Released - Transform Jira tickets into shareable roadmaps and release notes

Released Transform Jira tickets into shareable roadmaps and release notes

What is Released?

Released is a sophisticated platform that transforms Jira tickets into professionally crafted release notes and roadmaps. The tool leverages AI technology to automatically generate engaging content from existing Jira data, enabling product teams to create and share updates effortlessly.

The platform offers seamless integration with popular tools like Confluence and Slack, while maintaining enterprise-grade security with SOC 2 Type 2 certification. Released supports both public and private sharing options, allowing teams to control their communication strategy while reducing the time spent on documentation by up to 90%.

Features

AI Copywriter: Automatically generates engaging release notes from Jira tickets
Multi-channel Publishing: Share updates via website embeds, Confluence, or Slack
Custom Templates: Create consistent looking updates with single-click deployment
Cross-project Boards: Consolidate roadmaps from multiple Jira projects
Security Integration: SOC 2 Type 2 certified with SAML SSO support
Automatic Synchronization: Real-time updates from Jira tickets
Customizable Visibility: Control public and private sharing options
Visual Enhancement: Access to Unsplash image library for better presentation

Use Cases

Product release communications
Stakeholder updates
Customer changelog management
Internal team announcements
Project roadmap sharing
Feature launch documentation

FAQs

What is an AI token?

Tokens can be thought of as pieces of words. 1 token roughly equals 4 characters in the English language.
Will my data be used to train AI models?

No, Released uses OpenAI APIs, which do not train models with any user data submitted.
Is Released available for Jira Data Center?

Not at this stage. Depending on demand, they will consider developing a Data Center version in the future.
Do you support changelogs in multiple languages?

Not yet, but multi-language support is planned.