Botsitting
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.
Related terms
- Human-in-the-loop
- Automation
- Quality assurance
- Agent monitoring
Matching Flow-alerta service
AI assistants & automationAI assistants & automation: test a suitable process with clear rights and human test points.Matching tool / use case
View use casesUse Case: Time measurement of AI creation plus correction, control and rework effort.Sources
- www.glean.comGlean Work AI Institute, Work AI Index 2026
Quellenprüfung: 09.10.2026. Definition und dokumentierte Einordnung abgeglichen; Beispiele beschreiben mögliche Anwendungen.
Editorially reviewed on: