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Account Reconciliation Explained with Types

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Tookitaki
09 Sep 2020
5 min
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What is data reconciliation?

Data reconciliation (DR) is a term that describes a phase of a data migration in which the target data is compared to the original source data to ensure that the migration architecture has correctly transferred the data.

Reconciliation means comparing different sets of data in order to check that they are in agreement. The process ensures that the data sets are correct, comparable and matching. In the world of finance and accounting, businesses need to ensure the validity of their transactions and the accuracy of company accounts. For this purpose, they reconcile their various accounts at the end of a particular accounting period and confirm their balances.

Account reconciliation is important for any business to prove or document its account balance. Periodic account reconciliation will help find discrepancies in transactions or amounts if any. These discrepancies (also called breaks) are investigated further and necessary corrections are made in the accounts to ensure correct balances.

Different types of reconciliation in accounting

It’s easier to understand account reconciliation by taking a closer look at some common reconciliation examples. There are five main types of account reconciliation: bank reconciliation, customer reconciliation, vendor reconciliation, inter-company reconciliation and business-specific reconciliation. Let’s explore each one of them in detail.

What is bank reconciliation?

Bank reconciliation or bank statement reconciliation is the process of verifying the bank balance in a business’ books of account by comparing them with the statement of account issued by its bank (called the bank reconciliation statement). Bank reconciliation is a type of internal control used by many companies to verify the integrity of data between the bank records and their official records. Here, each and every transaction in the bank statement is compared with the company’s internal records (normally cash account) to check both records are matching. Here are some commonly seen issues that result in mismatches in records:

  • Issued cheques have not been presented to the bank or the bank has dishonored a cheque.
  • A banking transaction (eg. credit received, bank fees, penalties) has not yet been recorded in the entity’s books
  • Either the bank or the entity made an error while entering records.

Periodic bank reconciliation is important to spot missed payments and calculation mistakes. It will also help identify theft and fraud and track accounts payables and receivables. Depending on the volume of transactions, entities can choose to do bank reconciliation on a daily, weekly or monthly basis.

Vendor reconciliation

Vendor reconciliation is defined as the reconciliation of accounts payable for a vendor with the statement provided by the particular vendor. Here, an entity reconciles vendor balance in its books of accounts with the balance in the books of the vendor. It ensures that there are no discrepancies or mistakes in the amount a vendor charges an entity and the goods or services the entity receives from the vendor. The steps in vendor reconciliation are:

  • Getting a statement of account from the vendor. The statement must have invoice-wise detail of each transaction.
  • Comparing the statement with the vendor accounts as per the entity’s books of account.
  • Adjusting for any difference, which should be separately shown in the reconciliation statement.

 

Customer reconciliation

In customer reconciliation or accounts receivable reconciliation, an entity compares the outstanding customer balance or bills to the accounts receivable as entered in its general ledger. Customer reconciliation statement acts as proof that there is no material inaccuracy in the accounts of the company. It helps unveil any error or irregularities in customer-related accounting. It will also help identify fraudulent activity pertaining to accounts receivable.

A part of account closing activity, customer reconciliation is normally conducted at the end of the month before an entity issues monthly financial statements. If any irregularity is identified while doing customer reconciliation, it should be corrected on time before preparing monthly financial statements.

Inter-company reconciliation

Intercompany reconciliation is the process in which a parent company consolidates all the general ledgers of its subsidiaries in order to eliminate intercompany flows. The process identifies possible mismatches between subsidiaries due to mistakes in invoicing and other transactions such as loans, deposits and interests. This is important to normalize an increase in assets, liabilities, income and expenses of group companies arising out of intercompany transactions. It also helps minimize bank transaction fees, optimize liquidity, and reduce financial and currency costs as well as risks. The process will also identify any unrecorded transactions or balances on the books group companies.

