Multi-agent AI is reshaping how organisations design, deploy and govern intelligent systems. Instead of relying on a single model to handle every task, multi-agent setups coordinate many specialised agents – from coding assistants and SRE bots to security, marketing and customer service agents – each optimised for a specific role. This tag explores how these coordinated systems promise higher productivity, more reliable automation and richer decision-making across complex workflows.

The stories here trace multi-agent AI’s rapid move from theory to enterprise reality. You’ll find platform launches for orchestrating fleets of coding and operations agents, new infrastructure layers built to manage identity, access and governance for agent swarms, and tools that bring multi-agent capabilities to data platforms, cloud security, customer intelligence and IT support. Alongside the innovation, coverage also highlights emerging risks, new threat models and the fresh risk-management strategies needed when many agents can act semi-autonomously.

Readers interested in the next phase of AI automation can use this tag to follow how agentic and multi-agent systems are changing business models, cloud architecture, cyber security and everyday work. Whether you’re evaluating enterprise AI agents, planning autonomous workflows or wrestling with process friction, these articles offer concrete examples, early lessons from deployments and insight into how organisations are preparing for a future run by coordinated AI teams rather than standalone models.