Project: Mango Ai
Agentic AI describes autonomous systems that use specialised agents to achieve complex, long-term goals with minimal human oversight. Unlike generative AI, which only creates content, agentic AI continuously perceives, reasons, acts, and learns to solve problems, use tools, and make decisions independently.
Agentic AI refers to systems that achieve specific goals with minimal supervision. These systems use AI agents, which are machine learning models designed to replicate human decision-making and solve problems in real time. In multi-agent systems, each agent handles a distinct subtask, and their activities are coordinated through AI orchestration.
Mango is an agentic AI restaurant operating system. A crew of Al assistants, working 24/7, to make sure each of your sites runs as profitably as it can. One platform to control your prime cost – labour and Cost of Goods Sold (COGs)- across every location.