Business-specific reconciliation

In addition to the above-mentioned reconciliation types, every business needs to prepare other reconciliations based on specific needs. Costs of Goods reconciliation is a good example here. A business that has any form of inventory should prepare this reconciliation statement to match balances on the cost of goods sold account calculated using two methods:

Cost of goods sold = Opening Stock + Purchases – Closing Stock

Cost of goods sold = Sale – Profit

These two methods of calculation should lead to the same amount. If not, records are to be investigated to find out reasons for imbalance.

Other account reconciliations

Given below are some other reconciliation types that we normally come across in the financial world.

Credit card reconciliation

Credit card reconciliation is similar to bank account reconciliation. Here, an organisation matches credit card receipts with credit card statements issued by a financial institution. It helps institutions ensure that the amount billed in the credit card statement matches with actual payments. If the credit card company has committed any error, it should be reported and rectified.

Balance sheet reconciliation

Balance sheet reconciliation is the process of matching the closing balances of all the accounts of the company that forms part of the company’s balance sheet. It is done to ensure that entries used to reach the closing balances are entered and classified accurately so that balances in the balance sheet are appropriate.

Cash reconciliation

It is the process of verifying if the amount of cash in a cash register matches the actual cash on hand at the end of a business day. Cash reconciliation compares cash balance and cash receipts with one another. It is an effective tool to detect employee theft or incorrect accounting records. It also helps improve cash forecasting with an accurate view of business cash balances.

Modern technology in reconciliation

The types of reconciliation mentioned above has a unique workflow. There are many rule-based reconciliation solutions that are heavily customised to meet each of the needs. However, they have the following drawbacks:

  • Adding new data sources may require a large amount of reengineering work. New regulatory standards such as Basel III and MiFID II have significantly changed the scope of reconciliation, mandating financial institutions to reconcile data stretching to more than 65 fields.
  • Rules-based record matching may not always work with new asset types (in financial services) and deals involving complicated calculations.
  • While RPA solutions could handle matching, exceptions/breaks management is still laborious and costly. Many organizations are finding it difficult to resolve breaks on time and meet compliance standards.

There are also new-age reconciliation solutions that can handle any account reconciliation with ease and accuracy. As in the case of any other processes, AI and machine learning are revolutionizing the way businesses reconcile data. A fully automated end-to-end reconciliation solution is the need of the hour to manage the pain points of traditional reconciliation professionally. 

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30 Sep 2025
6 min
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Transaction Monitoring Software Vendors: Choosing the Right Partner for Philippine Banks

The right vendor is not just selling software, they are safeguarding your institution’s future.

In the Philippines, the pressure to fight financial crime is mounting. The exit from the FATF grey list in 2024 signaled progress, but also raised expectations for financial institutions. Banks, fintechs, and remittance companies are now required to show that they can identify suspicious activity quickly and accurately. At the heart of this challenge is transaction monitoring software. And choosing the right vendor is as important as the technology itself.

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Why Transaction Monitoring Matters More Than Ever

Transaction monitoring enables financial institutions to detect unusual or suspicious activity in real time or through batch analysis. It flags patterns such as structuring, round-tripping, or high-risk cross-border flows that may signal money laundering or fraud.

In the Philippines, several factors make monitoring critical:

  • Large remittance inflows vulnerable to structuring and layering.
  • High fintech adoption with e-wallets and digital banks processing instant payments.
  • Cross-border risks as syndicates exploit correspondent banking channels.
  • Heightened regulatory oversight from the BSP and AMLC.

For institutions, the right transaction monitoring system can be the difference between meeting compliance standards and facing regulatory penalties.

The Role of Transaction Monitoring Software Vendors

Software alone is not enough. Vendors provide the platforms, expertise, and ongoing support that make monitoring effective. A vendor is not just a provider, they are a partner in compliance. Their responsibilities include:

  • Developing adaptive monitoring technology.
  • Ensuring local regulatory alignment.
  • Offering integration with core banking systems.
  • Providing training and customer support.
  • Continuously updating typologies and detection rules.

The choice of vendor directly impacts both compliance outcomes and operational efficiency.

What to Look For in Transaction Monitoring Software Vendors

When evaluating vendors in the Philippines, institutions should consider several factors:

1. Regulatory Alignment

Vendors must demonstrate familiarity with BSP and AMLC requirements, including STR filing standards, risk-based monitoring, and audit readiness.

