for cross-border remittances
- Increased Reporting and documentation obligations for flagged activity
Tookitaki's Role in Navigating Greylist Complexity
At Tookitaki, we help financial institutions stay ahead of evolving compliance obligations through intelligent, scalable technology that adapts to FATF expectations.
Our Platform: FinCense
- Scenario-Based Transaction Monitoring with real-time country risk adjustments
- AI-Driven Alert Optimisation to reduce false positives and highlight high-risk activity
- Built-In Typologies contributed by AML experts from across the AFC Ecosystem
- Cross-Border Risk Mapping that flags exposure to greylisted jurisdictions
Whether you operate in a FATF-listed country or do business with one, Tookitaki enables faster response, better decision-making, and audit-ready compliance.
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Lessons from the FATF Grey List Shakeup
For Compliance Teams:
- Update transaction monitoring rules to reflect FATF changes
- Train analysts on new jurisdictional risks
- Use country risk as a dynamic input in risk scoring and alert escalation
For Regulators and Policymakers:
- Benchmark against the Philippines' success story
- Embrace regtech solutions that support real-time adaptation
- Encourage cross-border collaboration and data sharing
Conclusion: Real-Time Compliance for a Real-Time World
The FATF grey list is a dynamic reminder that compliance is not static. With Laos and Nepal now under watch and the Philippines proving that reform is possible, the pressure is on for institutions to respond quickly and proactively.
Tookitaki's technology was built to power that response—turning complex risk into actionable intelligence, and regulatory pressure into an opportunity to lead.
In a world where reputation, trust, and regulation intersect, smart compliance isn't just about avoiding penalties. It's about enabling financial institutions to thrive in the face of uncertainty.
Stay ahead. Stay trusted.
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.
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?
The Benefits of Using Tookitaki's Solution for AML Compliance in Thailand
In today's global financial landscape, anti-money laundering (AML) compliance plays a crucial role in ensuring the integrity of financial systems and preventing illicit activities. As a growing hub for international business and finance, Thailand recognises the significance of AML compliance in maintaining a secure and trustworthy financial environment. Compliance with AML regulations is a legal obligation and a means to protect financial institutions, customers, and the overall economy from the risks associated with money laundering and financial crime.
Tookitaki has emerged as a prominent provider of AML compliance solutions, empowering financial institutions in Thailand and across the globe to tackle the challenges of financial crime effectively. With their innovative technology and expertise in AML compliance, Tookitaki offers comprehensive solutions that enhance detection, reduce false positives, and streamline compliance processes.
By leveraging advanced technologies, Tookitaki enables financial institutions to stay ahead of evolving threats and confidently maintain regulatory compliance. Their commitment to excellence and customer-centric approach make them a trusted partner for organisations striving for robust AML compliance in Thailand.
AML Compliance Landscape in Thailand
Overview of the Regulatory Framework for AML in Thailand
Thailand has implemented a comprehensive regulatory framework to combat money laundering and financial crime. Key regulatory bodies and guidelines include:
- Anti-Money Laundering Office (AMLO): The primary authority responsible for implementing AML policies and regulations in Thailand.
- Anti-Money Laundering Act (AMLA): Legislation that sets out the legal framework for AML compliance and enforcement.
- Know Your Customer (KYC) Regulations: Guidelines that require financial institutions to verify customer identities, assess risk profiles, and conduct due diligence.
- Reporting Obligations: Requirements for financial institutions to report suspicious transactions and adhere to transaction monitoring practices.
Challenges Faced by Financial Institutions in Achieving AML Compliance
Financial institutions operating in Thailand encounter several challenges in achieving AML compliance, including:
- Evolving Regulatory Landscape: Adapting to changing AML regulations and guidelines can be a daunting task for financial institutions, as it requires a significant amount of resources, time, and effort. Regulations and guidelines are constantly evolving, and it can be challenging to keep up with the changes and ensure that compliance measures are up-to-date. Additionally, compliance teams must navigate a complex web of regulations and guidelines issued by various regulatory bodies, making compliance a multifaceted and intricate process.
- High False Positive Rates: Traditional AML systems often generate a high volume of false positives, resulting in increased manual effort and operational costs. False positives can occur due to various reasons, such as outdated technology, insufficient data analysis, or rigid rule-based systems that fail to adapt to changing circumstances. These false alerts not only add to the workload of compliance teams but also increase the risk of missing genuine threats. Furthermore, manually reviewing each alert can be time-consuming and costly, leading to delays in investigations and potentially putting the institution at risk of regulatory penalties.
