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The Jira Based Conversational Agent enables users to interact with Jira data using natural language, transforming how engineering, operations, and support teams access information. Instead of relying solely on Jira Query Language (JQL) or manual filtering, users can simply ask questions in plain language to retrieve insights from issues, attachments, comments, and linked documentation.
The agent combines advanced natural language processing (NLP), semantic search, and JQL interpretation to understand user intent and return relevant, context-rich results. It processes structured and unstructured data across multiple projects, intelligently surfacing information such as ticket histories, resolution steps, related SOPs, and team discussions—without the need to manually navigate through the Jira interface.
This conversational interface accelerates knowledge discovery and reduces time spent on repetitive searches or escalations. It supports real-time use cases, including incident response, sprint planning, and onboarding, and continuously improves its accuracy through feedback loops and usage patterns.
By enabling faster, smarter access to operational insights, the Jira Data Conversational Query Agent empowers teams to make informed decisions and scale knowledge sharing across the organization.
Accuracy
TBD
Speed
TBD
Sample of data set required for Jira Conversational Insights Agent:
Can you give me a quick rundown of what major issues were resolved in the PAYMENTS-PLATFORM project last month, especially around outages or customer-impacting bugs?
Sample output delivered by the Jira Conversational Insights Agent:
Project Summary: PAYMENTS-PLATFORM – March 2025
PAYMENTS-4421 – API Failure During Peak Load
PAYMENTS-4408 – Failed Webhook Deliveries to Merchant Systems
PAYMENTS-4415 – Latency Spike in EU Payment Region
redis-failure
, webhook-latency
, api-memory-leak
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