From chatbots to retrieval-augmented generation applications to autonomous multi-agent AI: What’s every enterprise leader needs to know.
In the past year, the race to automate has intensified, with AI agents emerging as the ultimate game-changers for enterprise efficiency. While generative AI tools have made significant strides over the past three years — acting as valuable assistants in enterprise workflows — the spotlight is now shifting to AI agents capable of thinking, acting and collaborating autonomously. For enterprises preparing to embrace the next wave of intelligent automation, understanding the leap from chatbots to retrieval-augmented generation (RAG) applications to autonomous multi-agent AI is crucial. As Gartner noted in a recent survey, 33% of enterprise software applications will include agentic AI by 2028, up from less than 1% in 2024.