- Rapidly Evolving Financial Crimes: Financial criminals are constantly evolving their tactics to stay ahead of AML systems. They are becoming increasingly sophisticated in their methods, utilizing complex networks of shell companies, cryptocurrencies, and other innovative techniques to hide their illicit activities. This requires financial institutions to be proactive in their approach to AML compliance and stay ahead of emerging threats.
- Resource Constraints: Financial institutions operating in today's dynamic market face a plethora of challenges, including resource constraints. The shortage of skilled personnel, outdated technology infrastructure, and limited financial resources can impede the institution's ability to effectively combat money laundering and financial crime. The hiring and retention of skilled compliance professionals can be costly and challenging, while outdated technology infrastructure can limit the institution's ability to leverage advanced technologies like machine learning. Additionally, limited financial resources can result in budget constraints, preventing the institution from investing in the latest AML solutions.
The Need for Effective and Efficient AML Solutions in the Thai Market
Given the challenges financial institutions face, there is a pressing need for effective and efficient AML solutions in the Thai market. These solutions should offer the following:
- Enhanced Detection Accuracy: AML solutions must leverage advanced technologies like machine learning to improve detection accuracy and reduce false positives.
- Streamlined Compliance Processes: Automation and intelligent workflows can help streamline compliance processes, minimizing manual effort and improving operational efficiency.
- Regulatory Compliance: AML solutions should align with the Thai regulatory framework, enabling financial institutions to meet their compliance obligations.
- Scalability and Adaptability: Solutions should be scalable to accommodate business growth and adaptable to evolving AML regulations and emerging financial crime trends.
Tookitaki's AML compliance solutions address these needs, providing financial institutions in Thailand with the tools and capabilities necessary to overcome AML compliance challenges effectively.
Tookitaki's AML Solution for Thailand
Tookitaki offers a comprehensive AML solution -- the Anti-Money Laundering Suite (AML Suite) -- that empowers financial institutions in Thailand to combat money laundering and financial crime effectively. Its solution combines advanced machine learning algorithms, data analytics, and automation to enhance detection accuracy, streamline compliance processes, and ensure regulatory compliance.
The AML Suite operates as an end-to-end operating system, covering various stages of the compliance process, from initial screening to ongoing monitoring and case management. Banks and fintechs can achieve a seamless workflow, eliminate data silos, and ensure consistent compliance across different modules by having a cohesive and integrated system. The end-to-end approach enhances operational efficiency, reduces manual efforts, and facilitates a more holistic view of AML compliance, enabling financial institutions to stay ahead of evolving risks.
Modules within the AML Suite
Smart Screening Solutions
- Prospect Screening: This module enables real-time screening capabilities for prospect onboarding. By leveraging smart, AI-powered fuzzy identity matching, it reduces regulatory compliance costs and exposure to risk. Prospect Screening helps financial institutions detect and prevent financial crime by screening potential customers against various watchlists, including sanctions lists, PEP databases, and adverse media. The solution provides efficient and streamlined screening processes, reducing false positive hits and assisting compliance specialists in various scenarios.
- Name Screening: Tookitaki's Name Screening solution utilizes machine learning and Natural Language Processing (NLP) techniques to accurately score and distinguish true matches from false matches across names and transactions, in real-time and batch mode. The solution supports screening against sanctions lists, PEPs, adverse media, and local/internal blacklists, ensuring comprehensive coverage. With 50+ name-matching techniques, support for multiple attributes like name, address, gender, and a built-in transliteration engine, Name Screening provides razor-sharp matching accuracy. The state-of-the-art real-time screening architecture reduces held transactions and improves straight-through processing (STP) for a seamless customer experience.
Dynamic Risk Scoring
- Prospect Risk Scoring: Prospect Risk Scoring (PRS) is a powerful solution that enables financial institutions to onboard prospects with reduced regulatory compliance costs and risk exposure. By defining a set of parameters that correspond to the rules, PRS offers real-time risk scoring capabilities. Financial institutions can leverage PRS to take initial scope, including factors such as address, nationality, gender, occupation, monthly income, and more, into account for risk scoring. The configurable scores for risk categories allow financial institutions to streamline the prospect onboarding process, make informed decisions, and mitigate risks effectively.
- Customer Risk Scoring: Tookitaki's Customer Risk Scoring (CRS) is a core module within the AML Suite, powered by advanced machine learning. CRS provides scalable customer risk rating by dynamically identifying relevant risk indicators across a customer's activity. The solution offers a 360-degree customer risk profile, continuous on-demand risk scoring, and perpetual KYC for ongoing due diligence. With actionable insights based on customer risk scores, financial institutions can make accelerated and informed decisions, ensuring effective risk mitigation.
