Cognizant released new research indicating that “plug-and-play” artificial intelligence solutions are largely ineffective for enterprises, with most organizations preferring customized AI systems developed by specialized IT service providers.

The study, based on a survey of 600 AI decision-makers and interviews with senior executives, found that companies prioritize tailored AI solutions and flexible service models over pricing when choosing an AI partner. Many organizations cited generic off-the-shelf AI tools, limited industry expertise and integration challenges as key reasons for rejecting vendors.

The research also highlights significant gaps between AI ambitions and current capabilities. About 63% of enterprises report moderate to large capability gaps, while major barriers to scaling AI include regulatory compliance concerns, difficulty proving return on investment, talent shortages and insufficient data readiness.

Despite these challenges, companies are increasing investment in AI. Around 84% of organizations maintain formal AI budgets, and 91% expect those budgets to grow over the next two years, with half anticipating double-digit increases.

Cognizant said the findings suggest enterprises are moving away from experimenting with standalone AI tools and instead seeking long-term partners capable of designing, integrating and managing full-scale AI systems across business operations.
PRNewswire