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Solution

Intuition for Monitoring

Achieve fraud prevention and compliance

Intuition for Monitoring

Intuition for Monitoring protects customers and institutions once accounts are live and transactions begin. The solution continuously monitors activity across payments, accounts, and channels, applying real‑time fraud detection and AML/CTF controls as behaviour unfolds.

By combining transaction monitoring, behavioural analysis, and a unified risk view, Intuition enables organisations to detect suspicious activity early, adapt to emerging risk, and maintain ongoing regulatory compliance—ensuring confident, effective financial crime prevention throughout the customer lifecycle.

Monitoring

AML Compliance

Detect and report potential money laundering activity.

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Monitoring

Transaction Fraud Prevention & Behavioural Monitoring

Detect fraud across cards, online banking, branch, and call centre channels. Behavioural profiling builds a dynamic risk baseline for every customer, enabling proactive exception management before losses occur.

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Monitoring

Counter-Terrorism Financing (CTF) & Trade Finance Screening

Monitor for CTF typologies and screen payment flows against Dow Jones watchlists — including trade finance transactions and cross-border activity flagged for sanctions risk.

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USE Cases

Transaction monitoring in a Financial Crime Prevention system

Transaction monitoring is a continuous process that safeguards the organisation once customer accounts are active. As transactions occur, activity is assessed in real time and near‑real time against predefined rules, behavioural patterns, and risk models to identify suspicious or unusual behaviour. Each transaction is evaluated in context—considering customer profile, historical activity, counterparties, geography, and transaction flow—rather than in isolation.

When potential risk is detected, alerts are generated and prioritised based on severity and relevance. These alerts are enriched with contextual data and grouped into cases for efficient investigation. Outcomes from investigations feed back into the customer risk profile, enabling controls to adapt as behaviour evolves. Through this closed‑loop process, transaction monitoring enables early detection of fraud, money laundering, and sanctions risk while maintaining robust regulatory compliance across the full customer lifecycle.

Use Cases for Real-Time Transaction Monitorin

Protect your organization with a proactive defense layer. Intuition for Monitoring transforms raw transaction data into actionable risk intelligence across the entire customer lifecycle.

Real-Time Fraud & Fiat Payment Monitoring

Real-Time Fraud & Fiat Payment Monitoring

Scenario: High-velocity payments, transfers, and withdrawals across traditional banking rails.

Solution: Evaluation of transaction value, frequency, and counterparty risk in milliseconds using behavioral baselines.

Outcome: Immediate intervention for anomalous activity and a significant reduction in false positives through contextual analysis.

Dynamic AML / CTF & Lifecycle Risk

Dynamic AML / CTF & Lifecycle Risk

Scenario: Detecting money laundering typologies (layering, structuring) in accounts that were previously flagged as low-risk.

Solution: Continuous risk scoring that updates in real-time as transaction patterns evolve, moving beyond static "point-in-time" onboarding checks.

Outcome: Proactive AML compliance and the ability to trigger Enhanced Due Diligence (EDD) exactly when risk profiles shift.

Automated Sanctions & PEP Rescreening

Automated Sanctions & PEP Rescreening

Scenario: Managing long-term customers against global sanctions lists and PEP (Politically Exposed Persons) data that changes daily.

Solution: Perpetual rescreening of active customers and beneficiaries against updated risk intelligence feeds.

Outcome: Zero-gap compliance without manual re-checks, providing a defensible audit trail for regulators.

Behavioral Anomalies & Insider Threat Detection

Behavioral Anomalies & Insider Threat Detection

Scenario: Identifying sophisticated fraud like account takeovers (ATO) or internal misuse that bypasses simple rule-based systems.

Solution: Baselines individual "normal" behavior to detect sudden shifts in login times, channel usage, or jurisdictional activity.

Outcome: Early detection of "mule" activity and internal threats before significant financial or reputational damage occurs.

Cross-Channel & Fiat-to- Crypto Oversight

Cross-Channel & Fiat-to- Crypto Oversight

Scenario: Value moving across fragmented rails—from bank accounts to crypto exchanges (VASPs) and digital wallets.

Solution: Unified monitoring that breaks down data silos, correlating activity as it crosses from fiat to virtual asset environments.

Outcome: Enterprise-wide oversight and compliance with emerging digital asset regulations, eliminating "blind spots" in the customer journey.

 Intelligent Alert Management, Investigation & Regulatory Reporting

Intelligent Alert Management, Investigation & Regulatory Reporting

Scenario: Compliance teams overwhelmed by high alert volumes and manual reporting requirements.

Solution: Risk-prioritized alert grouping with automated data enrichment to streamline SAR/STR (Suspicious Activity/Transaction Report) filing.

Outcome: 30–50% improvement in analyst efficiency and faster resolution of high-risk cases.

Don't see your use case? Talk to our solution consultants about a custom workflow.

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Frequently Asked Questions

What is AML transaction monitoring and how does Intuition support it?

AML transaction monitoring is the process of analysing customer transactions to detect suspicious behaviour that may indicate money laundering or financial crime. Intuition supports this through real-time or periodic monitoring, configurable rules, behavioural analysis, and integrated alerting workflows.
Transaction monitoring typically works by analysing customer activity against predefined scenarios, thresholds, and behavioural patterns to identify unusual or high-risk transactions. Alerts are generated for further investigation when potential risks are detected.
It uses configurable rules, thresholds, behavioural patterns, and machine learning to identify unusual or high-risk activity in real time.
Transaction monitoring rules define the conditions under which transactions are flagged as potentially suspicious. In Intuition, these rules can be configured by business users using flexible parameters such as thresholds, frequencies, customer attributes, and behavioural scenarios.
Alerts are risk-scored and integrated into case management workflows for efficient investigation and resolution.
It monitors transactions across channels such as payments, cards, online banking, and mobile.
Intuition reduces false positives through advanced rule tuning, behavioural profiling, and continuous optimisation to improve detection accuracy. In addition, alerts with a high likelihood of being false positives can be automatically actioned, and previous decisions can be re-applied based on configurable criteria, minimising repetitive reviews and improving operational efficiency.
Yes, business users can configure and adjust rules, thresholds, and scenarios without complex development.
Alert Insights is a GenAI-powered feature that uses large language models (LLMs) to analyse the full context of an alert and generate a clear, structured summary, key risk indicators, and a recommended action.
Yes, Alert Insights provides transparent outputs based on underlying alert data, and all recommendations are reviewed and actioned by users, with full audit trails maintained.
Intuition supports configurable automated decisioning for recurring scenarios (e.g. the same customer transacting with the same beneficiary or matching the same screening result), reducing repeated manual reviews and improving consistency.
Yes, Intuition supports continuous and event-driven screening of customers against sanctions lists, PEPs, and adverse media, ensuring that changes in customer risk profiles are detected promptly.

Competitive Advantages

We differentiate ourselves by delivering value for money whilst helping our clients to implement industry best practice in financial crimes prevention. We work hard with our clients to ensure they achieve return on investment through the implementation of our solutions in four main ways.

01

One Platform

for both Onboarding and Monitoring enabling information sharing and more efficient alert review.

02

Real-time

execution of strategies including self-learning models and dashboard monitoring.

03

Latest

technology and architecture means increased performance and scalability with more cost effectiveness.

04

Flexible

data model and strategy definitions including machine learning.

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