Transaction Monitoring
Tookitaki's Transaction Monitoring solution is the most comprehensive in the industry, utilizing a first-of-its-kind industry-wide typology repository and AI capabilities. It provides comprehensive risk detection and efficient alert management, offering 100% risk coverage and the ability to detect new suspicious cases. The solution includes automated threshold management, reducing the manual effort involved in threshold tuning by over 70%. With superior pattern-based detection techniques, leveraging typologies that represent real-world red flags, Transaction Monitoring helps financial institutions safeguard against new risks and threats effectively.
Case Manager
The Case Manager within Tookitaki's AML Suite provides compliance teams with a collaborative platform to work seamlessly on cases. The Case Manager includes automation that empowers investigators by automating processes such as case creation, allocation, and data gathering. Financial institutions can configure the Case Manager to improve operational efficiency, reduce manual efforts, and enhance overall effectiveness in managing and resolving cases.
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Ensuring Compliance with Thai Regulatory Requirements
Tookitaki's solution is designed to align with the regulatory framework and requirements set by the Anti-Money Laundering Office (AMLO) and the Anti-Money Laundering Act (AMLA) in Thailand. By using Tookitaki's solution, financial institutions can ensure adherence to these regulations, reducing compliance risks and potential penalties.
Overall, the benefits of using Tookitaki's solution for AML compliance in Thailand extend beyond improved detection accuracy and streamlined processes. Financial institutions can achieve significant cost savings, optimize resource allocation, and maintain compliance with Thai regulatory requirements, enabling them to effectively combat money laundering and protect their operations and customers from financial crime risks.
Final Thoughts
Tookitaki's solution offers numerous advantages for financial institutions seeking robust AML compliance in Thailand. The benefits include enhanced detection accuracy, streamlined compliance processes, cost savings, and ensuring adherence to Thai regulatory requirements. By leveraging Tookitaki's advanced technology, financial institutions can effectively combat money laundering and financial crime while optimizing operational efficiency and resource allocation.
In today's dynamic and rapidly evolving financial landscape, traditional approaches to AML compliance are no longer sufficient. Financial institutions must harness the power of advanced technology to stay ahead of emerging threats and meet regulatory obligations effectively. Tookitaki's innovative solution combines machine learning, data analytics, and automation to provide comprehensive AML compliance capabilities tailored to the specific needs of the Thai market.
Tookitaki is a trusted partner for financial institutions in Thailand, offering cutting-edge AML compliance solutions. Financial institutions are encouraged to explore Tookitaki's solution further, understand its features and benefits, and book a demo to experience firsthand how it can transform their AML compliance processes. By leveraging Tookitaki's solution, financial institutions can strengthen their defence against money laundering, protect their reputation, and safeguard their customers and the financial ecosystem in Thailand.
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Tookitaki: Reflecting on a Transformative 2024
As we close out 2024, it’s time to reflect on a year of remarkable achievements and progress. From driving innovation to deepening partnerships and expanding our reach across Asia-Pacific and beyond, Tookitaki has continued to evolve with a steadfast commitment to its mission of building trust in financial services.
In an increasingly complex financial crime landscape, our ability to innovate and adapt has strengthened our position as a trusted partner to institutions navigating these challenges. Here’s a look back at the milestones that defined Tookitaki’s journey in 2024.
1. 2024: A Year of Evolution
This year was defined by resilience, innovation, and growth as Tookitaki strengthened its leadership in anti-money laundering (AML) and fraud prevention. With financial crime becoming increasingly sophisticated, we continuously evolved our solutions to address the complex needs of financial institutions across Asia and beyond.
Tookitaki emerged as a category leader in Watchlist Screening, Enterprise Fraud, Payment Fraud, and AML TM Quadrants of Chartis, underscoring the depth and maturity of our FinCense platform. We also received accolades from Juniper Research (Banking Fraud Prevention Innovation 2024) and Regulation Asia - Best Transaction Monitoring Solution (Fraud & Financial Crime Category), Asian Banking and Finance Award (Winner of the AI-Powered Analytics and RegTech Initiative Award) and were honoured by the prestigious ASEAN Business Advisory Council at the ASEAN Business Awards 2024.
These recognitions validate our unique approach of combining collaborative intelligence from the AFC Ecosystem with the Federated AI capabilities of FinCense. By enabling financial institutions to leverage real-world scenarios while safeguarding data privacy, we have empowered them to adapt to evolving financial crime threats more effectively and at scale.
2. Commitment to Our Mission
At Tookitaki, our mission is to build trust in financial services by enabling institutions to combat fraud and meet AML compliance standards effectively.