2. Technology and Innovation

Modern systems should offer AI-driven monitoring, machine learning for anomaly detection, and explainability to satisfy regulators.

3. Local and Regional Expertise

Vendors should understand the Philippine market as well as regional risks such as cross-border laundering and remittance abuse.

4. Integration Capabilities

Seamless integration with legacy banking infrastructure is essential to ensure a single view of customer activity.

5. Scalability

Solutions should support institutions of different sizes, from rural banks to major commercial players.

6. Customer Support and Training

Strong after-sales support ensures that compliance teams can use the software effectively.

7. Collaborative Intelligence

The ability to share typologies and scenarios across banks without compromising data privacy enhances overall industry defences.

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How Vendors Help Address Philippine Money Laundering Typologies

Top vendors ensure their systems detect common schemes in the Philippines:

  • Remittance Structuring detected through repeated small-value transfers.
  • Shell Companies exposed via unusual business-to-business transactions.
  • Casino Laundering flagged through inconsistent deposit and withdrawal patterns.
  • Trade-Based Laundering identified through mismatched invoices and payments.
  • Terror Financing uncovered through frequent low-value transfers to high-risk geographies.

Challenges in Choosing Transaction Monitoring Vendors

Selecting the right vendor is not straightforward. Institutions face obstacles such as:

  • Vendor Lock-In: Some vendors limit flexibility by tying institutions to proprietary technology.
  • High Implementation Costs: Advanced solutions can strain budgets of smaller institutions.
  • Complex Integration: Connecting to legacy core banking systems can delay deployment.
  • Skill Gaps: Compliance teams may lack experience with sophisticated monitoring platforms.
  • Evolving Threats: Vendors that fail to update systems regularly leave institutions exposed.

Best Practices for Selecting a Vendor

  1. Conduct a Needs Assessment
    Identify specific risks, regulatory requirements, and resource constraints before shortlisting vendors.
  2. Evaluate Proof of Concept (POC)
    Run test cases with vendors to see how their systems perform against real scenarios.
  3. Prioritise Explainability
    Choose vendors that offer systems with clear reasoning behind flagged alerts.
  4. Check Industry References
    Look for testimonials or case studies from other Philippine or ASEAN banks.
  5. Focus on Partnership, Not Just Product
    A strong vendor offers training, updates, and support that extend beyond installation.

Global vs Local Vendors: Which Is Better?

Philippine institutions often face a choice between global and local vendors. Each has strengths:

  • Global Vendors bring advanced AI, scalability, and a track record across markets. However, they may lack local context or flexibility.
  • Local Vendors understand BSP and AMLC regulations and the Philippine market intimately, but may lack the resources or innovation speed of global players.

The best choice often depends on institution size, complexity, and risk appetite. Hybrid approaches, such as global technology with local implementation support, are increasingly popular.

The Tookitaki Advantage: A Vendor with a Difference

Tookitaki’s FinCense is more than just a transaction monitoring solution. It is built as a trust layer for financial institutions in the Philippines.

Why Tookitaki stands out among vendors:

  • Agentic AI-Powered Detection that adapts to new laundering and fraud typologies.
  • Federated Intelligence from the AFC Ecosystem, offering insights contributed by global compliance experts.
  • False Positive Reduction through behavioural analytics and adaptive thresholds.
  • Smart Disposition Engine that automates investigation summaries for STR filing.
  • Explainable Outputs aligned with BSP and AMLC expectations.
  • Proven Regional Experience with banks and fintechs across Asia-Pacific.

As a vendor, Tookitaki does not just deliver software. It partners with institutions to build resilient compliance frameworks that evolve with threats.

Conclusion: Choosing Vendors as Compliance Allies

In the Philippines, the stakes for compliance have never been higher. Choosing the right transaction monitoring software vendor is not just a procurement decision, it is a strategic move that defines an institution’s ability to fight financial crime.

