Artificial intelligence has already transformed the way organizations analyze data, predict outcomes, and generate content. The next leap forward is arriving fast. Enter agentic AI: Autonomous systems capable of reasoning, deciding, acting, and continuously improving with minimal human intervention. Unlike predictive or generative AI, agentic AI systems don’t just support decisions; they execute them. They can start workflows, coordinate across systems, adapt to changing conditions, and optimize processes in real time. But as promising as this shift is, one foundational question often gets overlooked: How do autonomous agents safely and reliably interact with the enterprise systems where business happens? The answer is integration, and how organizations choose to approach it will shape the success or failure of agentic AI initiatives.

Full report : Enterprises need to build a solid integration strategy for their agentic AI models.