In the generative AI era, progress often resembles “two steps forward, one step back,” as companies navigate unique challenges that can hinder development. Key issues include a failure to innovate—due to process constraints and compliance delays—and a failure to scale, with rising costs and risk concerns stalling advances. These hurdles can derail entire programs, affecting innovation and skill development. Successful deployment requires a structured approach, utilizing a centralized platform with essential components: a self-service portal for easy access to tools; an open architecture for integrating reusable AI services to reduce costs; and automated governance guardrails to manage compliance and risk. This framework not only speeds up operational capabilities but also enhances collaboration across teams. By focusing on platform-based solutions, organizations can effectively mitigate common pitfalls, foster innovation, and realize the full potential of generative AI, ultimately improving both value and efficiency in their projects.
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