From POC Fatigue to Platform Success: How Intel and Wipro Are Scaling Enterprise AI

From POC Fatigue to Platform Success: How Intel and Wipro Are Scaling Enterprise AI

Many organizations are stuck spinning their wheels on AI proof-of-concepts that never make it to production. According to leaders from Intel and Wipro, the solution lies in shifting from endless experimentation to platform-first thinking that delivers real business impact.

The New AI Strategy Playbook

In a recent CIO.com podcast, Mayur Shah from Wipro and Lynn Comp from Intel's AI Center of Excellence shared insights on how forward-thinking companies are breaking through the pilot trap. The key difference? Moving beyond isolated experiments to embedding AI directly into core business workflows.

"We're clearly seeing a shift from POC fatigue to platform-first thinking," explains Shah, who leads 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."

Data Strategy Makes the Difference

Intel's Comp emphasizes that successful AI implementation isn't just about the technology—it's about having the right data foundation. "The magic of AI comes from being able to connect with the data unique to each business," she notes. This requires:

• Disciplined data practices with built-in security and governance
• Human oversight to ensure trust and accountability
• Modular architectures that can adapt as needs evolve

Start Small, Scale Smart

Both experts recommend a pragmatic approach to AI adoption. Rather than attempting massive transformations, successful organizations start with focused use cases and build for flexibility. Shah's advice: "Start small, move fast, and build for flexibility. That's how organizations future-proof their AI investments."

The shift from experimental AI to operational AI is happening now. Companies that focus on platform-first thinking and solid data strategies are positioning themselves to turn AI experiments into enterprise-wide competitive advantages.

🔗 Full Podcast on CIO.com