What's New — May 16, 2026

What's New — May 16, 2026

This month's updates give you more precise control over your quality and automation workflows. We're moving beyond one-size-fits-all analytics to a more tailored experience, allowing you to fine-tune how AI generates insights and when it triggers actions. These changes help you target the exact conversations that matter, customize outputs to match your business language, and make your automated processes more intelligent and efficient.

Executive Summary

Precise Automation Triggers — Target workflows by specific AI summaries, giving you granular control to route call reasons, CSAT insights, or compliance checks to the right people and systems.

Redesigned Chat Sidebar — Find key conversations and liked AI responses instantly with a completely new sidebar featuring smart filters, tabs, and a dedicated view for your best AI-generated answers.

Highlights

Precise Automation Triggers — Target Workflows by Specific AI Summary

Previously, automations triggered by a "New summary added" event would fire for every type of summary, from CSAT extraction to call reason. This created noise and forced you to build complex filtering logic in downstream tools like webhooks or external scripts to take the right action.

Trigger with precision: You can now scope an automation to run only when a specific summary prompt (e.g., "Call Reason" or "Compliance Check") generates a result, eliminating unwanted noise.

Build safer workflows: The system now prevents you from archiving a summary prompt that is actively used in an automation, protecting your critical workflows from being accidentally broken.

Simplify integrations: Send targeted webhooks to different systems based on the summary type, reducing processing overhead and simplifying your integration architecture.

  • Before: An automation set to trigger on "New summary added" would fire for every summary, regardless of whether it was a CSAT analysis or a compliance flag.
  • After: You can select one or more specific summary prompts in the trigger, ensuring the automation only runs for the exact AI insights you care about.
  • In practice: A QA Manager, Sarah, configures one automation to send "Compliance Check" summaries to a dedicated Slack channel and another to push "Call Reason" summaries into their CRM, all without writing a single line of code.

Get started: When building an automation, select the New summary added trigger and use the new Summary prompt filter to select the prompts that should activate the workflow.

Redesigned Chat Sidebar — Find Key Conversations and Liked AI Responses Instantly

The previous chat sidebar was crowded, making it difficult to navigate between your own chats, shared conversations, and scheduled runs. Most importantly, there was no easy way to save and revisit the most insightful AI responses you'd discovered and "liked" with a thumbs-up.

Revisit your best AI insights: A new "Liked" filter instantly shows you every chat where you've given a thumbs-up to an AI response, making it simple to find examples for coaching or reports.

Navigate faster with a cleaner layout: A streamlined two-tab design ("Chats" and "Schedule") combined with smart filters (All, Mine, Shared, Liked) helps you find what you need with fewer clicks.

Manage chats more efficiently: Compact two-line list items let you see more conversations at a glance, and you can now duplicate or delete scheduled-result chats directly from the sidebar menu.

  • Before: The sidebar had multiple competing sections, and finding a chat with a specific high-quality AI response required remembering the conversation and searching for it manually.
  • After: A dedicated "Liked" filter chip surfaces all your approved AI answers in one click, and a tabbed interface cleanly separates active chats from scheduled runs.
  • In practice: A Team Lead, David, is preparing for a one-on-one and uses the "Liked" filter to instantly pull up three examples of perfect AI-generated summaries to share with his agent as best practices.

Get started: Open any chat workspace to see the new sidebar. Use the Chats and Schedule tabs at the top and the new filter chips to narrow your view.

Improvements

Customizable Notification Emails — You can now control exactly which content blocks (Topics, Summary, QA Scores, and the new CSI block) appear in automated notification emails. In any "Send Notification" action, expand the "Advanced" panel to tailor emails for each audience, reducing clutter and focusing attention on what matters.

Accurate Automation Triggers for Interaction Intensity — Automation tasks that use an "Interaction Intensity" filter will no longer be falsely triggered by unrelated CSAT summary events. Your intensity-based alerts are now more reliable, firing only when a conversation's dynamics actually match your configured threshold.

Customizable Speaker Labels for AI Analysis — Align AI-generated reports with your company's vocabulary. You can now define custom display names for "Agent" and "Client" (e.g., "Specialist" and "Guest") directly in your settings. These labels will automatically apply to AutoQA evaluations, summaries, and other AI-driven analysis.

Consistent Language in AI Summaries — AI-generated outputs like conversation summaries and Interaction Intensity indicators now consistently use your organization's primary language setting, even on bilingual calls. This ensures your reports and analytics are uniform and readable for your entire team.

Fixes

▸ Session date and time changes made in the "Edit Session" form are now saved correctly.

▸ Dashboard filter chips are now more compact, no longer wrap to a second line, and gracefully handle long names.

▸ The EnderGPT chat composer provides a clearer, more stable experience while a response is being generated.

▸ Improved the internal migration process to better protect customized AutoQA prompts during platform updates.

Client
Burnice Ondricka

The AI terminology chaos is real. Your "divide and conquer" framework is the clarity we needed.

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Client
Heanri Dokanai

Finally, a clear way to cut through the AI hype. It's not about the name, but the problem it solves.

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