In 2024, we significantly enhanced our platform to address critical threats such as account takeovers, mule networks, scams, and the misuse of shell companies. These advancements have equipped institutions to confidently navigate complex regulatory landscapes while strengthening trust with their stakeholders. As a testament to our impact, Tookitaki is now a partner of choice for at least one of the top three financial institutions in most Asia-Pacific countries.
3. Key Innovations and Technology
Innovation drives everything we do at Tookitaki. This year, we introduced critical advancements to address evolving challenges:
- FinCense Platform: We delivered major enhancements in dynamic risk scoring, real-time fraud detection, and enhanced regulatory reporting, equipping institutions with tools to streamline compliance workflows and stay ahead of emerging threats.
- Infrastructure Upgrades: This year, we made transformative enhancements to our FinCense platform, cutting deployment time by 50% through streamlined processes and standardisation. Reliability has been boosted to 99.95% uptime using a containerised microservices architecture, ensuring seamless operations. To further optimise efficiency, we introduced dynamic resource scaling and decoupled storage and computing, minimising infrastructure requirements even during peak periods.
These innovations empower our clients to build proactive, scalable compliance systems that adapt to the fast-changing financial crime landscape.
4. Compliance-as-a-Service: Enabling Scalable, Seamless Compliance
We launched Compliance-as-a-Service (CaaS) in 2023 to complement our on-premise deployment, offering financial institutions a flexible and scalable alternative. This year, CaaS gained significant momentum, with client go-live rates increasing by 50% in H2 compared to H1, reflecting its growing adoption and trust across the region.
We are leveraging our strategic partnerships with AWS and Google Cloud Platform (GCP) to deliver CaaS solutions across Asia-Pacific and Saudi Arabia, ensuring robust compliance infrastructure tailored to regional needs. This progress marks a pivotal shift as larger banks are increasingly embracing CaaS as their preferred compliance framework.
5. Client Milestone
This year, Tookitaki solidified its leadership in Asia-Pacific, working with at least one of the top three financial institutions in most countries across the region. Our partnerships with industry leaders such as UOB (Singapore), Maya Bank (Philippines), Fubon Bank (Taiwan), AEON Bank (Malaysia), GXS Bank (Singapore), and Tencent (Singapore) reflect the trust placed in us to address critical compliance challenges.
These collaborations highlight Tookitaki’s growing influence in delivering cutting-edge compliance solutions tailored to the needs of some of the most prominent institutions in Asia.
6. Community of Innovators
The AFC Ecosystem embodies the power of collaboration in fighting financial crime. Tookitaki continued to lead industry collaboration through its AFC Ecosystem, fostering a community of AML and fraud prevention specialists and financial institutions to collectively combat financial crime.
In 2024, we hosted knowledge-sharing initiatives to address emerging crime typologies. We expanded our scenario library significantly, enabling financial institutions to detect and mitigate emerging threats proactively. We grew our consortium by joining associations like ABCOMP, Fintech Philippines Association, FinTech Association of Hong Kong, Fintech Association of Malaysia (FAOM), and AICB, building one of the largest communities for financial crime prevention in Asia.
Also, our AFC Ecosystem community delivered unparalleled value this year, contributing a new financial crime scenario every second day.
7. Strategic Partnerships
Collaboration has been a cornerstone of our success. This year, Tookitaki further expanded its extensive partner ecosystem to better meet the bespoke compliance needs of financial institutions across the Asia-Pacific region. By deepening our collaboration with key advisory partners like Arthur D. Little, SIA and strengthening cloud partnerships with AWS and Google Cloud Platform (GCP), we have enhanced our ability to deliver tailored solutions at scale.
These partnerships ensure we can deliver tailored, scalable, and region-specific solutions, empowering institutions to address complex financial crime challenges with greater efficiency.
8. Fueling Innovation: New Investments, Deeper Commitments
Earlier this year, we welcomed TGV as a new investor, marking a significant milestone in our journey to revolutionise compliance. This investment strengthens our ability to scale operations, advance our technology, and tackle the evolving challenges of financial crime with precision and agility. It reflects the trust and confidence of our partners and stakeholders in Tookitaki’s vision to build resilient and scalable compliance solutions that address the most pressing compliance challenges of today and tomorrow.
Closing Note
To our clients, partners, and stakeholders: thank you for being an integral part of this journey. Together, we are building the Trust Layer for Financial Services, reshaping the way financial systems combat crime while building resilience. This mission is more than a vision—it’s a shared responsibility that inspires us every day. Here’s to a 2025 filled with innovation, collaboration, and a safer financial ecosystem for all!
