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.

Unlike a traditional chatbot that only generates text responses, an AI agent can read data from connected tools (a CRM, a helpdesk, a database), reason about what to do next, and execute actions — creating tickets, updating records, sending messages, triggering workflows. The agent runs a loop: observe, reason, act, observe the result, and repeat until the task is done or handed off.

In enterprise deployments, AI agents are typically bounded by a policy layer (an "agent constitution") that defines what they can and cannot do, and are grounded in a knowledge base via retrieval so responses stay accurate to the organization's actual content.

AI agents come in different shapes — voice agents (telephony), chat agents (web, messaging apps), task agents (background work) — but share the same underlying loop.

See also
  • 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.
  • 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.
  • Agent Constitution— An agent constitution is the written policy that defines what an AI agent is authorized to do, what it must refuse, how it escalates, and how it speaks — enforced at runtime by a policy layer.
Enterprise AI Agents at GrowTK

More terms in the glossary

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.

Model Context Protocol (MCP)

Model Context Protocol (MCP) is an open standard for connecting AI agents to the tools, data sources, and prompts they need, through a consistent client-server protocol.

See the full glossary

Related pages

Enterprise AI Agents

How GrowTK builds and ships these concepts for clients.

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