Dynamic Customer Risk Scoring Built for Modern Compliance
Assess customer risk accurately and continuously with behavior-aware models, automated profiling, and 360° visibility — aligned to your regulatory needs.
Trusted by Leading Banks and Fintechs Across Asia
50% Reduction in ODD SLA Timelines
.svg)
60% Reduction in High-Risk Customer Volumes
99% Accuracy in Identifying Material Alerts
Too Many False Alerts?
New Threats, Old Rules?
Slow to Respond?
Dynamic Risk Intelligence Across the Customer Lifecycle
Tookitaki’s Customer Risk Scoring engine adapts to your evolving data and policies, enabling better decisions across onboarding, reviews, and investigations.
From Static Risk Ratings to Smart, Adaptive Risk Insights
Legacy onboarding checks are slow, fragmented, and noisy. Tookitaki’s Onboarding Suite helps you strike the perfect balance between speed and security.
Manual, One-Time Risk Ratings?
Automate customer risk scoring across the lifecycle with real-time updates triggered by transactions, profile changes, or periodic reviews.
Inconsistent Scoring Logic?
Standardize risk ratings with 90+ prebuilt rules and custom configuration — fully aligned with your risk policy.
Limited Risk Visibility?
Get a 360-degree view of every customer — including historical scores, events, and alert activity — in one centralized dashboard.
Manual, One-Time Risk Ratings?
Automate customer risk scoring across the lifecycle with real-time updates triggered by transactions, profile changes, or periodic reviews.
Inconsistent Scoring Logic?
Standardize risk ratings with 90+ prebuilt rules and custom configuration — fully aligned with your risk policy.
Limited Risk Visibility?
Get a 360-degree view of every customer — including historical scores, events, and alert activity — in one centralized dashboard.
How Tookitaki Redefines Customer Risk Scoring
Our scoring engine is built to continuously learn, segment, and adapt — delivering risk insights with clarity, context, and control.
Dynamic Risk Scoring Across the Lifecycle
From onboarding to offboarding — risk scores evolve with the customer, not just once at sign-up.
ML-Powered Customer Segmentation
Group customers intelligently using supervised and unsupervised learning — for smarter downstream decisions.
Self-Learning Models via TDSS
Automatically improve risk detection over time through the Tookitaki Data Science Studio (TDSS).
Explainable, Configurable Framework
Balance automation and oversight with full transparency into how each score is calculated.
Integrated with Case Manager & Screening
Create a unified compliance view by linking risk scores with alerts, reviews, and past activity.
Partners who have trusted Us
.webp)
.webp)
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%
FAQs
AML Customer Risk Scoring assesses and manages the financial crime risk associated with customers. It provides a 360-degree risk profile of your customer enabling you informed decision-making for your organization.
Tookitaki's AML Customer Risk Scoring solution evaluates customer behaviour, transaction history, historical alerts and other variables. It has a dynamic risk rating engine which automatically adapts to changing data to calculate an accurate risk score.
The AML Customer Risk Scoring process considers factors like transaction patterns, geographic locations, customer profiles, business relationships and historical alerts. Customer Risk Scoring Solution can be extended to include external 3rd party data as well.
Yes, the AML Customer Risk Scoring solution is customizable to align with your organization's specific risk assessment needs. It provides the option to configure rules and create your own as well.
Used by many clients, Tookitaki's risk-scoring methodology is highly accurate and reliable. It uses both preconfigured rules and dynamic risk indicators to calculate highly accurate risk scores even with changing customer behaviour.
Using AML Customer Risk Scoring ensures you have access to an accurate and 360-degree risk profile. It reduces ongoing due diligence effort, reduces misclassification and reduces the risk of non-compliance.
Yes, the solution can integrate with various systems and data sources, including transaction data, watchlists, and external feeds, for comprehensive risk assessment.
Yes, there are real-world case studies and success stories that showcase the effectiveness of Tookitaki's AML Customer Risk Scoring solution in identifying and managing risks for financial institutions. Contact us to learn more.
We offer both enterprise and SaaS models for quick and easy deployment. Based on your specific requirements our experienced implementation team can help you.
Yes, you can request a demo of the AML Customer Risk Scoring solution with one of our experts to explore its capabilities and benefits, and our team will guide you through the process.
