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Version: 4.1

Release notes

Version 4.1.5​

About Release
  • Release date: September 12, 2025
  • Compatible platform version: Work.AI 10.2.9+

The Evan 4.1.5 patch introduces additional logging to resolve the issue where the article count changed upon refreshing the Manual Task page.

Version 4.1.4​

About Release
  • Release date: August 7, 2025
  • Compatible platform version: Work.AI 10.2.9+

The Evan 4.1.4 patch eliminates the issue with the final report missing changes made by users when processing Manual Tasks. Now, final reports in the PDF format include correct article-specific user disposition data and comments.

Version 4.1.3​

About Release
  • Release date: July 18, 2025
  • Compatible platform version: Work.AI 10.2.9+

The Evan 4.1.3 release focuses on enhancing investigation tracking, report clarity, data consistency, and quality control.

  • The REST API response for Manual Tasks now includes creation and submission time, providing better visibility into task progress.

  • Final report output is updated to display True Positive articles before Needs Investigation ones, improving readability and prioritization.

  • A new investigation_date field is added to Evan input data. If provided, it is used as the investigation timestamp. Otherwise, the start time of the AMM Business Process is used.

  • The SLA date is now stored and sent to manual review as a date object (rather than a string), ensuring consistent and readable formatting in Workspace.

  • You can now re-open closed investigations directly from the analytics dashboard for quality control purposes.

Version 4.1.2​

About Release
  • Release date: July 3, 2025
  • Compatible platform version: Work.AI 10.2.9+

The Evan 4.1.2 release focuses on providing clearer insight into article decisions, enhancing Manual Task management, and resolving reporting inconsistencies for duplicate articles.

New features

  • The article analytics Data Store and REST API output now include the shorthand decision and external content link for each article, improving transparency and traceability of decisions within the analytics context.

  • The AMM Manual Task UI now displays the External ID field when it exists, enhancing task management efficiency and improving navigation for large task sets. In the assignment list, you can now search or filter Manual Tasks by external IDs, when available.

Bug fixes

  • Fixed the issue where True Positive articles with duplicates were incorrectly represented in reports alongside non-True Positive duplicates. Now, relevant duplicates display consistently, ensuring accurate validation.

Version 4.1.1​

About Release
  • Release date: June 17, 2025
  • Compatible platform version: Work.AI 10.2.9+

With the 4.1.1 release, Evan gets the ability to save input data at the initiation of an AMM investigation to enable record tracking based on input fields.

Version 4.1​

About Release
  • Release date: June 10, 2025
  • Compatible platform version: Work.AI 10.2.9+

The Evan AMM 4.1 release optimizes how the AI Agent handles data and article content, adds new data points to manual review tasks, and introduces automatic escalation of small articles. In addition, we improved models and Ad Hoc investigation error logging, optimized resource utilization by models and the Java Native Worker (JNW), and addressed reported critical issues.

New features

  • For convenience of handling article data with the External provider input, the AMM REST API now includes the article_data and external_provider fields. The article_data field in REST requests supports both the stringified JSON and an array of ArticleData objects.

  • In addition to the date of birth for individuals, Evan now returns the date of incorporation for companies. In the configuration and manual review interfaces and reports, the respective fields are renamed to Year of birth/incorporation and Date of birth/incorporation.

  • As some links in the AMM output cannot be downloaded but might contain a file type extension in the URL (for instance, PDF, TXT, DOC), a file type exclusion logic was implemented. The logic checks the URL only if an article download fails, prevents unnecessary download attempts, and tracks the ignored URLs for debugging purposes.

  • The Send results to field in Ad Hoc manual review tasks is now disabled based on the Always assign human-in-the-loop tasks to the person who initiates the investigation setting:

    • When the Always assign human-in-the-loop tasks to the person who initiates the investigation checkbox is selected, the Send results to field is prefilled with the current user's email and disabled.

    • When the checkbox is not selected, the field remains editable.

  • You can now enable or disable the automatic escalation of articles that contain less than 50 words using the Automatically escalate articles that are too small? setting in the configuration user interface. The option is available only for the Google provider.

  • To allow handling articles that require JavaScript to download content, Evan supports the new JS_REQUIRED adjudication and error codes. The settings allow users to set a specific adjudication reason and comment for such articles.

  • To let you prioritize and process manual review tasks effectively, new screening_service and business_line fields were added as admissible input and investigation schema objects. As a result, if those objects are present in the AMM input data, you can see the screening service (for instance, AdvNews or Ongoing) and the business line associated with each assignment in the Workspace user interface. Respective values are stored in the database and appear in AMM final reports.

  • To speed up article downloading and make it more efficient, one-by-one article downloads were replaced with parallel batch ones. The article downloader accepts a list of article links instead of a single link, splits the links into batches, and downloads those in parallel using separate threads.

Improvements

  • The AMM ML model features the following enhancements:

    • Improved age extraction

    • Handling of entity name aliases in texts, for instance, entity also known as name, or entity a.k.a. name, and so on

  • The ML model and JNW resources are optimized to reduce memory usage.

  • To facilitate troubleshooting, we improved error logging when the Ad hoc Investigation Business Process (BP) fails due to the AMM core BP configured with Signal ID.

Bug fixes

  • Fixed the issue when the File ingestion BP failed to initiate the core AMM BP causing the original file to be deleted without a possibility to repair the File ingestion BP or view the original file.

  • Fixed the issue with the incorrect display of Spanish custom review statuses on the manual review assignment page.

  • Fixed the issue when AMM incorrectly attributed article data as an unsupported language.

  • Fixed the issue with incorrect investigation statuses contained in emails.

  • Fixed the issue when the ML model considered the reporter's name as an entity's name.

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