Q1 2025

Release Name: 2025-Q1-V03

Build Version: 25.1.2.1645 ec2 and eks

Release Date: January 24^th, 2025

Highlights of the Current Release

• Ushur Studio

  • Performance Optimizations and Product Hardening for Quote Intake Engine: Faster processing and increased scalability for large-scale engagements.

  • Nested Zip Extraction Support in UDE: Support for extracting files from nested Zip archives.

  • Improved Date Format Conversion: Accurate MM/DD/YYYY date conversion in .CSV files.

  • (Human-in-the-Loop (HITL):

    • Support for .DOC and .DOCX Files: Supports data extractions and validation of the Word documents.

    • Support for Excel (.XLSX) Files: Supports data extractions and validation of the Excel documents.

• Analytics

  • User Journey Map: Visualize workflow performance, monitor engagement metrics, and refine campaign analytics.

• Reports

  • SSH Key Support for SFTP Connections: Users can now configure SSH Keys as an alternative to passwords for improved authentication and security.

• Invisible App

  • Enhanced Accessibility Features: WCAG 2.2 AA and Section 508 compliance for an inclusive user experience.

• Ushur Hub

  • Summarization Feature for Feedback Loop: Real-time validation and error reporting for document uploads.

• Ushur Legacy

  • UI Terminology Update: Replaced "Blacklist" with "Blocklist" across the platform for better alignment with modern standards

Ushur Studio

Performance Optimizations and Product Hardening for Quote Intake Engine

Enhanced the Quote Intake Engine for faster processing, increased scalability, and comprehensive data extraction.

Description

The Quote Intake Engine has been optimized to handle large-scale engagements efficiently and accurately.

Benefits:

• Process engagements with up to 25+ attachments and 400-500 keys in under 2 minutes.

• Extract all entities from plan design documents without custom field configurations.

• Simplify field selection with a catalog of 1000+ predefined fields.

• Ensure accurate extraction and transformation of complex data like census information.

• Deliver faster, scalable, and highly accurate document processing.

For more information, refer to Quote Intake.

Nested Zip Extraction Support in Quote Intake UDE

• Support for extracting files from nested Zip archives in Quote Intake Unstructured Document Extraction (UDE) process.

Improved Date Format Conversion in .CSV Files Short Description

• Improved the date transformations in .CSV files to ensure accurate conversion to the MM/DD/YYYY format when the day value is between 1 and 12.

Support for Viewing .DOC and .DOCX Files in HITL

• The HITL interface now supports viewing .DOC and .DOCX files by converting them to PDF, enabling users to validate data extraction from Word documents effectively.

  For more information, refer to Human-in-the-Loop Feature.

Support for Excel (.XLSX) Files in HITL

HITL now supports rendering Excel (.XLSX) files, allowing users to review extracted data in an interactive table format.

Description:

• Excel files are displayed alongside other document types in the document list.

• Interactive data tables show worksheet data, including tabs for navigating between sheets.

• Extracted data highlights the source in the Excel grid when clicked, enabling quick validation.

• Seamless integration ensures efficient handling and validation of Excel-based extractions.

For more information, refer to Human-in-the-Loop Feature.

AI Agent

Enhanced AI Agent Performance and Operational Metrics

Introduced new metrics for evaluating AI system efficiency, user experience, and safety, along with ROI and operational insights.

Description:
This update provides comprehensive metrics to monitor and improve AI agent performance, scalability, stability, ensuring enhanced user experience, safety, and operational efficiency.

Benefits:

• Track Human Support Metrics like request rates and resolution times.

• Measure User Experience Metrics such as interaction counts and satisfaction scores.

• Monitor Performance Metrics, including successful authentications and AI response times.

• Evaluate Safety & Risk Management with guardrail triggers and crisis intervention data.

• Gain insights into ROI Metrics, such as monthly active users and weekend interactions.

• Ensure security through advanced monitoring for potential risks and anomalies

For more information on AI agents, refer to AI Agent.

Analytics

Analytics - User Journey Map

The User Journey Map is now available in Campaign Analytics, comprehensively visualizing user behavior and engagement within workflows.

Description

The User Journey Map helps you track and analyze user interactions within workflows, identifying trends, optimizing processes, and improving overall engagement.

Benefits:

• Visualize Workflow Performance: Gain a clear understanding of user paths, from initiation to completion, with Sankey-style visualizations.

• Monitor Engagement: Track key metrics like user counts, drop-offs, and transitions at each step of the workflow.

