Helvia.ai Release 2026.02.26

26 February 2026

1. Tags from Automated Tests Available in Chat Sessions

You can now configure tags in automated tests and have them automatically passed to Chat Sessions when tests run. This improves visibility, organization, and traceability across your automated testing and AI conversations, helping teams quickly identify and analyze specific test scenarios.

Instructions: Add tags when creating or editing an automated test configuration. These tags will be automatically included in the Chat Session once the test starts.

Example use case: Tag tests as “Regression,” “Onboarding,” or “VIP Customers” to easily track how your AI agents perform in critical business scenarios and quickly review related Chat Sessions for validation or troubleshooting.

2. Update Contact Variable Values Directly in Flow Editor

This feature enables you to update existing contact variable values directly from the Variable node in the Flow Editor. This makes it easier to maintain accurate customer data across flows and ensures your agents always use the most up-to-date information without workarounds or duplicated nodes.

Instructions: In a Variable node, select an existing contact variable from the dropdown or autocomplete list, then assign the new value. The contact variable will be updated and available across all flows and future interactions.

Example use case: In a customer support agent, update a contact’s “SubscriptionStatus” or “CustomerTier” after a successful upgrade, allowing future conversations to automatically adapt responses, prioritise VIP customers, or trigger personalised workflows.

3. In-Progress Indicator for “Save Changes” in Knowledge Base

When saving an article in the Knowledge Base, the “Save Changes” button now displays a loading indicator to clearly show that the save process is in progress. This provides better UX, prevents duplicate clicks, and increases confidence that updates are being successfully processed across KB Articles and AI Agent Intents.

4. Custom Rating Forms Now Available in WebChat

You can now configure and display custom rating forms in WebChat, allowing you to collect up to two custom ratings and optional feedback within a single interaction. This enables more advanced feedback collection beyond standard CSAT, helping you measure specific aspects of the customer experience such as agent performance, resolution quality, or overall satisfaction.

Once it has been set up, it will appear to the end user in a format similar to the existing CSAT.

Example use case: After completing a support request, ask customers to rate both the “Helpfulness of the response” and the “Speed of resolution,” and collect an optional comment. You can store these responses to identify improvement areas, trigger follow-ups for low ratings, or track service quality across teams.