Move Beyond AI Pilots: How Platform Engineering Makes AI a Core Capability

Agentic AI projects often falter when transitioning from pilot to production due to governance, compliance, and scalability challenges, with Gartner predicting that over 40% will be canceled by 2027. Early AI pilots typically operate as isolated data science initiatives that, while technically feasible, fail under enterprise demands. Platform engineering offers a solution by embedding AI workloads into reusable, governed infrastructure components, ensuring production needs such as multi-region provisioning, workload distribution, and cost efficiency are addressed from the outset. This approach transforms AI from experimental prototypes into sustainable, scalable business capabilities, moving organizations beyond experimentation and into the AI-native era. By adopting platform-led development, enterprises can avoid common pitfalls associated with isolated pilots and integrate AI as a core business function.

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