Building a strong data infrastructure for AI agent success

Enterprises are rapidly adopting agentic AI as copilots, assistants, and autonomous task-runners, with nearly two-thirds experimenting with AI agents and 88% integrating AI into at least one business function by late 2025, according to McKinseys annual report. Despite these high adoption rates, only about 10% of companies have successfully scaled their AI agents, primarily due to challenges in establishing robust data architectures that provide the necessary business context for AI effectiveness. Experts emphasize that the bottleneck is less about AI model capabilities and more about the quality and structure of enterprise data, underscoring