A more operational, business-specific way of leveraging generative AI is beginning to take shape in the form of AI agents that quietly work behind the scenes, moving beyond gen AI’s creational capabilities toward autonomous decision-making in enterprise workflows.
Agentic AI, at its core, is designed to automate a specific function within an organization’s myriad business processes, without human intervention. AI agents can, for example, handle customer service issues, such as offering a refund or replacement, autonomously, and they can identify potential threats on an organization’s network and proactively take preventive measures.
Early examples of the technology include GitHub Copilot Workspace, an integrated code repository agent, and Google AI Teammate, an AI assistant that can manage projects by monitoring company processes, creating reports, and generating new tickets for programmers, notes Mikhail Dunaev, chief AI officer at ComplyControl, a banking technology provider.