The best vendors combine advanced technology with local expertise, strong support, and a collaborative mindset. They help banks move beyond compliance checklists to build trust, resilience, and growth.

Philippine institutions that partner with the right vendor today will not only meet regulatory requirements but also set the foundation for sustainable, secure, and customer-centric banking in the digital age.

Transaction Monitoring Software Vendors: Choosing the Right Partner for Philippine Banks
Blogs
30 Sep 2025
6 min
read

AML Vendors in Australia: Choosing the Right Partner for Compliance in 2025

With AUSTRAC raising expectations, Australian banks and fintechs need AML vendors who can deliver real-time, AI-driven compliance solutions.

Introduction

Australia’s financial sector is under mounting pressure to combat money laundering and terrorism financing. In recent years, AUSTRAC has intensified its supervision, issuing multi-million-dollar penalties to banks and casinos for failing to detect suspicious activity. At the same time, fraud typologies are becoming more sophisticated, with scams exploiting instant payments, mule accounts, and cross-border channels.

Against this backdrop, financial institutions must choose AML vendors that can keep pace with evolving risks. But not all vendors are created equal. The right partner should not only ensure compliance with AUSTRAC requirements but also strengthen customer trust and operational efficiency.

This blog explores the AML vendor landscape in Australia, what to look for in a partner, and why next-generation solutions like Tookitaki’s FinCense are setting a new benchmark for compliance.

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The AML Landscape in Australia

1. Rising Compliance Expectations

AUSTRAC requires banks, fintechs, and remittance providers to implement robust AML/CTF programs, including transaction monitoring, sanctions screening, and suspicious matter reporting. Failures can result in fines and reputational harm.

2. The Real-Time Payments Challenge

The New Payments Platform (NPP) and PayTo enable instant transfers, forcing institutions to adopt real-time AML monitoring. Traditional batch-based tools are no longer sufficient.

3. Scam Epidemic

Australians lost more than AUD 3 billion in 2024 to scams, much of it facilitated through banking and payment systems. AUSTRAC has made scam detection part of its supervisory priorities.

4. Diverse Financial Ecosystem

Australia’s market includes Tier-1 banks, fintechs, payment providers, and community-owned banks like Regional Australia Bank and Beyond Bank. Each requires AML vendors that can scale to their size and complexity.

What Are AML Vendors?

AML vendors provide the technology, tools, and expertise financial institutions use to meet compliance obligations. Their solutions typically include:

  • Transaction Monitoring Systems (TMS): Detect unusual patterns in customer activity.
  • Sanctions and PEP Screening: Screen customers and transactions against global lists.
  • Case Management Platforms: Help compliance teams investigate alerts.
  • Customer Due Diligence (CDD): Verify customer identities and assess risk levels.
  • Regulatory Reporting: Automate submission of Suspicious Matter Reports (SMRs), Threshold Transaction Reports (TTRs), and International Funds Transfer Instructions (IFTIs).
  • Analytics and AI Models: Strengthen detection and reduce false positives.

Types of AML Vendors in Australia

  1. Legacy Vendors
    • Long-established providers offering rule-based monitoring and screening tools.
    • Strength: Regulatory familiarity.
    • Weakness: Limited adaptability to modern real-time risks.
  2. Global Vendors
    • International firms offering standardised AML platforms.
    • Strength: Scale and established presence.
    • Weakness: Solutions may not be tailored to AUSTRAC or the Australian market.
  3. Specialist RegTech Vendors
    • Innovative firms like Tookitaki, focusing on AI-driven, cloud-ready, and AUSTRAC-aligned compliance.
    • Strength: Agility, advanced technology, and adaptability.
    • Weakness: Less brand recognition compared to legacy players (though closing fast).

Why Vendor Choice Matters

Choosing the wrong vendor can expose banks to major risks:

  • Regulatory Penalties: Inadequate tools increase the chance of AUSTRAC fines.
  • Customer Loss: Poor AML controls damage trust.
  • Operational Inefficiency: Legacy tools flood investigators with false positives.
  • Technology Obsolescence: Outdated systems cannot adapt to instant payments.

