Transaction Monitoring
In this scenario, transaction monitoring agents review alerts of unusual customer activity, investigating the underlying transaction history and conducting open web research to resolve the alert. Alerts need to be handled as quickly as possible to avoid breach of regulatory guidelines, but the task is time-consuming and error-prone.
- Launch multiple queries in transaction monitoring system to identify related alerts
- Navigate file system and KYC system to look up customer data and activity reports
- Manually perform extensive web research to understand source of customer activity
- Investigate activity report in Excel performing multiple complex checks
- Summarize facts and conclusion of the source of transaction activity
- Store report and navigate the transaction monitoring system to close ticket
- Automatically identify related alerts to avoid re-work
- Automatically look up transaction data from various sources, without switching systems
- Perform automated checks in LexisNexis and Google for the agent to review
- Get smart guidance with AI through transaction history
- AI-drafted resolution comment presented for review by agent
- Automatically update report and close alert, at the click of a button
The Assistant integrates directly into the systems transaction monitoring agents already use, providing a contextual helper that streamlines the investigation of unusual customer activity. By appearing right in the context of the agent's existing workflow, it helps detect related alerts in the global queue and ensures complete visibility of all alerts triggered by a specific customer from the very beginning of the task.
As the investigation begins, the Assistant automatically captures screenshots of the process. This helps accelerate quality checks performed by downstream teams and ensures that all initial findings are visually documented for future review.
The Assistant pulls transaction data from multiple systems for agent review and automatically validates the results provided by RPA bots. If a bot fails to retrieve the necessary data, the Assistant seamlessly fills those gaps by accessing the client's KYC and transaction systems directly.
Every research step performed during the investigation is documented automatically. This creates a comprehensive and reliable audit trail, ensuring that the entire process meets strict compliance standards and is ready for any necessary audits.
The Assistant matches alert data with LexisNexis to verify the customer's identity. During this step, it also checks for any associated business entities to ensure the agent has a full understanding of the customer's professional footprint.5
To detect potential risks, the Assistant performs standard Google searches for indicators of criminal or money laundering activity. All findings are aggregated and made accessible with a single click, allowing the agent to review external sources without leaving their workspace.
Once all assessment data is gathered, the Assistant uses generative AI to analyze the alert's trigger, activity patterns, and transaction history. It provides a comprehensive picture of the unusual activity, including potential explanations and insights, all presented clearly for the agent to validate.
The Assistant generates a draft resolution comment based on the gathered findings. It displays previous evidence contextually, allowing the agent to easily modify or refine the text as needed before they finalize their professional assessment.
To finalize the task, the Assistant handles the administrative cleanup by automatically updating Excel reports with the required data. It then stores the necessary files in the appropriate system locations and formally closes the alert in the monitoring system.
By reducing the manual burden on delivery teams, the Assistant significantly accelerates screening times. This allows agents to focus their expertise on true high-risk cases while ensuring a high standard of compliance and risk reduction.
Explore our collection of Matterway Skills for different use cases that highlight the results & task steps before and after Matterway is implemented.
Investigate transactions that have been flagged as having politically exposed persons (PEP) involved and decide whether the transaction should be approved or rejected.
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Investigate transactions that have been flagged to involve sanctioned persons or countries and decide whether the transaction should be approved or rejected.
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Review broken wire transactions and take appropriate follow-up action to unblock the payment.
Reconcile investor accounts in Excel in a streamlined fashion while maximising process compliance.
Review training requests for employees, register them in the HR Suite, and finally purchase the training on the company’s intranet platform
Review & calculate policy renewal premiums for property & casualty insurance, considering various factors.
Review reports of unusual customer activity by investigating account & transaction data, and route them to the appropriate expert team for further action.
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