The Future of Financial Crime Prevention
An end-to-end operating system designed for AML and fraud prevention
So far so good, but how does it benefit your Financial Institution?
100% Risk Coverage
80% Faster Deployment
Flexible Deployment Options
50% Fewer False Positives
100% Risk Coverage
80% Faster Deployment
Flexible Deployment Options
50% Fewer False Positives
Key Features
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What all can you do with FinCense ?
Transaction Monitoring
Comprehensive risk detection using AI and typology-based approaches for efficient alert management.
Key Benefits:
- 100% risk coverage
- 45% better alert yield
- 50% reduction in onboarding time for new scenarios
- 90% reduction in false positives
Customer Risk Scoring
Dynamic and continuous risk scoring for holistic customer activity analysis.
Key Benefits:
- 99% of material alerts accurately identified
- 60% net reduction in high-risk customers
- Advanced customer segmentation
- Self-learning mechanism
Screening
Real-time and continuous screening against PEP, Sanctions, Adverse Media watchlists.
Key Benefits:
- 60-90% reduction in false positives
- Supports 24 languages and 14 scripts
- Matching across multiple customer attributes
- In-built prioritization engine
AI Alert Prioritization Agent
Prioritize alerts to enhance efficiency using ensemble machine learning models.
Key Benefits:
- Alert prioritization and scoring
- Glass-box transparency for alert explanations
- Built-in champion challenger framework
- Reduced false positives
Fraud Prevention
Detect and prevent fraudulent transactions as they occur with AI-powered anomaly detection.
Key Benefits:
- Millisecond response times
- Advanced pattern recognition
- Multi-channel fraud detection
- Continuous learning from new patterns
Case Manager
Centralized platform for managing alerts and cases across AML and fraud programs.
Key Benefits:
- Case creation and assignment
- Automation for case management processes
- Comprehensive investigation support
- 24/7 visibility into operations
Tookitaki Data Science Studio
Powers all AI/ML capabilities in the FinCense platform, ensuring continuous improvement and compliance with regulatory requirements.
Multiple Model Support
Supports multiple regression and classification models for both supervised and unsupervised machine learning.
Self-Learning Capabilities
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Auto threshold tuning and automated self-learning capabilities ensure continuous improvement of models.
Explainable AI (XAI) Framework
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Patent-pending XAI framework provides transparency and interpretability of AI models for regulatory compliance.
Regulatory Compliance
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Designed to meet and exceed regulatory requirements for AI-based financial crime prevention systems.
Multiple Model Support
Supports multiple regression and classification models for both supervised and unsupervised machine learning.
Self-Learning Capabilities
Auto threshold tuning and automated self-learning capabilities ensure continuous improvement of models.
Explainable AI (XAI) Framework
Patent-pending XAI framework provides transparency and interpretability of AI models for regulatory compliance.
Regulatory Compliance
Designed to meet and exceed regulatory requirements for AI-based financial crime prevention systems.
Partners who have trusted Us
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Flexible Deployment Options for Your Needs
Choose the deployment option that works best for your institution.
Data Center for Full Control
Maintain full control over your infrastructure with an on-premise deployment. Secure, customizable, and tailored to your internal compliance needs.
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Cloud (AWS & Google Cloud)
Leverage the cloud infrastructure preferred by the majority of our clients. Scalable, secure, and highly available enabling seamless integrations with your existing systems.
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Hybrid Approach
Enjoy the best of both worlds with a hybrid deployment, combining the flexibility of the cloud with the security and control of on-premise systems.
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Trusted by Industry Leaders
Discover detailed insights into our technology, real-world use cases, and customer success stories.
Compliance Office of a Singapore Bank
The area of AML requires constant vigilance and continual enhancement. The use of RegTech such as Tookitaki’s FinCense enables us to augment our ability to identify actionable alerts and minimise false positives. These sharpen the accuracy and effectiveness of our AML risk management.
50%
~45%
Digital Bank Client
For a new business like ours, Tookitaki's FinCense has been a perfect partner to help us effectively manage our compliance needs.
100%
50%
Payment Services Client
FinCense's ability to detect AML and fraud risk accurately in real time allows us to maintain the performance of the system at scale. It has been a game-changer for us.
70%
90%
E-Wallet Client
Tookitaki helped us simplify our compliance operations by providing us with a single platform that effectively manages all fraud and AML processes.
90%
50%
Our Thought Leadership Guides
Q4 2025 FinCrime Landscape Report | Australia
The Q4 2025 Australia Financial Crime Landscape Report highlights a clear shift from isolated fraud events to coordinated, cross-platform schemes that exploit digital speed, institutional trust, and legitimate financial products. Financial crime during the quarter increasingly relied on routine processes across payments, gambling platforms, and corporate workflows to disguise illicit value flows.
Two dominant themes shaped the quarter: online gambling–enabled laundering and persistent, adaptive account takeover (ATO) fraud. Criminal actors used low-risk betting patterns, prepaid instruments, and rapid withdrawal cycles to convert illicit funds into apparently legitimate winnings. At the same time, ATO schemes targeted payroll systems, supplier payment processes, and corporate approval hierarchies to divert and layer funds across domestic and cross-border rails.
