Scaling AI agents with trustworthy data

How companies are freeing themselves of legacy data systems to power AI agents that deliver trusted, autonomous action. Business and technology leaders need no convincing that the time of agentic AI is here. Organizations are rapidly adopting agents, and few executives doubt the technology's potential to transform work. But many organizations find that realizing the desired return on investment (ROI) from AI hinges on having the right foundation, with inadequate infrastructure and data being major blockers . The shift from answering questions to taking actions means AI agents need data from across the enterprise, in all its structured and unstructured forms, and with the right business context. To make decisions and act in real time, agents also need frictionless access to the organization's operational systems--for example, those storing its supply chain, point-of-sale, or human resources data.