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Version: 4.5

Release notes

Version 4.5.4​

About Release
  • Release date: August 25, 2026
  • Compatible platform version: Work.AI 10.3.0+

The v4.5.4 Evan release introduces new human-in-the-loop settings that require Manual Task reviewers to specify review reasons and decision explanation comments at the article level or when closing investigations. The settings are available on the Human-in-the-loop step in the AMM configuration interface:

  • If the Require Review Reason when closing an investigation? and Require Decision Explanation when closing an investigation? options are set to Yes, reviewers cannot save or close an investigation until the review comment and decision explanation are provided.

  • If the Require Review Reason for article decisions? and Require Decision Explanation for article decisions? options are set to Yes, reviewers cannot save or close an investigation until review comments and decision explanations are provided at the article level.

Version 4.5.3​

About Release
  • Release date: May 19, 2026
  • Compatible platform version: Work.AI 10.3.0+

The v4.5.3 Evan release enhances the External Source data ingestion configuration to provide greater clarity, control, and flexibility in article retrieval and investigation status handling.

  • The Retrieve articles from the plugged connector checkbox was replaced with a radio button group. You can now explicitly choose between Input data (default) and Plugged connector as article sources.

  • Evan now also allows conditional application of investigation statuses based on the selected article source. For Input data, you can set the AI Agent to apply only the False Positive status (default) or all incoming investigation statuses. When Plugged connector is selected, investigation status handling follows the connector’s existing logic.

Version 4.5.2​

About Release
  • Release date: April 17, 2026
  • Compatible platform version: Work.AI 10.3.0+

The v4.5.2 Evan release improves the reporting accuracy and the AI Agent's operational reliability by strengthening data consistency and resolving issues that could impact investigation outputs.

  • Evan's reports now consistently display the Reviewed by field for reviewed articles, even when an article contains an error. The updated logic prioritizes displaying the reviewer’s name whenever available, falls back to Auto for error-free articles without a reviewer, and leaves the field empty only when an error occurs without an assigned reviewer. The improvement increases the reporting accuracy and strengthens data visibility, auditability, and trust in AMM insights for operational and compliance workflows.

  • We have resolved the issue with failed article downloads incorrectly filtered as LANGUAGE_MISMATCH and shown as Untitled. Such articles are now sent to a Manual Task and retain their original titles when the language is set to English.

Version 4.5.1​

About Release
  • Release date: April 8, 2026
  • Compatible platform version: Work.AI 10.3.0+

The Evan 4.5.1 release updates the decision reapplication (DR) logic and improves the handling of shorthand decision lists.

Improvements

  • Instead of reapplying investigation-level decisions regardless of article-level outcomes, Evan now reapplies decisions only at the article level. Straight-through processing occurs only when all articles in an investigation are false positives, and the entire investigation is marked as false positive, too.

  • Evan now boasts two separate shorthand decision lists for Level 1 and Level 2 reviews. The update improves the transparency of the review process, streamlines the review workflow, and reduces the risk of incorrect or inconsistent decision usage across levels.

Bug fixes

  • Resolved the issue that caused the Natural Language Process (NLP) model to fail with an out-of-memory error.

  • Eliminated the machine-learning (ML) model memory allocation issues, so now the Adverse Media Monitoring Business Process completes without errors.

  • Resolved the shorthand decision handling issue in the Manual Task workflow. When multiple shorthand options are selected and then removed, associated comments are now deleted as expected.

Version 4.5​

About Release
  • Release date: March 18, 2026
  • Compatible platform version: Work.AI 10.3.0+

The Evan 4.5 release enhances data sourcing flexibility, gives you greater control over investigation outputs, and introduces more precise model configuration. Improvements in error handling, duplicate detection, filtering logic, and reporting clarity can help you streamline adverse media processing and deliver more reliable results.

New features

  • Evan now supports Brave Search as a new out-of-the-box data provider you can configure in the Input step, which expands the range of available intelligence inputs and improves your flexibility in data acquisition.

    To reduce dependency on out‑of‑the‑box connectors and expand input sourcing options, we have enabled integration with custom or third‑party connectors through the External Source provider. The Thomson Reuters CLEAR connector is now also configured using the External Source provider and dedicated steps in the Core AMM Business Process.