The right AML vendor provides not just compliance coverage but also operational efficiency and customer confidence.

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Key Features to Look for in an AML Vendor

  1. Real-Time Monitoring
    Essential for NPP and PayTo transactions that settle instantly.
  2. Agentic AI
    Adaptive, explainable AI that reduces false positives while improving detection.
  3. Federated Intelligence
    Access to shared typologies and scenarios across institutions without exposing sensitive data.
  4. Regulatory Alignment
    Automated SMRs, TTRs, and IFTIs that meet AUSTRAC’s standards.
  5. Case Management Integration
    Seamless workflows linking transaction alerts to investigations.
  6. Cross-Channel Coverage
    Monitoring across banking, cards, wallets, remittances, and trade finance.
  7. Explainability and Transparency
    Tools must produce outputs regulators can understand and audit.
  8. Scalability
    Solutions must work for Tier-1 banks as well as smaller community-owned institutions.

Red Flags in AML Vendors

  • Reliance on static, rules-based monitoring.
  • Limited or outdated sanctions list integrations.
  • No support for real-time NPP or PayTo screening.
  • High false-positive rates with little model adaptability.
  • Weak case management or lack of automation.
  • Minimal presence in the Australian market.

Case Example: Community-Owned Banks Leading with Smarter Vendors

Community-owned banks such as Regional Australia Bank are proving that advanced AML tools are not only for Tier-1 players. By adopting next-generation vendor solutions, they have improved suspicious matter detection, reduced operational costs, and strengthened AUSTRAC reporting — all while building customer trust.

Spotlight: Tookitaki’s FinCense

FinCense, Tookitaki’s all-in-one compliance platform, is setting a new standard among AML vendors in Australia.

  • Real-Time Detection: Screens NPP, PayTo, and cross-border transactions in milliseconds.
  • Agentic AI: Continuously adapts to emerging laundering typologies while reducing false positives.
  • Federated Intelligence: Leverages global scenarios from the AFC Ecosystem for stronger protection.
  • Automated Regulatory Reporting: Generates AUSTRAC-ready SMRs, TTRs, and IFTIs with full audit trails.
  • Integrated Case Management: Streamlines investigations with FinMate AI Copilot assisting compliance officers.
  • Cross-Channel Coverage: Consolidates monitoring across banking, remittance, wallets, and cards.

With FinCense, Australian banks and fintechs can modernise compliance while lowering operational costs.

Best Practices for Selecting AML Vendors

  1. Assess Local Fit: Ensure the vendor understands AUSTRAC and the Australian regulatory environment.
  2. Prioritise AI and Automation: Reduce false positives and investigator workload.
  3. Insist on Explainability: Ensure AI outputs can be audited and defended.
  4. Look for Federated Intelligence: Gain insights from industry-wide typologies.
  5. Evaluate Case Management Tools: Strong integration speeds up investigations.
  6. Consider Cloud Readiness: Cloud-native solutions are faster to scale and upgrade.
  7. Check References: Review case studies from institutions similar in size and scope.

The Future of AML Vendors in Australia

  1. AI Governance Integration
    Vendors will embed explainable AI frameworks to meet regulator expectations.
  2. Industry Collaboration
    Federated learning will become the standard for AML intelligence sharing.
  3. Deeper Real-Time Capabilities
    Vendors must adapt fully to instant payments like NPP and PayTo.
  4. End-to-End Platforms
    Institutions will prefer vendors offering unified AML and fraud prevention.
  5. Cost-Efficient Solutions
    Vendors that reduce compliance costs while improving detection will stand out.

Conclusion

AML vendors are the backbone of compliance in Australia’s financial ecosystem. With AUSTRAC pushing for real-time, data-driven monitoring, institutions can no longer rely on outdated, static tools. The best vendors provide real-time detection, adaptive AI, and federated intelligence, all while ensuring regulatory alignment and operational efficiency.

Community-owned banks like Regional Australia Bank and Beyond Bank demonstrate that smart vendor choices can deliver Tier-1 capabilities without Tier-1 budgets. Platforms like Tookitaki’s FinCense represent the next generation of AML vendors, offering explainable AI, federated learning, and regulator-ready automation.