• Refine Data Analysis: Use advanced filters (e.g., Launch Date, UID Search) to focus on specific campaigns or users.

• Improve Campaign Effectiveness: Identify areas of improvement and enhance workflows for better completion rates and user satisfaction.

• Simplify Navigation: Utilize the minimap to easily navigate large, complex workflows and maintain context.

For more information, refer to User Journey Map.

Note

This feature is available for enterprise users. Please contact your Customer Success Manager to enable it.

SSH Key Support for SFTP Connections in Reports

Added support for SSH Key-based authentication (256–512 characters) in SFTP Connections for Reports.

Description

Enhanced the SFTP Connections feature with the ability to authenticate using SSH Keys, ensuring better security and flexibility for users.

Benefits

• Users can now configure SFTP connections with SSH Keys (256–512 characters).

• Enables smooth uploads using SSH Key-based authentication.

• Option to select between password or SSH Key authentication.

• Secure storage of SSH Keys, ensuring they are not displayed back in the UI.

• Enhanced compliance with secure authentication practices.

• Tracks success and failure events for better visibility and monitoring.

For more information, refer to SFTP Connections.

Invisible App

Enhanced Accessibility Features in Invisible App

The Invisible App now meets WCAG 2.2 AA and Section 508 compliance, introducing new accessibility features designed to create a more inclusive digital experience for all users.

Description

Invisible App has been enhanced with key accessibility updates that comply with WCAG 2.2 AA and Section 508 standards. These improvements provide the following benefits:

• Color Contrast Compliance Checker: Brand Color Guardrails ensure all selected primary colors meet WCAG standards and are marked as "Not compliant," "AA," or "AAA" for easy accessibility validation. Refer to the Invisible App Tab.

• Screen Reader Support: Proper labeling across all components allows seamless interaction for screen reader users.

• Keyboard Navigation: Enables intuitive navigation of all interactive elements using keyboard controls, such as tab, arrow, and enter keys. Refer to Navigation within Invisible App.

• Focus State: Visual indicators help users identify their current position on the page.

• Required and Optional Field Indicators: Invisible App marks required fields with a "*" and optional fields as "(Optional)" on the right side of the fields, providing clear guidance to users and minimizing confusion during form completion. Refer to Form Module.

  

• Field Labeling Option: This feature allows Citizen Developers to add custom field labels for form fields, improving the content structure and user understanding. Refer Form Module.

  

• Alt Text for Images: This option allows descriptive text to be added to images, making them accessible to visually impaired users or when images fail to load.

• Autocomplete Management: Provides autofill options for form fields, streamlining the user experience. Refer Form Module.

Ushur Hub

Ushur Hub - Summarization Feature

Introducing the Feedback Loop Summarization feature in Ushur Hub for streamlined file validation and issue management.

After Validation – Success

After Validation – Issue(s) Found

Description:

The Ushur Hub - Summarization feature in Ushur Hub introduces a feedback loop for document uploads, enabling real-time validation and error reporting. Ushur's Intelligent Document Automation (IDA) system processes CSV and Excel files, generates a data validation summary, and highlights records requiring corrections. This empowers end-users to promptly address issues, re-submit files, and ensure data accuracy and efficiency across downstream systems.

Benefits:

• Real-Time and Efficient Validation: Automatically validates uploaded files and summarizes detected issues in real-time for quicker resolution.

• Error Highlighting: Identifies and highlights records requiring corrections for seamless error resolution.

• Improved Accuracy: Ensures accurate data submissions, reducing back-and-forth between users and enterprise teams.

• Streamlined Integration: Supports CSV and Excel uploads with smooth integration into Ushur workflows.

• Seamless Resubmissions: Enables users to resubmit corrected files directly through the portal.

• User-Friendly Experience: Provides actionable insights via the Ushur Hub interface, boosting user confidence in submissions.

• Secure Data Handling: All file exchanges occur over the Hub's encrypted infrastructure.

Ushur Legacy

UI Terminology Update - "Blacklist" to "Blocklist"

Description

The "Blacklist" tab and “Black To White” tab and all associated labels, buttons, and text in the Ushur Platform Legacy (builder 1.0) have been updated to "Blocklist" or “Block” to align with current standards and terminology.

For more information, refer to Blocklist Tab and Block to Whitelist Tab.

Miscellaneous

• UI Improvement: Enhanced user interface for a more intuitive experience.

• Bug Fixes: Resolved bugs to ensure smoother operation.

• Performance Improvement: Enhanced Performance, Scalability, and Stability for AI Agents and the Invisible App.