Custom AI Outperforms Plug-and-Play

Enterprises favor custom AI because generic AI often struggles with industry-specific rules, data types, and risks. Custom AI solutions are tailored to a company's unique data, workflows and specific problems. This leads to more accurate and helpful decisions. Many companies are investing heavily in AI, with 52% already spending over $10 million annually. They're not just experimenting; they're building long-term infrastructure. A Cognizant survey showed that 84% of firms maintain formal AI budgets, and 91% expect those budgets to increase. "AI Builder" firms are becoming more popular, offering full-stack AI solutions designed to integrate directly into existing systems. These firms are preferred because they enable AI to be embedded directly into business operations and value chains. Generic AI solutions are a leading reason enterprises reject an AI provider. Cognizant's CEO, Ravi Kumar S, notes that AI success is about engineering intelligence into the enterprise with purpose-built solutions. The focus is on augmenting human capabilities, not replacing them, to create smarter systems. This collaborative approach aims to make work more valuable and businesses more effective.