Orion soft surveyed 107 representatives from large and medium-sized businesses across various sectors, including finance, energy, and the public sector. The study reveals that infrastructure issues hinder product delivery in two out of three cases, despite the adoption of AI coding assistants.
According to the report, 65% of respondents identified non-development tasks, such as manual configuration, security approvals, and resource waiting times, as the primary causes of delays. Specifically, 47% of participants cited information security processes as a major obstacle.
Resource allocation remains a significant bottleneck, with 78% of respondents reporting that they wait more than one business day to receive a development environment after submitting a request. This delay prevents teams from fully leveraging the speed gains provided by AI tools.
In 2025, large and medium-sized Russian organizations invested 5.9 ₽ trillion in digital technologies, with 37% of this amount allocated to software. Since 86.6% of these expenses were self-funded, operational inefficiencies directly impact the return on investment.
To address these challenges, the industry is shifting toward platform engineering. Gartner predicts that by the end of this year, 80% of the world's largest software developers will establish dedicated platform teams to automate infrastructure processes and standardize resource delivery.
