In complex workflows, single-agent systems often misfire due to limited context or conflicting responsibilities. Multi-agent architectures reduce these risks by isolating functionality, one agent handles data collection, another planning, another execution. When one module fails, others continue unaffected. This modularity increases fault tolerance and simplifies debugging in dynamic environments.