AI based on Jira Issues and Project Updates

Introduction

What is Jira?

Jira is a project management and issue-tracking tool developed by Atlassian. It helps teams plan, track, and manage work by providing features for bug tracking, task management, and agile project management methodologies like Scrum and Kanban. Ideal for software development and IT teams.

What is CogniVis AI?

CogniVis AI is a platform that enables you to pull data from different sources and combine them with each other to create practically useful AI tools. Sources may include your internal company knowledgebase and a variety of most popular business apps like GitHub, Jira, Slack, and more.

This enables you to easily create AI chatbot assistants (internal), custom generators and even embeddable AI chat widgets trained on your data.

How CogniVis AI works with Jira?

The Jira Connector picks up all Issues and Updates from the specified projects.

What exact sources are pulled:

Issues
Issue title
Issue description
Issue status (Open, In Progress, Closed)
Issue assignee
Issue comments
Issue URL
Attachments
Sprint name
Sprint goal
Sprint start date
Sprint end date
Sprint URL
Projects
Project name
Project key
Project lead
Project URL

Configuration

Generate a Personal Access Token

To connect CogniVis AI with Jira, you need to generate a Access Token in Jira. This token will be used to authenticate the connection between CogniVis AI and Jira. See the detailed instructions in the:

Jira Cloud Access Tokens guide

Jira Server Personal Access Tokens guide

Sign into your Jira account.

Navigate to Token Settings

Go to your Profile. In the navbar, click Security and then select Create and Manage API Tokens.

Open token generation page

Generate a new token

Click on Create API token button

Name your token something like "CogniVis Connector".

Add the connector to CogniVis

Navigate to CogniVis Connectors

In your platform, go to the Admin Panel, which you can find in the top right corner of the screen.

Go to the Add Connector section in the menu on the left side of the screen.

Then, search for and select the Jira connector.

Add your Jira token

Please provide the email used in Jira, the Jira access token and click on the "Update" button.

Specify the repo

For indexing each project, supply a single URL to any page within the project. Additionally, you can specify which user comments to exclude (which is useful for ignoring comments from specific bots). For example, it might be formatted like this:

Free trial

If you are interested in creating your own automations and workflows with artificial intelligence based on your data, you can request a free trial of our solution. Please book a demo with us to get started.

book a demo

On-premise

Enterprise organizations can choose to deploy this connector on-premise. On-premise deployment provides additional security and privacy, it means that the connector will be hosted on your own servers which you can control and manage.

This option is suitable for organizations that have strict data privacy and security requirements, want to integrate with their existing infrastructure, or need to comply with specific local regulations.

Contact our team & learn about options of deploying this connector on premise.

book a demo learn more about on-premise ai

Use cases

Check out potential benefits and use cases for this connector.

Automated Status Reporting

AI can analyze the status of issues and sprints to generate daily or weekly status reports. This eliminates the need for manual reporting, keeping all stakeholders updated on project progress and bottlenecks.

Intelligent Task Assignment

Using issue assignee data and project lead inputs, AI can recommend task assignments based on team members' availability, past performance, and skills. This ensures optimal resource allocation and balanced workloads.

Enhanced Sprint Planning

AI can analyze past sprint goals, start and end dates, and issue completion rates to predict the likelihood of meeting future sprint goals. This helps in more accurate and efficient sprint planning.

Automatic Issue Prioritization

By evaluating issue descriptions, statuses, and comments, AI can automatically prioritize issues according to their urgency and impact. This helps teams focus on the most critical tasks first.

Proactive Risk Management

AI can monitor issue statuses and comments to identify potential risks and alert the project lead before they escalate. This allows for timely interventions and risk mitigation.

Efficient Data Retrieval

AI can leverage project URLs, issue URLs, and attachment data to quickly retrieve relevant information. This makes it easier to find past issues or project details without manual searching.

Enhanced Collaboration

AI can summarize issue comments and provide key insights, making it easier for team members to catch up on discussions and collaborate effectively, even if they join mid-way.

Knowledge Transfer

By analyzing closed issues and their resolutions, AI can create a knowledge base of common problems and solutions. This is invaluable for onboarding new team members and reducing repetitive work.

Custom Notifications

AI can set up custom notifications based on issue statuses, assignees, and project updates. For instance, notifying assignees immediately when an issue is assigned to them or when their task's status changes.

Performance Analytics

AI can track project and sprint performance over time, offering insights into team efficiency, project delays, and areas for improvement. This data-driven approach enhances overall project management and team performance.

Jira AI