IT_One has introduced a proprietary framework designed to manage AI tools throughout the entire software development life cycle. The methodology aims to replace spontaneous AI adoption with a structured approach, providing teams with clear guidelines for selecting models, validating results, and controlling risks at every stage of development.
The framework consists of five core stages, including the decomposition of the SDLC into specific activities, such as analytics, coding, testing, deployment, and stabilization. It also covers the assessment of AI applicability, the definition of necessary skill sets, and the establishment of standardized instructions for developers.
According to CIO Kirill Khrushkov, the company developed this solution as a reproducible methodology rather than a closed internal regulation. The framework is vendor-agnostic, allowing teams to select the most suitable AI tools as new versions emerge. It also serves as an onboarding tool for new hires to ensure predictable performance.
The implementation of this framework has reportedly increased development team productivity by 30–40%. In addition to performance gains, the company notes that the methodology helps maintain high code quality while accelerating the development process and simplifying the integration of new team members into existing workflows.
