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    Botsitting

    Process automationAI babysittingAI supervision effort
    Editorially reviewed on: 1 source
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    The short answer · 16 words

    In short

    Working term for human effort to make AI outputs usable through contextualization, control, troubleshooting and rework.

    Flow-alerta.cab (2026): Botsitting. https://flow-alerta.cab/en/glossar/botsitting. Editorially reviewed on: 09 October 2026.

    How much detail would you like?

    Practical

    Relevant for ROI and automation assessment, because hidden human control and repair time can significantly reduce the benefit of an AI solution.

    Sample scenario: A person saves ten minutes when creating a draft, but then needs twelve minutes for missing context, corrections, and format cleanup.

    AI pilots not only measure processing time, but also control, correction and context effort. Recurring unplanned rework can be a signal for process, data or integration issues.

    At a glance

    Core
    Glean’s Work AI Index uses botsitting 2026 for work around AI use: submitting context, reviewing results, correcting errors, and cleaning up outputs. The report distinguishes between productive and unproductive effort. Botsitting can therefore also include meaningful human review and is not automatically avoidable rework.
    Use
    Relevant for ROI and automation assessment, because hidden human control and repair time can significantly reduce the benefit of an AI solution.
    Example
    Sample scenario: A person saves ten minutes when creating a draft, but then needs twelve minutes for missing context, corrections, and format cleanup.
    Limits
    To present the term as an established standard; to classify the necessary quality assurance as waste; to equate human-in-the-loop with unplanned rework.

    In context

    Questions about this term

    Is botsitting a standard technical term?

    In the source used, it is a working term.

    Can this also include a meaningful examination?

    Yes, Glean distinguishes productive and unproductive effort.

    Why measure?

    Because care expenses should be taken into account when evaluating time gain and costs.

    All details and background

    Glean’s Work AI Index uses botsitting 2026 for work around AI use: submitting context, reviewing results, correcting errors, and cleaning up outputs. The report distinguishes between productive and unproductive effort. Botsitting can therefore also include meaningful human review and is not automatically avoidable rework.

    ELI5 – Explained simply

    You give the AI the necessary context, check its results and correct errors if necessary. This care effort can be useful, but also takes time.

    Why it matters in practice

    Relevant for ROI and automation assessment, because hidden human control and repair time can significantly reduce the benefit of an AI solution.

    Example

    Sample scenario: A person saves ten minutes when creating a draft, but then needs twelve minutes for missing context, corrections, and format cleanup.

    Pitfalls and limits

    • To present the term as an established standard; to classify the necessary quality assurance as waste; to equate human-in-the-loop with unplanned rework.

    Origin & history

    Glean’s Work AI Index uses “botsitting” 2026 as a term for work and productivity. This does not result in proof of an initial imprint or a standardized definition.

    Use in mid-sized companies

    • AI pilots not only measure processing time, but also control, correction and context effort. Recurring unplanned rework can be a signal for process, data or integration issues.

    Sources

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

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