Generative and agentic AI are reshaping enterprise strategy. However, many organizations remain stuck in the proof-of-concept phase, struggling to scale pilots into production. In this first episode of Putting the I in AI, hosted by CIO.com’s Chris Pullam, leaders from Intel and Wipro share how forward-thinking CIOs are turning experimentation into enterprise-wide transformation.

“We’re clearly seeing a shift from POC fatigue to platform-first thinking,” says Mayur Shah, general manager and global practice head for platform engineering and innovation at Wipro. “The focus now is on embedding agentic AI into core business workflows — like contract optimization or decision automation — to deliver measurable outcomes. It’s not about experiments anymore; it’s about operational impact.”

Lynn Comp, head of sales for Intel’s AI Center of Excellence, emphasizes that the real differentiator isn’t just the technology but the data strategy behind it. “The magic of AI comes from being able to connect with the data unique to each business,” she says. “That requires disciplined data practices, built-in security and governance, and keeping humans in the loop to ensure trust and accountability.”

As enterprises seek to scale responsibly, both experts point to modular architectures and pragmatic roadmaps as the key to sustainable success. “Start small, move fast, and build for flexibility,” Shah advises. “That’s how organizations future-proof their AI investments.”