Multi-agent planning in AI uses multiple intelligent agents that work together on complex tasks. Each agent handles a specific role such as data gathering, decision-making, or execution, while a coordination layer aligns them to shared goals. In enterprises this architecture boosts scalability, fault tolerance, and adaptability across logistics, customer service, and smart-grid operations.