Post by Cyient

70% of AI-first proofs of concept failed to reach production in 2024, and in 2025, that number was still at 62%. Not because the technology is lacking, but because intelligence in engineering demands more than algorithms. It demands domain depth, human expertise, real-world integration, and governance built for safety-critical environments. 📊 In our recent report developed in collaboration with Everest Group, we explore why this gap persists and what it actually takes to make intelligence work at scale. 👉Read the report and let us know where you are seeing this play out: https://lnkd.in/gZVKGbru #EmbracingIntelligence #IntelligentEngineering