The Agent Hierarchy of Needs: Why Your AI Can't Actually Do Anything (Yet)

AI's potential in transforming business operations is constrained by its current inability to access and act upon real enterprise data securely. Despite advancements in large language models (LLMs) and their ability to understand context and make decisions, the actual value of AI in enterprise settings is realized only when these models can integrate with existing business systems. The Agent Hierarchy of Needs framework outlines the necessary layers for this integration, beginning with LLMs and including prompt orchestration, retrieval systems, agent orchestration, tool calling, and agent authorization, culminating in agentic action. This complex infrastructure requires secure authentication and granular permissions to ensure AI agents can perform meaningful tasks without compromising security or governance. Arcade.dev addresses these challenges by providing the necessary tools for secure system integration and authorization, enabling AI to execute complex business processes and move beyond mere pilot projects to full-scale deployments.