AI Agents in Team Workflows

AI agents are shifting from individual productivity tools to embedded components of team workflows and decision systems. The article explores how autonomous and semi-autonomous agents can coordinate tasks, integrate across tools, and support continuous execution rather than isolated prompts. It highlights architectural considerations such as orchestration, context management, and human-in-the-loop control. Technology leaders should evaluate how agent-based systems reshape collaboration models, governance, and platform design beyond traditional automation.