EfficiencyApril 23, 2026· 9 min· 4 730
How much AI SDLC really saves: ROI explained
A practical ROI breakdown: productivity, lower operating costs, faster delivery and fewer late defects.
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Every platform investment should answer one question: when does it pay back? For AI SDLC, the payback comes from speed, lower rework and better quality.
Three direct savings
- 1Productivity: 3-10x more output from the same specialists
- 2OPEX: less routine work and fewer handoffs
- 3Time to market: products reach users earlier
Классическая разработка100%
С AI SDLC (ручные операции)15%
×3-10
рост продуктивности
Hidden savings teams forget
- Defects are cheaper because they are found earlier
- Knowledge is stored in models, not only in people
- Onboarding becomes faster
- Fewer requirements conflicts cause late rework
The effect starts with the first generated artifacts. The more routine work a team has, the faster ROI appears.
Conclusion
AI SDLC is not just a software cost. It is an investment in delivery speed, quality and team capacity.
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