Glossary

Enterprise AI

Enterprise AI is the application of artificial intelligence — particularly large language models and AI agents — inside organizations, with the governance, integration, and operational controls required for production business use.

Enterprise AI differs from consumer or prosumer AI in three core ways: it must integrate with existing systems (CRMs, ERPs, helpdesks, data platforms), it must meet compliance and audit requirements, and it must deliver measurable business outcomes tied to ROI.

The typical enterprise AI stack includes: a foundation model (often multiple), a retrieval layer grounded in the organization's knowledge, tool surfaces for taking action (commonly via MCP), a policy/governance layer, monitoring and audit logging, and an orchestration layer that ties it all together.

Enterprise AI deployments succeed or fail on operational quality — not model capability. The best models underperform without clean integration, disciplined governance, and change management inside the organizations using them.

See also
  • AI Agent— An AI agent is a software system that uses a large language model to perceive its environment, reason about tasks, and take actions in external systems on behalf of a user.
  • AI Agent Governance— AI agent governance is the set of controls, policies, and audit mechanisms that keep deployed AI agents operating inside defined boundaries.
  • Multi-Agent Orchestration— Multi-agent orchestration is the practice of coordinating multiple specialized AI agents to accomplish a task that is too complex or too broad for a single agent.
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More terms in the glossary

AI Agent

An AI agent is a software system that uses a large language model to perceive its environment, reason about tasks, and take actions in external systems on behalf of a user.

AI Voice Agent

An AI voice agent is an AI agent that interacts with users through voice — answering inbound calls, placing outbound calls, and conversing in real time.

AI Chatbot (AI Chat Agent)

An AI chatbot — more accurately, an AI chat agent — is an AI agent that interacts with users through text: web chat, WhatsApp, SMS, Slack, Teams, or social messaging.

Retrieval-Augmented Generation (RAG)

Retrieval-augmented generation (RAG) is an architecture that grounds a language model's responses in a specific knowledge base by retrieving relevant passages at inference time and conditioning the response on them.

Multi-Agent Orchestration

Multi-agent orchestration is the practice of coordinating multiple specialized AI agents to accomplish a task that is too complex or too broad for a single agent.

Constitutional AI

Constitutional AI is an approach to training and deploying AI systems in which model behavior is guided by an explicit written set of principles — a "constitution" — rather than only by reinforcement from human feedback.

See the full glossary

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