These developments reflect a broader systemic challenge: ordinary financial activity can be structured into credible laundering pathways that closely resemble legitimate behaviour. Insights in this report are derived from scenario analysis conducted through the AFC Ecosystem, reflecting real-world observations shared by financial crime professionals across Australia’s banking and payments sector.
Q4 2025 FinCrime Landscape Report | Philippines
The Q4 2025 Philippines Financial Crime Landscape Report highlights a marked shift in how corruption-linked financial crime manifests across the country’s public-works and infrastructure sector.
Rather than isolated cases of tender manipulation or inflated billing, financial crime observed during the quarter reflects systemically embedded practices that begin upstream, at the budget formulation and appropriation stage, before flowing through complex procurement, subcontracting, and payment networks. These patterns increasingly resemble legitimate infrastructure activity, making detection significantly more challenging for financial institutions.
Insights in this report are derived from analysis conducted through the AFC Ecosystem in collaboration with ABCOMP, reflecting real-world observations shared by compliance professionals operating across the Philippine banking sector.
Q3 2025 FinCrime Landscape Report | Australia
The Q3 2025 FinCrime Landscape Report: Australia analyses how emerging technologies and real-time payment systems are redefining financial crime risks. Developed in collaboration with experts from the AFC Ecosystem, the report highlights two dominant threats — deepfake-enabled scams and account takeover (ATO) fraud — and their evolution into full-fledged laundering pipelines. It provides detailed scenarios, transaction-level red flags, and actionable recommendations to help financial institutions strengthen their defences and detect fraud with greater accuracy and speed.
Q4 2025 FinCrime Landscape Report | Australia
The Q4 2025 Australia Financial Crime Landscape Report highlights a clear shift from isolated fraud events to coordinated, cross-platform schemes that exploit digital speed, institutional trust, and legitimate financial products. Financial crime during the quarter increasingly relied on routine processes across payments, gambling platforms, and corporate workflows to disguise illicit value flows.
Two dominant themes shaped the quarter: online gambling–enabled laundering and persistent, adaptive account takeover (ATO) fraud. Criminal actors used low-risk betting patterns, prepaid instruments, and rapid withdrawal cycles to convert illicit funds into apparently legitimate winnings. At the same time, ATO schemes targeted payroll systems, supplier payment processes, and corporate approval hierarchies to divert and layer funds across domestic and cross-border rails.
These developments reflect a broader systemic challenge: ordinary financial activity can be structured into credible laundering pathways that closely resemble legitimate behaviour. Insights in this report are derived from scenario analysis conducted through the AFC Ecosystem, reflecting real-world observations shared by financial crime professionals across Australia’s banking and payments sector.
Q4 2025 FinCrime Landscape Report | Philippines
The Q4 2025 Philippines Financial Crime Landscape Report highlights a marked shift in how corruption-linked financial crime manifests across the country’s public-works and infrastructure sector.
Rather than isolated cases of tender manipulation or inflated billing, financial crime observed during the quarter reflects systemically embedded practices that begin upstream, at the budget formulation and appropriation stage, before flowing through complex procurement, subcontracting, and payment networks. These patterns increasingly resemble legitimate infrastructure activity, making detection significantly more challenging for financial institutions.
Insights in this report are derived from analysis conducted through the AFC Ecosystem in collaboration with ABCOMP, reflecting real-world observations shared by compliance professionals operating across the Philippine banking sector.
Q3 2025 FinCrime Landscape Report | Australia
The Q3 2025 FinCrime Landscape Report: Australia analyses how emerging technologies and real-time payment systems are redefining financial crime risks. Developed in collaboration with experts from the AFC Ecosystem, the report highlights two dominant threats — deepfake-enabled scams and account takeover (ATO) fraud — and their evolution into full-fledged laundering pipelines. It provides detailed scenarios, transaction-level red flags, and actionable recommendations to help financial institutions strengthen their defences and detect fraud with greater accuracy and speed.
FAQs
FinCense by Tookitaki offers key features such as advanced transaction monitoring, customer risk scoring, customer due diligence, and case management.
The various modules of FinCense use best-in-class detection techniques that help your organization prevent money laundering activities, minimize risks and enhance compliance efforts.
You can book a demo for Tookitaki's FinCense by contacting our sales team.
Yes, FinCense is developed keeping in various industry regulations and compliance standards across the globe. It can easily adapt to regulatory changes.
Absolutely, FinCense can be customized to align with the specific needs and requirements of your organization.
FinCense can integrate any number of internal and external data sources to enhance its detection capabilities.
The Smart Alert Management feature of FinCense employs advanced machine learning algorithms to reduce false positives and optimize alert accuracy.
Yes, FinCense offers integration capabilities with other systems or tools within your organization for a seamless implementation process.
A typical demo session for FinCense varies, and during the demo, you can expect to see live examples of its features, functionalities, and how it addresses your organization's needs.