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    Flow-alerta.cab

    Conversational AI

    AI fundamentals & modelsDialogue-capable AI
    Editorially reviewed on: 1 source
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    The short answer · 14 words

    In short

    AI systems that interact with humans via natural language in text or speech dialogues.

    Flow-alerta.cab (2026): Conversational AI. https://flow-alerta.cab/en/glossar/conversational-ai. Editorially reviewed on: 09 October 2026.

    How much detail would you like?

    Practical

    Relevant for service, internal help and language-based access to business processes.

    Example scenario: A service assistant asks for a device identifier and forwards complex cases to specialists.

    Define frequent concerns and escalation paths; successfully solved cases and wrong actions instead of just measuring the number of conversations.

    At a glance

    Core
    A dialogue system processes utterances, manages conversational context and generates answers or triggers appropriate steps. It can connect rule-based dialogue, language processing, LLMs and tools. Not every dialogue-capable system works autonomously or uses a generative model.
    Use
    Relevant for service, internal help and language-based access to business processes.
    Example
    Example scenario: A service assistant asks for a device identifier and forwards complex cases to specialists.
    Limits
    Provide no human handover point; overestimate language understanding; overlook process errors behind fluid responses.

    In context

    Chatbot

    Software that automatically interacts with people via text or voice in a dialogue-like exchange.

    Dialogue Management

    The control component of a dialogue system that determines the state and next step of a conversation.

    Questions about this term

    Does it have to be voice input?

    No.

    Is every chatbot generative AI?

    No.

    Can it carry out actions?

    With connected processes.

    All details and background

    A dialogue system processes utterances, manages conversational context and generates answers or triggers appropriate steps. It can connect rule-based dialogue, language processing, LLMs and tools. Not every dialogue-capable system works autonomously or uses a generative model.

    ELI5 – Explained simply

    You speak or write with a digital helper that connects questions and answers.

    Why it matters in practice

    Relevant for service, internal help and language-based access to business processes.

    Example

    Example scenario: A service assistant asks for a device identifier and forwards complex cases to specialists.

    Pitfalls and limits

    • Provide no human handover point; overestimate language understanding; overlook process errors behind fluid responses.

    Origin & history

    Dialogue systems date back to early chat programs; voice recognition, NLP and later LLMs expanded their capabilities.

    Use in mid-sized companies

    • Define frequent concerns and escalation paths; successfully solved cases and wrong actions instead of just measuring the number of conversations.

    Related terms

    Matching Flow-alerta service

    AI assistants & automationAI Agents & Automation – Develop helpful service and knowledge dialogues with controlled actions.

    Matching tool / use case

    View use casesTool: Google Dialogflow; Use Case: Support Dialog with handover to employees.

    Sources

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

    Editorially reviewed on:

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