  • We have introduced a new configuration option in the Output step to let you choose whether articles are included in the output payload. The setting gives you greater control over the structure and volume of the data sent to downstream systems. Thus, you can improve data efficiency and streamline processing where lighter or more targeted outputs are required.

  • Evan now offers more configurable controls for name matching, adversity, and focality across multiple models on the Investigation step. The new configuration options empower you with the following capabilities to accelerate investigations, improve decision quality, and cut manual effort:

    • Using the NLP (Natural Language Processing) model or the Jaccard similarity index for duplicate content processing

    • Calibrating the adversity, focality, and name-matching thresholds for Spanish- and English-language models to align the model output with your review criteria

  • The Core AMM Business Process can now return an error response instead of failing entirely when an exception occurs, giving you greater control over how errors are handled and reducing unnecessary process interruptions. You can enable the option on the Output step of Evan's configuration using the new How do you want Evan to handle errors? setting.

Improvements

  • The AMM input now includes the new review_availability_date field propagated to downstream systems. With the new value, investigations where the availability date is earlier than the current one are automatically filtered out and not displayed in Workspace so that reviewers can focus only on relevant cases. The improvement streamlines workload management, reduces noise in investigation queues, and supports more efficient operational decision‑making.

  • The AMM Business Process has been enhanced to support grouping duplicate articles using the new NLP model, enabling more accurate identification of semantically similar content. By leveraging improved language understanding, the system can detect and consolidate article duplicates earlier in the workflow, reducing redundancy and improving data quality.

  • Evan now enables full configuration of article‑filtering rules for every data provider directly within the configuration settings, giving you fine‑grained control over which articles enter your investigation workflow.

  • We have unified the Thomson Reuters CLEAR connector contracts with the External Source provider contracts, creating a single, consistent model for furture integration with other connectors.

  • The final report content has been refined to include only identified high‑risk countries. This enhancement reduces noise and improves overall report clarity, helping your teams prioritize investigations with greater accuracy and confidence.

  • Evan’s machine learning (ML) model now features enhanced name detection logic, enabling more accurate identification of relevant entities across diverse article content. The update strengthens data quality, ultimately improving the efficiency and accuracy of investigations.

  • LLM prompts have been improved with additional guardrails and focality filtering to improve entity selection accuracy and overall model quality.

  • Evan now allows you to resubmit completed AMM investigations directly through the dedicated Submit Investigation UUID Request Manual Task within the AMM Quality Control Business Process. You can open the task and manually enter the ID of the investigation you want to resubmit, which provides a more convenient way to trigger reprocessing and streamlines operational workflows.

  • The AMM output has been enriched with additional article‑ and investigation‑level fields, giving teams deeper visibility into investigation context and improving downstream analytics. The REST response on the article level now includes such new fields as mlComment, updated reviewComment, comment, mlInvestigationStatus, mtInvestigationStatus, and manualReviewInvestigationStatus. At the investigation level, the response comprises the following new fields: investigationDate, mlInvestigationStatus, manualReviewInvestigationStatus, and mlModelId.

Deprecations

  • The Maximum articles count limit has been removed from the AMM's configuration user interface.

Bug fixes

The following issues have been corrected:

  • Resolved the issue when only the translated_article_link field was present in the event payload during validation of analytics events. The analytics event now includes all article link fields so that the Article Link value can be resolved.

  • Eliminated the issue when the translated_article_link property was not copied to the new investigation result during an AMM investigation rerun.

  • Resolved the problem when duplicate articles lost their assigned False Positive status after a manual review task was reopened. Evan now preserves the same False Positive disposition for duplicate articles throughout the task life cycle, ensuring consistent review behavior.

  • Eliminated parsing failures for downloaded articles.

  • Resolved the issue when the data purge step failed with a com.workfusion.spa.core.execution.api.task.GenericTaskFailedException error. The failure occurred when no records were eligible for the purge. Now, the purge task returns a proper response, and the task no longer fails at the very end of execution.

  • Addressed the failure at the HTML report generation step caused by compression rule violations.

  • Corrected the handling of input data containing multiple subdivisions with the same country and subdivision code, which previously caused AMM to fail.

  • Fixed the parsing error handling in the course of AMM Core Business Process execution. Large PDF files are now properly flagged as errors.

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