From AI Agents to AI Agencies: A Paradigm Shift in Task Execution

Two years ago, the transformative potential of AI Agents – autonomous systems capable of breaking down and executing complex tasks – was highlighted. Now, AI Agents autonomously code websites, manage digital workflows, and execute multi-step processes. However, a new architectural pattern, termed 'AI Agencies', is emerging, representing a fundamental leap beyond current AI Agents. Unlike multiple AI Agents collaborating, an AI Agency is a unified system dynamically orchestrating diverse intelligence types to handle different parts of a single task. For example, a high-capability reasoning model plans the task, a fast, efficient model generates boilerplate code, and a debugging-focused model ensures functionality. This shifts AI task execution from monolithic to orchestrated intelligence, improving efficiency, cost-effectiveness, and quality.