25.12.25 (inclusive)

tenge

Idea

ICT tasks

Robotics

Intelligent control systems

Software/ IS

Preparation of project documentation for software development takes considerable time and requires the participation of analysts, project managers and developers. User stories, acceptance criteria, and functional requirements are generated manually, which leads to high labor costs, quality heterogeneity, and the risk of errors. The lack of a single standardized process leads to dependence on the qualifications of individual specialists, reduces the speed of project launch and increases the cost of training. In addition, the inability to quickly update documentation when requirements change leads to the accumulation of technical debt and reduced transparency of development. A tool is needed that can automatically analyze input descriptions, structure them, generate full-fledged artifacts of project documentation, and provide a single format for all company projects.

The implementation of the ZEON AI server module will reduce the preparation time of project documentation by 50-80% due to the automatic generation of user stories, acceptance criteria and functional requirements. The quality and structure of documentation will become uniform for all projects, which will reduce dependence on the human factor and reduce the number of errors during the development phase. The system will ensure quick updating of documents when requirements change, which will reduce technical debt and accelerate the launch of projects. Analysts and managers will be able to focus on more complex tasks, and development teams will receive clearer, standardized, and easily scalable artifacts. All this will increase the efficiency of development and allow the company to carry out more projects without increasing staff.

Haplusse Veronica