Enterprises fail to unlock AI's true potential, says Wipro executive

Enterprises across India are struggling to translate artificial intelligence investments into tangible business outcomes, according to Sandhya Arun, Chief Technology Officer at Wipro. Speaking on the challenges facing the sector, Arun highlighted a fundamental misalignment between how companies implement AI technologies and the conditions necessary for sustainable value creation.

The Wipro executive identified four critical pillars that must work in concert for enterprises to derive meaningful returns from their AI initiatives. These include achieving appropriate scale in deployment, establishing genuine competitive advantage, building organizational trust in AI systems, and ensuring widespread adoption across business functions. When these elements operate independently rather than cohesively, companies often find their AI projects yield disappointing results despite significant capital expenditure.

Arun's assessment reflects broader challenges across the Indian technology and business landscape, where many organizations have launched AI pilot projects but struggle to scale them effectively into core operations. The gap between AI ambition and execution remains pronounced, with companies frequently underestimating the organizational and cultural changes required to realize AI's transformative potential.

For Indian enterprises seeking to improve their AI outcomes, Arun's framework suggests a more holistic approach is essential. Rather than viewing artificial intelligence as a standalone technology to be implemented, companies must carefully orchestrate these four dimensions alongside their broader business strategy to unlock genuine competitive advantage and sustained value creation.