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Agents Jira Conversational Insights Agent
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Jira Conversational Insights Agent

Leverages JQL and NLP to provide quick, context-driven insights from Jira tickets, attachments, and procedural documents.

About the Agent

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

Input Data Set

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?

Deliverable Example

Sample output delivered by the Jira Conversational Insights Agent:

Project Summary: PAYMENTS-PLATFORM – March 2025


    

  • Total Issues Resolved: 38
    • 

  • Customer-Impacting Tickets Identified: 6
    • 

  • Outage Events: 2 incidents with confirmed downtime
    • 

  • Date Range Queried: March 1 – March 31, 2025
    • 





High-Impact Resolved Tickets


PAYMENTS-4421 – API Failure During Peak Load


    

  • Impact: 7-minute outage; 503 errors for ~6% of transactions
    • 

  • Cause: Memory leak in payment gateway service
    • 

  • Fix: Upgraded JVM runtime, added circuit breaker pattern
    • 

  • Postmortem: Link to doc
    • 

  • SOP Updated: Yes (see "Payment API Resilience SOP")
    • 



PAYMENTS-4408 – Failed Webhook Deliveries to Merchant Systems


    

  • Impact: 14 affected merchants; delivery success dropped to 63%
    • 

  • Cause: Retry queue misconfiguration after Redis update
    • 

  • Resolution: Queue parameters adjusted, Redis client upgraded
    • 

  • Attachment (OCR): Stack trace analysis PDF included
    • 



PAYMENTS-4415 – Latency Spike in EU Payment Region


    

  • Symptom: >2s latency for card payments in EU for ~20 minutes
    • 

  • Cause: Unbalanced load routing in CDN layer
    • 

  • Fix: Updated geo-routing rules, improved load test thresholds
    • 





Knowledge Extracted from Comments & Attachments


    

  • Engineers noted a pattern of cascading failures in the payment pipeline after Redis changes.
    • 

  • Root cause themes: Memory pressure, queue saturation, misaligned monitoring alerts.
    • 

  • New Tags Added: redis-failure, webhook-latency, api-memory-leak
    • 

  • Referenced SOPs:
      

    • Payment API Resilience SOP
      • 

    • Merchant Integration Retry Handling SOP
      • 

    

    •

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