Ideas2IT Blog

AI-native custom software development isn’t a future concept—it’s happening now across modern software teams. From requirements to maintenance, AI is accelerating delivery, increasing reliability, and embedding intelligence into every phase of engineering.

The AI revolution is no longer a distant promise; it's a present-day imperative. Yet, while 78% of organizations have adopted AI in at least one business function, most struggle to scale beyond isolated pilots, with only about 4% achieving advanced, enterprise-wide AI capabilities.

According to a 2024 Gartner survey of over 1,200 data management leaders, 63% of organizations either do not have or are unsure if they have the proper data management practices for AI, putting their projects at serious risk.

For years, generative AI has dazzled the enterprise world, transforming workflows, automating content creation, and personalizing customer experiences at scale. Yet, as we enter 2025, a new paradigm is emerging, Agentic AI.

AI has become an integral part of business operations, with 78% of organizations now using it in at least one function, a significant rise from 55% just a year ago, according to McKinsey’s 2024 survey. 

Despite AI’s growing momentum, many senior leaders still await clear ROI. A recent industry survey reveals that 30% of Chief Data and Analytics Officers (CDAOs) struggle to measure the impact of data, analytics, and AI on business outcomes, highlighting a significant gap between investment and tangible results.