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    Autonomous Agent

    Process automationAutonomous software agent
    Editorially reviewed on: 2 sources
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    The short answer · 19 words

    In short

    Software or hardware system that independently selects and executes actions within defined goals and limits without continuous direct control.

    Flow-alerta.cab (2026): Autonomous Agent. https://flow-alerta.cab/en/glossar/autonomous-agent. Editorially reviewed on: 09 October 2026.

    How much detail would you like?

    Practical

    Helps to delineate real scope for action from mere chatbots or fixed workflows. For companies, permissions, approvals and cancellation conditions are central.

    Example scenario: An agent checks new support cases, retrieves permitted sources of knowledge and independently creates solutions, but may not change customer data.

    Gradually awarded autonomy: first read tools and limited actions, then expand only after tests and traceable approvals.

    At a glance

    Core
    For agents, autonomy means that the system has a certain room for manoeuvre and does not have to be controlled immediately for every single step. Classical agent research also connects agents with reactivity, goal orientation and interaction with their environment. Modern LLM agents are a possible form, not the definition of the term.
    Use
    Helps to delineate real scope for action from mere chatbots or fixed workflows. For companies, permissions, approvals and cancellation conditions are central.
    Example
    Example scenario: An agent checks new support cases, retrieves permitted sources of knowledge and independently creates solutions, but may not change customer data.
    Limits
    Confuse autonomy with unlimited freedom of action; automatically call chatbot agents; overly broad permissions; lack of logging and escalation paths.

    In context

    Questions about this term

    Is every AI agent autonomous?

    Not to the same extent.

    Is an Autonomous Agent the Same as an LLM?

    No.

    Should an agent be given unlimited rights?

    No, rights should fit the specific task.

    All details and background

    For agents, autonomy means that the system has a certain room for manoeuvre and does not have to be controlled immediately for every single step. Classical agent research also connects agents with reactivity, goal orientation and interaction with their environment. Modern LLM agents are a possible form, not the definition of the term.

    ELI5 – Explained simply

    You set goals, tools and limits. Within this framework, the agent decides for itself which next steps it will take.

    Why it matters in practice

    Helps to delineate real scope for action from mere chatbots or fixed workflows. For companies, permissions, approvals and cancellation conditions are central.

    Example

    Example scenario: An agent checks new support cases, retrieves permitted sources of knowledge and independently creates solutions, but may not change customer data.

    Pitfalls and limits

    • Confuse autonomy with unlimited freedom of action; automatically call chatbot agents; overly broad permissions; lack of logging and escalation paths.

    Origin & history

    Agent research of the 1990s described autonomy, reactivity, proactivity and social ability as central properties of intelligent agents. Modern agent AI revisits parts of these concepts with language models and tool access.

    Use in mid-sized companies

    • Gradually awarded autonomy: first read tools and limited actions, then expand only after tests and traceable approvals.

    Sources

    Quellenprüfung: 09.10.2026. Definition und dokumentierte Einordnung abgeglichen; Beispiele beschreiben mögliche Anwendungen.

    Editorially reviewed on:

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