Glossary
AI Agent
An AI agent is a system that, given a specific goal, decides its own steps and uses external tools to get the work done. Unlike a text assistant that answers a question, an agent pursues a task until it produces an output.
Also called عامل هوشمند
Three properties turn a system into an AI agent, and all three must be present at once. First, it is given a **goal**, not a one-step instruction: instead of “summarize this table,” the goal is something like “find out why this brand’s sales fell.” Second, it has access to **tools**: it can query a database, create a file, send a message, or book a meeting. Third, it **evaluates** its own work and changes course when needed.
In an organization, an AI agent is usually implemented as a set, not a single unit. One agent analyzes, one critiques the result, one quantifies the financial effect, and one checks organizational policy before any action. That split both raises accuracy and lets each part have a different level of authority.
A key point when evaluating claims: many products that call themselves “agentic” are, in practice, only a conversation layer on top of a database. The practical test is to ask what the system **does**, not what it describes.
Common questions
- What is the difference between an AI agent and an AI assistant?
- An assistant waits for an instruction and replies; an agent pursues a goal and decides the steps itself.
- Does an AI agent need the internet?
- Not necessarily. An agent can run on the organization’s internal model and infrastructure; what it needs is access to data and work tools.
Let’s make your processes agentic
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