Follow-up from
Overview
We would like ticket summaries to be automatically generated for all tickets, without requiring agents to manually click “View Ticket Summary.”
Currently, the summary field only populates once an agent triggers this action, which leaves the field blank until that point.
As a result, summaries are unavailable in Views, Explore reports, and the API until manually created.
This affects agents, admins, and analytics teams who rely on complete, consistent summaries for reporting, automation, and intent analysis.
Problem
Only a small fraction of tickets (approximately 3% of the thousands we receive daily) currently have summaries.
Most tickets (e.g. “Where is my order?” enquiries) are resolved quickly and never trigger manual summarization.
Without these summaries, it’s difficult to perform meaningful, large-scale analysis of customer interactions beyond the assigned intent predictions. The missing summaries create significant blind spots in analytics, automation, and performance benchmarking.
Problem Solved
Automatic summarization would ensure every ticket includes a generated summary, allowing it to appear consistently in Views, Explore, and API exports.
This would deliver full data coverage for analytics, intent validation, and automation, without requiring any manual agent intervention.
Impact & Frequency
We handle thousands of tickets per day, but only ~3% contain summaries due to the manual process.
This limitation impacts us daily, hindering:
Automation workflows dependent on the summary field
Large-scale analytics and intent modelling
Accurate reporting and performance insights
The lack of automatic summaries results in incomplete datasets and reduced reliability in Zendesk Explore and API-driven reports.
Workaround
We developed an internal ZAF app (“AI Summary Auto-Trigger”) that attempts to simulate the summary click. However, ZAF does not allow interaction with UI elements outside its iframe, making this workaround technically infeasible.
Ideal Solution
Ticket summaries should auto-generate automatically upon ticket creation or update, with results immediately available via API, Views, and Explore datasets, eliminating any manual dependency.
This would:
Enable complete coverage for intent and topic modelling
Improve anonymized analytics and performance insights
Allow validation of Zendesk-assigned intent taxonomy accuracy
Without automated summarization, these capabilities remain limited to roughly 3% of our data, and manual triggering is not viable at enterprise scale.


