Powerful Management of New Transactions and Reviews

Transaction management and reviews are now easier and more flexible to manage. Transactions are found in the Transaction Inbox (formerly known as the “Monitoring Review Grid”) and here you can:

• See and understand the assignment of transactions, a precursor to the status of transactions and a new feature.
• Start reviews for a single or multiple transactions (known as "Collective Reviews"), a new paradigm in our system!
• Use the checkboxes and the new “No Further Review” option to quickly close out one or more non-issue transactions.
• Have powerful control over the transactions you view with the new “Configure” pane.

Simplified Review Workflow

Once reviews are created, we have simplified the workflow and expanded how your team can manage the review.

• Moving a review through the workflow process is easier through the centralized Take Action button. 

• Completed reviews can be reopened anytime by clicking the In Review option from the Take Action menu. 

• Admins can cancel, re-assign, or split reviews as needed.

• We now support collaboration, allowing multiple team members to manage a review if needed. 

• Users can upload files directly to review by using the Add Files tab.

• There is support for merged reviews, allowing a reviewer to merge reviews, which is useful for a variety of reasons. 

• New resolutions add more clarity as to how a review was resolved. 

Tasks for Follow-up and Remediation.

• Follow-up and remediation steps are now managed via the Tasks system in the Integrity Gateway. 
• Reviewers and collaborators can now trigger a task at any time during or after a review. 
• Tasks can be accessed and completed by assigned team members without direct intervention from the owner, even outside the context of the review.
• You may customize task types available for the task categories (Follow-Up or Remediation) to match your internal processes. 

Bulk Actions & Collective Reviews

• Users can now perform actions on multiple transactions at once by selecting multiple checkboxes and choosing to create a review, add to an existing review, or close them with “No Further Review” as the status.

• Users can take additional bulk actions on the transactions within a Collective Review itself, such as removing transactions that no longer fit the review's context, transferring transactions to a different review, or creating a new review altogether.

Advanced Manipulation of Data

• The number of filters has increased from approximately 10 to over 70, providing users with incredible exploration and targeting capabilities! These robust filters can reduce or increase the number of displayed transactions, including fields such as transaction type and amount, subject fields, risk analytic-based fields, and domain-specific fields.
• Transactions already in review are filtered out by default, reducing the amount of information shown.
• You can customize the filters in the Transaction Inbox, which will remain active for your user account. This means that if you set specific filters and then close the window, those same filters will still be there the next time you log in.

• Users can now view all transactions, regardless of the Risk Settings Thresholds, giving users full access to the data and control over what can be formally reviewed through a workflow. One nice impact of this is that users can quickly search, investigate, and collectively review many transactions for a subject (or any other attribute) regardless of whether their risk score meets the thresholds.

Using AI/ML to Learn from Your Data and Actions

• We are introducing a new data point we call AI Confidence, a unique value that evaluates each transaction for potential risks based on learned patterns from past transactions. This score is expressed as a percentage that quantifies the model’s confidence in the transaction's potentially risky nature, effectively signaling the need for further review where necessary.
• The data fed into the model encapsulates a comprehensive blend of key transactional details, subject data, and outcomes derived from our risk analytics. This multi-dimensional data provides a rich foundation for our algorithm, empowering it to identify and learn from complex patterns that may indicate risk.
• Your continued use of the system and feedback play crucial roles in enhancing the AI model's accuracy. Specifically, the more transactions you action, the more data our models can learn from to further optimize its predictive power. 
• Admins can utilize the Transaction Inbox settings to show or hide the AI confidence scores as a factor considered for determining which transactions are displayed in the Transaction Inbox. This can be done as an addition to the Risk Scoring (Risk Score AND AI Confidence) or as an alternative (Risk Score OR AI Confidence). Further, the feature can be turned off from the settings as well.