Any project continuously generates new tasks, documentation, and code. Information flows in from various channels and must be coordinated efficiently. It is essential for every team member to stay updated with the latest changes and have access to relevant information. Common challenges teams face include:

• Differing perceptions among team members about the current state of the project
• Large volumes of data, including tasks from JIRA, documents from Confluence, and discussions across various systems
• Risk of errors due to human factors in information transfer
• Suboptimal task distribution and slowed progress due to lack of coordination

The goal of developing Context was to create a unified AI assistant that provides real-time access to up-to-date data, optimizes workflows, and minimizes the risk of errors.

Context uses artificial intelligence and machine learning to integrate with key development tools such as JIRA, Confluence, and Git, ensuring that the team has access to consistent and current information. Acting as a unified AI assistant, it simplifies essential processes:

• Workplace automation – Each team member has access to a convenient web interface integrated with a chatbot that leverages large language models to communicate and retrieve relevant information
• Integration with core development tools – Context automatically analyzes tasks, documentation, and code, delivering accurate recommendations and instructions to each team member
• Smart task generation – The system automatically creates tasks with detailed step-by-step instructions, including code reviews, test preparations, and change documentation
• Test data preparation – Context assists in preparing test data, accelerating the testing and release preparation process.
• Real-time support – Based on context analysis, the system proactively generates and answers questions that team members might encounter while completing their tasks

After implementing Context, Globus IT significantly improved team performance. Pilot projects showed impressive results:

• Task creation time reduced by 25%
• Number of task iterations decreased by 30%
• Project managers’ workload reduced by 15–20%
• Internal communication time dropped by 30%

These outcomes enable the team to work faster, reduce errors, and boost overall productivity. Additionally, with smart data analysis and seamless integration with existing development tools, Context ensures transparency across processes and helps prevent misunderstandings common in large-scale projects.

Context is not just another IT tool — it’s a genuine leap forward in project management. It simplifies team collaboration, reduces the risk of human error, and significantly enhances operational efficiency. With integration into popular development environments, intelligent support, and automation of routine tasks, this system becomes an indispensable assistant for project managers and developers alike. Implementing solutions like Context is not only vital for improving internal workflows but also provides a critical competitive edge in a world where speed and accuracy define success.