March 2026 Release Notes

AI-Generated Requirement Localization

Requirement generation now includes explicit localization control to ensure consistent language output. Users can select their preferred output language when adding new templates, improving translation accuracy and standardization across generated Requirements. This localization control ensures predictable and consistent results aligned with user intent.

Seemore Copilot AI Accuracy and Responsiveness

This release delivers significant improvements in accuracy, performance, and response quality for Seemore Copilot.

• Indexing and embedding mechanisms have been refined to deliver more precise results and improve the accuracy of returned citation URLs.

• Responses are now more concise while maintaining relevance and clarity

• Seemore now reflects real-time results from Panaya’s Success Center, ensuring responses remain up to date and aligned with the latest documentation.

• Overall performance has been optimized for faster interactions.    

Panaya Testing

Complete Missing Test and Step Data with AI

Our team has introduced an AI-driven “Fill Missing Data” option that enhances test quality and standardization by automatically generating content for empty fields in tests and steps.

Let AI fill in the description, prerequisites, objectives, expected results, transaction, and module fields. Use the new “Improve” button to preserve all existing data and provide suggestions where information is missing.

New APIs for Tests and Defects

This release introduces new API endpoints to strengthen traceability and reporting across tests and defects.

• Retrieve all defects linked to a specific test

• Access all test runs associated with a test

• Retrieve tests using multiple combinable filters (status, type, owner, component, and date range)

• Return all Ready to Test steps within a project.

These enhancements provide precise data access to support automation, integration, and advanced reporting.

Video Recorder Enhancements

This release delivers a set of powerful enhancements to Panaya’s Video Recorder, improving accuracy, usability, and evidence.

• Smart Report Enhancements
  Smart Reports now produce fine-tuned results, with screenshots captured at the right moment for better clarity. The active screen is captured before each user action, and validation statements now include both success and error outcomes. These improvements are supported across SAP GUI, Salesforce, and web applications.
  
  

• Retest and Close
  When a defect is fixed, and the tester retests the step using the video recorder, a prompt appears, allowing the tester to close the defect directly, simplifying the validation and closure process.
  

• Export Enhancements
  We expanded the option to export video evidence for multiple tests. Users can export evidence at the Folder level into a single consolidated file (for tests where Smart Report has been generated).
  

• Deleting Test Evidence
  Video Test evidence can now be deleted. Deleting evidence removes both the video recording and the associated Smart Report.
  

Cloning Global Defects Between Projects

Defects can now be cloned from one project to another while ensuring that the original defect and its associated project remain intact. This enhancement preserves traceability while enabling the reuse of defects across projects.

Defect Influence Details in AI Summary

The AI-powered Defect Summary now incorporates defect Influence details into the generated summary. In addition to describing the defect, the summary now includes impacted tests and test steps, along with the associated Influence type.

By embedding influence context within the AI summary, teams gain immediate visibility into blocking impact and handling priority, enabling faster, more informed decision-making without having to navigate to additional tabs.

Panaya for SAP

Automatic Code Corrections Coverage enhancements

Function Module Calls Enhancements

• Management Improvements
  During project creation or editing, administrators can control whether Function Module calls are included in the analysis scope.

• Coverage improvement
  Change detection expanded to include behavioral categorization with confidence scoring, explicit primitive-type changes, and class-method structural and type changes.
  Performance improved through parallelized analysis, optimized LLM-type comparison calls, and unified prompt parameter handling for greater efficiency and consistency.
  
  

S/4Code: Progress Status Recalculation

S/4Code now supports recalculating progress statuses to align with the newly introduced status for partially submitted fix packages. This update ensures accurate status progression and consistency across the fix package lifecycle, improving traceability and operational clarity.

S/4Code: Submitting Assisted Fixes

The Submit capability is now available for Assisted fix packages, aligning them with all other supported fix package types.

This enhancement includes dependency handling between code corrections of type Automatic and Assisted, ensuring coordinated submission and consistent lifecycle management. The submission process now also provides clear visibility into unsuccessful submissions, enabling faster identification and resolution of issues.

AI Improvements for Assisted Fixes

This release delivers targeted AI enhancements that improve precision, scalability, and governance for Assisted fixes.

• AI engine precision improved by extending the full fix plan context provided to the agent.

• ABAP programs up to 10K lines of code are now supported, significantly increasing coverage for large objects.

• Code changes are now strictly limited to the reported affected block, reducing unintended modifications.

• Additional parameters are passed in each agent run, strengthening traceability and internal debugging visibility.

Test Automation

Click here for our Test Automation product updates.