Release notes
Version 3.10.5
- Release date: April 23, 2025
- Compatible platform version: Work.AI 10.2.9+
The v3.10.5 patch resolves the issues causing the machine learning model to disposition articles incorrectly.
Version 3.10.4
- Release date: March 24, 2025
- Compatible platform version: Work.AI 10.2.9+
The v3.10.4 patch resolves the issue when report generation failed if an article was taken from an external source and its language was not detected.
Version 3.10.3
- Release date: March 11, 2025
- Compatible platform version: Work.AI 10.2.9+
The v3.10.3 patch ensures that HTML formatting is retained for manually submitted content in External Provider tasks, making links clickable and improving readability.
The patch also adds the focality feature to the Spanish ML model, improving accuracy in context-sensitive language processing.
Version 3.10.2
- Release date: February 17, 2025
- Compatible platform version: Work.AI 10.2.9+
The patch fixes the issue with missing Residence Country and Citizenship Country fields in the CSV template for Ad-Hoc tasks, ensuring complete data availability for manual processing.
Version 3.10.1
- Release date: February 7, 2025
- Compatible platform version: Work.AI 10.2.9+
The v3.10.1 patch aims to optimize the SQL statements to reduce database bottlenecks and improve its performance. To avoid deadlocks, we started to explicitly use ROWLOCK for UPDATE operations, forcing locks to be taken only on rows without escalating to tables and pages.
In addition, the patch includes a number of fixes to correct identified issues:
Fixed the issue when only a summary was shown instead of the entire content for duplicate articles.
Resolved the problem when an opened article was considered as reviewed.
Fixed the issue when the LLM model generated an incorrect narrative.
Version 3.10
- Release date: January 23, 2025
- Compatible platform version: Work.AI 10.2.9+
New features
The v3.10 release features a landmark branding change: Evelyn AMM was renamed to Evan. Other important changes are aimed at extending supported third-party Artificial Intelligence (AI) providers and languages backed by AI, improving the AI Agent's performance, and enhancing your user experience with it.
The Large Language Model (LLM) used for Evan AMM now supports the Spanish language, empowering AI to assist you in processing documentation in languages other than English.
In addition to the out-of-the-box LLMs by OpenAI, you can now leverage models by Mistral, Google, and Anthropic to help you save time and manual effort on dispositioning articles.
To bypass website anti-bot protection and increase the automation rate, Google, Thomson Reuters, and the External Source feature were integrated with the Scrape.do tool. You can turn the tool on or off during the AI Agent configuration.
Instead of managing human-in-the-loop tasks from Workspace, you can set ad hoc search requests to be distributed automatically straight from the AI Agent's configuration user interface. Simply select the Always assign all the "Human in the loop" tasks to the person who initiated the investigation? checkbox in the Ad Hoc investigation settings section.
From the configuration interface, you can also choose the fields to be included in ad hoc search request templates. The fields are generated automatically based on the settings, giving you more control over the information you include in or exclude from manual reviews.
To optimize review traceability and support quality assurance efforts, we enabled sending
reviewerEmailinArticleResponseDtoandTransactionResponseDtoas part of the REST API output.To help you sort and filter data in Workspace more efficiently, we introduced the
sla_dateinput variable to the Manual Task schema. The variable allows applying a custom filter based on the Service Level Agreement date.
Improvements
To avoid confusion and provide consistency across WorkFusion products, all AI references in LLM settings were changed to GenAI.
We enhanced your user experience with the flow for sending location information when integrating a new provider, making it better structured and more consistent. The enhancements covered the country of incorporation and residence country entities and the logic to accept names in subdivisions.
The validation of location fields can now be disabled from the user interface, giving you more flexibility in how you apply the feature.
The frequency of updates in AMM was reduced to optimize the solution's performance.
To improve the search efficiency, updates were made to the ignore and paywall website lists.
Bug fixes
Fixed the issue when ad hoc tasks were submitted with an empty entity list.
Eliminated the problem when generating a quality report caused errors in Business Processes.
Fixed the article parsing issue.
Fixed the issue when narratives could not be found for the
ARTICLE_PARSINGadjudication code.Fixed the issue when the Manual Task header section displayed the Type of the search entity twice.
Fixed the issue when PDF articles were not filtered during the file type filtering.
Fixed the issue when the file ingestion always sent a
NEEDS_INVESTIGATIONstatus in the article data, even if not processed with Name Sanction Screening (NSS).Fixed the issue when the machine learning model incorrectly dispositioned the entity type for complicated names.
Fixed the AMM failures when the article data array contained null values.
Eliminated the problem with the incorrect input file template on the ad hoc search screen.
Fixed the issue with the incorrect title appearing on the AI Agent's configuration screens.