Before the Money Moves

Faster payments need financial crime controls that keep pace.

Cross-border payments are becoming faster and more connected, compressing the window for identifying genuine risk while expectations from regulators, schemes and partners increase.

Keep legitimate payments moving securely, with confidence that genuine risk is being identified before funds move.
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WEBINAR

See “Before the Money Moves” in Practice

Join leaders from across the cross-border payments ecosystem to explore how Identity, Legitimacy and Permission come together inside the payment window and how connected controls can support each decision before the money moves.

14th October | Wednesday
Smiling woman with straight dark brown hair looking slightly up and to the right.

Peter

Thunes

Man in glasses wearing a dark suit, white shirt, and dark tie, posing against a white background.

Josh Quinto

Chief Risk & Compliance Officer, PayMongo

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Andy White

XXX

TENSION

THE OPERATING PROBLEM

Fast Payments. Fragmented Context.

Compliance decisions should be based on complete information. Cross-border payments won’t give you the luxury.

A payment can cross institutions, networks and jurisdictions in seconds, but the data and controls used to assess it often sit in separate systems, under different rules and risk appetites. Teams must resolve multiple issues while the customer is still waiting for the money to move.
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The challenge is not moving the payment quickly. It is having enough context to make the right decision before it moves.
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80% Faster 
Deployment

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100% Risk 
Coverage

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50% Fewer False Positives

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Flexible Deployment Options

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50% reduction in investigation time

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90% accuracy in high quality alerts

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80% Faster 
Deployment

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100% Risk 
Coverage

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50% Fewer False Positives

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Flexible Deployment Options

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50% reduction in investigation time

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90% accuracy in high quality alerts

REGULATORY CHALLENGE

One Payment. Multiple Control Obligations.

Cross-border providers must satisfy their own risk policies while demonstrating control effectiveness to regulators, sponsor banks, schemes and network partners. Controls must adapt without fragmenting the operating model.
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The goal is not identical rules everywhere. It is a control framework that applies different obligations consistently, explainably and at speed.
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80% Faster 
Deployment

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100% Risk 
Coverage

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50% Fewer False Positives

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Flexible Deployment Options

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50% reduction in investigation time

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90% accuracy in high quality alerts

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80% Faster 
Deployment

solution-card-image

100% Risk 
Coverage

solution-card-image

50% Fewer False Positives

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Flexible Deployment Options

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50% reduction in investigation time

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90% accuracy in high quality alerts

Three Decisions. One Payment Window.

Effective cross-border control depends on three decisions being made together, using the same payment context.

Identity

Who is really behind the payment?

Understand the originator, beneficiary, merchant, intermediary and connected parties — not simply the names in the payment message.
Legitimacy

Does the payment make sense in context?

Assess behaviour, customer history, counterparties, corridor context and known financial-crime patterns.
Permission

Should the payment proceed?

Apply screening and monitoring signals alongside applicable policy, corridor requirements and institutional risk appetite.
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80% Faster 
Deployment

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100% Risk 
Coverage

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50% Fewer False Positives

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Flexible Deployment Options

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50% reduction in investigation time

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90% accuracy in high quality alerts

AFC ECOSYSTEM

Intelligence Beyond Your Own
Transaction History

AFC intelligence brings emerging cross-border typologies and behavioural patterns into FinCense controls, helping institutions identify risk that may not yet be visible from their own transaction history.

See how broader intelligence can reveal patterns that individual transactions may not.

Drug-trafficking proceeds via smurfing
(One-to-many fragmentation)


Many transactions disperse funds across different recipients, revealing a structured pattern that may appear ordinary when each payment is viewed separately.

Inbound smurfing for suspected terrorism financing
(Many-to-one consolidation)


Multiple senders route funds into a single recipient, revealing coordinated funding activity that individual transactions may not expose.

Same counterparty across multiple countries
(Repeated relationship + changing geography)


Recurring activity involving the same counterparty across jurisdictions can reveal suspicious cross-border behaviour over time.
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80% Faster 
Deployment

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100% Risk 
Coverage

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50% Fewer False Positives

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Flexible Deployment Options

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50% reduction in investigation time

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90% accuracy in high quality alerts

AFC Ecosystem intelligence helps FinCense recognise fragmentation, consolidation and cross-jurisdictional behaviour that may otherwise remain hidden.

Turn the Three Decisions Into Connected Controls

Real-Time Transaction Monitoring

  • Assess behaviour and context as transactions happen
  • Evaluate payment behaviour using institution-specific scenarios and evolving financial-crime typologies.
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Transaction Screening

  • Screen payment parties and information in real time.
  • Screen originators, beneficiaries, intermediaries and payment information against sanctions, watchlists and other risk sources in real time.
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Case Manager

  • Centralise all transaction monitoring, screening and CDD alerts as a customer level case for effective investigation.
  • Seamless reporting with automated STR and CTR reports as per local or goAML standards.
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From Payment Initiation to Decision and
Exception Resolution

Screen the parties. Assess the behaviour. Make the decision. Investigate only when needed.

Proven at Digital-Payment Scale

Financial crime controls must perform within high-volume payment environments. Tookitaki brings operating experience at significant digital-payment scale. In particular, our work to help Thunes modernise its capabilities is proof of this:

Transactions monitored annually

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120M+

Increase in Monitoring true positives per million transactions

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5.6x

Reduction in Screening alert rate, run-rate to run-rate

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64%

Need Content Here

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90%

Reduction in effort on threshold tuning and scenario testing

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70%

Reduction in false positives

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90%

Need Content Here

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90%

Partners Who Trust Us

Learn From Our Latest Thought Leadership Guides

Case Study

Building a Future-Ready Community-Driven Compliance Model for a Leading Payment Processor

Roll out new AML measures quickly to support business expansion, while efficiently handling regulatory risks and keeping costs in check.

The client aimed to align its growth strategy with regulatory compliance requirements in regions like Singapore, Hong Kong, and Europe.

It faced the pressing need to scale up its financial crime compliance capabilities to support rapidly changing regulatory requirements, emerging money laundering threats and an expanding customer base.

Building a Future-Ready Community-Driven Compliance Model for a Leading Payment Processor
Case Study

Transforming Legacy Compliance system for a Universal Bank

Implementing a True Risk-based Approach and Reducing the Rising Cost of Compliance

UOB faced a strategic imperative to optimise its alert management and address the rising cost of compliance. With the volume and velocity of transactions flowing through the bank, there was a pressing need to reduce "false positives" and efficiently close alerts.  

UOB was also keen to acquire better insights from the transactions and activities of high-risk individuals and companies and suspicious activities to remain vigilant against any potential money laundering activities. Having experimented with multiple systems, UOB faced challenges in finding a sustainable solution.

Transforming Legacy Compliance system for a Universal Bank
Case Study

Building a Top-Grade Compliance System with Next-gen Technology for a Gen-Z Digital Bank

Meeting Stringent Regulatory Requirements to Launch Digital Banking Services in a Timely Manner

As a new entrant to the digital banking space, our client faced a unique set of challenges. The rules were clear: ensure full compliance with the Monetary Authority of Singapore (MAS) before their digital bank takes its maiden voyage.

To keep pace with the rapidly evolving landscape, they needed to onboard new transaction monitoring scenarios at lightning speed.

Building a Top-Grade Compliance System with Next-gen Technology for a Gen-Z Digital Bank