Pro tip: The best AML vendor is not just a technology provider. It is a strategic partner that helps you stay ahead of criminals while earning the trust of regulators and customers.

AML Vendors in Australia: Choosing the Right Partner for Compliance in 2025
Blogs
29 Sep 2025
6 min
read

Anti Money Laundering Solutions in Singapore: What Works, What Doesn’t, and What’s Next

The wrong AML solution slows you down. The right one protects your business, your customers, and your reputation.

In Singapore’s financial sector, compliance isn’t just about keeping regulators happy. It’s about staying one step ahead of increasingly sophisticated money launderers. With rising threats like cross-border mule networks, shell company abuse, and cyber-enabled fraud, banks and fintechs need anti money laundering solutions that go beyond static rules and outdated workflows.

This blog unpacks the key traits of effective AML solutions, explains what’s driving change in Singapore’s compliance landscape, and shows what forward-looking financial institutions are doing to future-proof their defences.

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Why Singapore Needs Smarter Anti Money Laundering Solutions

Singapore’s global financial reputation makes it a target for illicit financial flows. In response, the Monetary Authority of Singapore (MAS) has tightened regulatory expectations and increased enforcement. From MAS Notice 626 for banks to the adoption of GoAML for suspicious transaction reporting, institutions are under more pressure than ever to detect, investigate, and report suspicious activity accurately and on time.

At the same time, financial crime is evolving faster than ever. Key risks include:

  • Shell companies used to obscure beneficial ownership
  • Structuring and layering of transactions across fintech rails
  • Fraudulent job scams and investment platforms funneling money through mule accounts
  • Trade-based money laundering involving under- and over-invoicing
  • Deepfake-driven impersonation used to authorise fraudulent transfers

Without advanced tools to detect and manage these risks, traditional AML systems leave institutions exposed.

What an Anti Money Laundering Solution Is — and Isn’t

An AML solution is a suite of technologies that help financial institutions prevent, detect, investigate, and report activities related to money laundering and terrorist financing.

At its core, a robust AML solution should:

  • Monitor transactions across all channels
  • Screen customers against watchlists and risk indicators
  • Help compliance teams manage and investigate alerts
  • Generate regulatory reports in a timely and traceable way

However, many existing solutions fall short because they:

  • Rely heavily on outdated rule-based systems
  • Produce high volumes of false positives
  • Lack adaptability to new money laundering typologies
  • Provide poor integration between detection and investigation

In today’s environment, these limitations are no longer acceptable.

Key Features of Modern AML Solutions

To meet the demands of Singapore’s fast-moving regulatory and risk landscape, anti money laundering solutions must include the following capabilities:

1. Real-Time Transaction Monitoring

Monitoring must happen in real time to catch suspicious activity before funds disappear. The system should detect abnormal transaction volumes, unusual patterns, and structuring behaviours instantly.

2. AI and Machine Learning for Pattern Recognition

AI helps identify non-obvious threats by learning from historical data. It reduces false positives and uncovers new laundering tactics that static rules cannot detect.

3. Risk-Based Customer Profiling

An effective AML solution dynamically adjusts risk scores based on factors like customer occupation, geography, account behaviour, and external data sources. This supports a more targeted compliance effort.

4. Typology-Based Detection Models

Generic rules often miss the mark. Leading AML solutions apply typologies — real-world scenarios contributed by experts — to identify laundering schemes specific to the region.

In Singapore, relevant typologies may include:

  • Layering through remittance platforms
  • Shell company misuse in trade transactions
  • Mule account activity linked to fraudulent apps

5. Watchlist Screening and Name Matching

Screening tools should support fuzzy matching, multilingual names, and both real-time and batch screening against:

6. Case Management and Workflow Automation

Once alerts are generated, case management tools help investigators document findings, assign tasks, track timelines, and close cases with clear audit trails. Workflow automation reduces manual errors and increases throughput.

