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With 45% of U.S. tech leaders reporting AI code reliability issues, this piece addresses the growing dilemma facing CTOs: how to harness AI's potential to accelerate software development while maintaining trust and quality. The content presents a practical three-phased roadmap for incremental AI adoption, from identifying bottlenecks to piloting tools and scaling integration. It highlights real-world success stories, including how one healthtech provider reduced delivery timelines from 2 weeks to just 6 days using AI-native frameworks. The piece emphasizes that AI adoption isn't plug-and-play—it requires structured implementation, team training, and proper governance to transform traditional SDLC processes responsibly.

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