Concepts

Plain-language explanations of the ideas behind autonomous business and the agentic AI era.

• Autonomous business

  An autonomous business is one where AI agents execute operational work under human-defined rules — without a human pushing every step forward.

• Agentic infrastructure

  Agentic infrastructure is the underlying system layer — permissions, memory, workflows, approvals, audit trails — that lets AI agents act safely inside a business.

• AI operating system

  An AI operating system is the execution layer that coordinates AI agents, permissions, tools, and human oversight across an entire business — replacing the dashboard as the core interface.

• Agentic workflows

  Agentic workflows are multi-step business processes executed by AI agents — coordinating tools, data, and decisions under human-defined rules without manual hand-offs.

• Human-in-the-loop AI

  Human-in-the-loop AI is a design principle where AI agents act autonomously within defined boundaries and bring humans back into the process only when judgment, approval, or oversight is required.

• Company as an API

  A company as an API is one whose internal business logic — scheduling, billing, support, operations — is callable, executable, and accessible to AI agents under defined permissions.

• Agentic AI

  Agentic AI refers to AI systems that don't just generate answers but take actions — planning steps, calling tools, and executing multi-step work toward a goal within human-defined boundaries.

• AI agent

  An AI agent is a software system that uses an AI model to pursue a goal autonomously — perceiving context, deciding, calling tools, and acting within human-defined permissions, rather than only answering questions.