7. Suspicious Transaction Reporting (STR) Integration

In Singapore, AML solutions should be able to format and submit STRs to GoAML. Look for solutions with:

  • Auto-filled reports based on case data
  • Role-based approval workflows
  • Submission status tracking

8. Explainable AI and Audit Readiness

AI-driven platforms must produce human-readable justifications for alerts. This is essential for internal audits and MAS inspections. The ability to trace every decision made within the system builds trust and transparency.

9. Federated Intelligence Sharing

Leading platforms support collective learning. Tools like Tookitaki’s AFC Ecosystem allow banks to share typologies and red flags without revealing customer data. This improves fraud and AML detection across the industry.

10. Simulation and Threshold Tuning

Before deploying new rules, institutions should be able to simulate their impact and optimise thresholds based on real data. This helps reduce noise and improve efficiency.

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What’s Holding Some AML Solutions Back

Many financial institutions in Singapore are still stuck with legacy systems. These platforms may be MAS-compliant on paper, but in practice, they create more friction than value.

Common limitations include:

  • Too many false positives, which overwhelm analysts
  • Inability to detect regional typologies
  • No integration with external data sources
  • Manual report generation processes
  • Lack of scalability or adaptability for digital banking

These systems may meet minimum requirements, but they don’t support the level of agility, intelligence, or automation that modern compliance teams need.

The FinCense Advantage: A Purpose-Built AML Solution for Singapore

Tookitaki’s FinCense platform is built to address the specific challenges of financial institutions across Asia Pacific — especially Singapore.

Here’s how FinCense aligns with what truly matters:

1. Scenario-Based Detection Engine

FinCense includes over 200 real-world AML typologies sourced from the AFC Ecosystem. These are region-specific and constantly updated to reflect the latest laundering schemes.

2. Modular AI Agent Framework

Instead of one monolithic system, FinCense is powered by modular AI agents that specialise in detection, alert ranking, investigation, and reporting.

This structure enables rapid customisation, scale, and performance.

3. AI Copilot for Investigations

FinMate, FinCense’s intelligent investigation assistant, helps compliance officers:

  • Summarise alert history
  • Identify key risk indicators
  • Generate STR-ready narratives
  • Suggest next steps based on previous case outcomes

4. Federated Learning and Community Intelligence

Through integration with the AFC Ecosystem, FinCense empowers banks to stay ahead of criminal tactics without compromising on data privacy or compliance standards.

5. MAS Alignment and GoAML Support

FinCense is designed with local compliance needs in mind. From case tracking to STR filing, every function supports MAS audit readiness and regulatory alignment.

Institutions Seeing Real Results with FinCense

Banks and fintechs using FinCense report:

  • Over 60 percent reduction in false positives
  • Improved turnaround time for investigations
  • Better team productivity and morale
  • Higher STR acceptance rates
  • Fewer compliance errors and audit flags

By investing in a smarter AML solution, they are not only keeping up with regulations — they are setting the standard for the industry.

Checklist: Is Your AML Solution Future-Ready?

Ask yourself:

  • Can your system adapt to new laundering methods within days, not months?
  • Are your alerts mapped to known typologies or just rule-based triggers?
  • How many false positives are you investigating each week?
  • Can your team file an STR in under 30 minutes?
  • Do you benefit from regional AML intelligence?
  • Is your investigation workflow automated and auditable?

If you are unsure about more than two of these, it’s time to evaluate your AML setup.

Conclusion: Smarter Solutions for a Safer Financial System

In Singapore’s compliance environment, doing the bare minimum is no longer good enough. Regulators, customers, and internal teams all expect more — faster alerts, better investigations, fewer errors, and greater transparency.

The right anti money laundering solution is more than a checkbox. It is a strategic enabler of risk resilience, trust, and growth.

Solutions like FinCense deliver on that promise with precision, adaptability, and intelligence. For institutions serious about strengthening their defences in 2025 and beyond, now is the time to rethink what AML should look like — and invest in a solution that’s ready for what’s next.

Anti Money Laundering Solutions in Singapore: What Works, What Doesn’t, and What’s Next