Our Thought Leadership Guides
Powering the Next-Gen of AML Technology with AI
This Tookitaki report elucidates how our solution complements the existing rules-driven primary system for easy operationalisation.Download our whitepaper to understand:The challenges arising from incremental adjustments to existing systems and current alerts management processesThe criticality of smart alert management to augment efficiency and effectiveness in AML processesThe framework to operationalize an AI-driven transaction monitoring solution into existing financial crime prevention ecosystemsUse cases to validate the productivity gains and returns FIs have garnered when the solution was deployed in productionThe example of a Tier-1 bank that saved over US$1 million through enhanced productivity in the alert management process.
.png)
The Paypers Financial Crime and Fraud Report 2023
The Paypers Financial Crime and Fraud Report 2023This report, brought to you by The Paypers, gathers the brightest minds in the industry to explore challenges, opportunities, and best practices in combating financial crime and fraud.Within the report, Tookitaki Founder and CEO Abhishek Chatterjee explains the trends he has spotted permeating the financial crime landscape in South-East Asia in the last 12 months. He also reveals how Tookitaki’s two innovative platforms i.e., AFC Ecosystem and AML Suite, are revolutionising the fight against fincrime by promoting a collaborative, community-based approach to prevention.
.png)
The Role of Anti-Money Laundering Software in AML Compliance
The Role of Anti-Money Laundering Software in AML ComplianceAn anti-money laundering software (AML software) is a technology solution that helps financial institutions and other regulated entities to prevent, detect and report money laundering and related crimes in compliance with the requirements of regulators.Financial institutions use anti-money laundering software solutions as part of a broader AML compliance programme. These solutions are implemented taking into account each financial institution’s unique AML risk profile. Anti-money laundering software solutions are valuable tools for institutions worldwide in the fight against financial crime as they facilitate faster and more accurate compliance and investigations.AML tools help financial institutions implement their AML programmes, which involve many diverse processes. The processes ensure that a customer’s profile and financial behaviour are not against the AML laws of the land. Broadly, AML software solutions increase the effectiveness and efficiency of these processes.AML software solutions help financial institutions to stop doing business with high-risk people and entities, prevent or detect suspicious activities in their platforms, reduce false positives in workflows and assist in reporting suspicious activities and transactions.
.png)
Powering the Next-Gen of AML Technology with AI
This Tookitaki report elucidates how our solution complements the existing rules-driven primary system for easy operationalisation.Download our whitepaper to understand:The challenges arising from incremental adjustments to existing systems and current alerts management processesThe criticality of smart alert management to augment efficiency and effectiveness in AML processesThe framework to operationalize an AI-driven transaction monitoring solution into existing financial crime prevention ecosystemsUse cases to validate the productivity gains and returns FIs have garnered when the solution was deployed in productionThe example of a Tier-1 bank that saved over US$1 million through enhanced productivity in the alert management process.
The Paypers Financial Crime and Fraud Report 2023
The Paypers Financial Crime and Fraud Report 2023This report, brought to you by The Paypers, gathers the brightest minds in the industry to explore challenges, opportunities, and best practices in combating financial crime and fraud.Within the report, Tookitaki Founder and CEO Abhishek Chatterjee explains the trends he has spotted permeating the financial crime landscape in South-East Asia in the last 12 months. He also reveals how Tookitaki’s two innovative platforms i.e., AFC Ecosystem and AML Suite, are revolutionising the fight against fincrime by promoting a collaborative, community-based approach to prevention.
The Role of Anti-Money Laundering Software in AML Compliance
The Role of Anti-Money Laundering Software in AML ComplianceAn anti-money laundering software (AML software) is a technology solution that helps financial institutions and other regulated entities to prevent, detect and report money laundering and related crimes in compliance with the requirements of regulators.Financial institutions use anti-money laundering software solutions as part of a broader AML compliance programme. These solutions are implemented taking into account each financial institution’s unique AML risk profile. Anti-money laundering software solutions are valuable tools for institutions worldwide in the fight against financial crime as they facilitate faster and more accurate compliance and investigations.AML tools help financial institutions implement their AML programmes, which involve many diverse processes. The processes ensure that a customer’s profile and financial behaviour are not against the AML laws of the land. Broadly, AML software solutions increase the effectiveness and efficiency of these processes.AML software solutions help financial institutions to stop doing business with high-risk people and entities, prevent or detect suspicious activities in their platforms, reduce false positives in workflows and assist in reporting suspicious activities and transactions.