Atlassian is introducing AI assistants in its cloud services such as Confluence, Jira Software, and Jira Service Management. Users can interact with these virtual assistants through chat input fields. One of the new functions compared to previous AI implementations is the automatic generation of test plans for product updates. This allows developers to create a test matrix of affected operating systems, APIs, and support status in a more efficient manner.
The AI assistant feature also brings relief to programmers when summarizing meetings or creating suitable tweets from release notes. Atlassian aims to save time by eliminating unpopular manual tasks. In the support interaction with users, AI also speeds up employees’ responses. The assistant can quickly give a summary of associated tickets and generate an appropriate response using keywords during conversations.
Users can interact with the Atlassian AI directly from Microsoft Teams or Slack. The AI will also learn the terms used internally and provide explanations for unfamiliar abbreviations. In addition, users can ask natural language questions during searches, and the AI will provide answers based on their company information and data from connected third-party providers. The AI assistant also understands the Jira Query Language (JQL) instruction, converting them into natural language and delivering results directly.
The AI technology is based on OpenAI services, with Atlassian also using internal models. The increasing integration shows that AI has outgrown its experimental infancy and is increasingly being used in productive business software. Classic ERP applications, Google’s no-code platforms, and Microsoft Teams, among others, have also incorporated AI assistants. The introduction of AI assistance is imminent in Microsoft 365 and Office applications.
