Every organisation using AI has already allocated its judgement. Most did it by default, one tool and one shortcut at a time, and an organisation that has never written the list has answered the question without asking it.
The answer, in one line
Deciding deliberately which decisions are made by people, which by AI, and how accountability is assigned, rather than letting that boundary move on its own as tools spread.
Definition#
Judgement allocation is deciding deliberately which decisions are made by people, which by AI, and how accountability is assigned, rather than letting that boundary move on its own as tools spread.
Three questions it settles#
The allocation comes down to three questions, asked before a system is bought rather than after it is running:
- Where should judgement stay human as AI takes more of the decisions?
- Who is able to stop a system, by name, and how would they know they needed to?
- What must the organisation remain able to do on its own, without the tools it has bought?
Each answer is a line on a page with a role against it. A boundary that nobody wrote down still exists. It sits wherever the last convenient shortcut put it.
It belongs to the chief executive#
Ownership of the allocation cannot be handed to the team buying the tools. Deciding which decisions stay human as adoption increases is a decision about what the organisation is, and it sets the risk position, the capability position and the shape of the work for years. The argument is set out in full on who should own AI strategy.
Drift, design and custody#
Three ideas on this site describe the same ground from different sides. Drift is what happens when the allocation is left undone and the boundary moves by itself. Design is choosing it on purpose. Custody is the written result: the list of decisions and capabilities kept by hand, with names against them.
Judgement allocation is the decision in the middle, and the habit of revisiting it each time the tools change.
Where the allocation gets made#
Rules Before Tools. One day with the executive team, writing in the room's own words what the machines may do and who can stop each one, before another tool is bought. The session.
A board session. It ends with a four-line record: which decisions the machines may make, who can stop each one, how you would know if one went wrong, and what management reports next time. Board advisory.
The Drift versus Design keynote. The signature talk is built around the allocation, and ends with a live test of the room's own judgement. The keynote.
Who else uses the phrase#
The phrase is not unique to this site, and no claim to have coined it is made here. It appears in other writing on AI and organisations, including corporate research that has organised its reporting around human agency and the allocation of judgement. This page sets out how this research uses it, so that the term means one thing wherever it appears on the site.
The limits of a definition#
It cannot tell you which decisions belong on your list. That depends on what your organisation is for, the regulation it works under and the capabilities it intends to keep, and a page cannot know those things. It is a practice to adopt, and the evidence for why it matters is on AI and human judgement.
Explainer · SS-2026-404 · Graded against the published rubric
Hirji, R. (2026). What is judgement allocation?. The SuperSkills evidence base, SS-2026-404. https://thesuperskills.com/research/what-is-judgement-allocation. Last reviewed 4 October 2026.
An evidence review by Rahim Hirji, not peer-reviewed research. For a material claim, cite the underlying study as well; every study here carries its own permanent link.
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