Sales dashboard that summarises but recommends nothing
A commercial team uses reporting software that applies statistical methods to calculate total sales, average sales per region and trends over time, and displays them in charts. The dashboard makes no suggestion about how to improve sales or which products to promote.
The official source remains authoritative. This is general information about obligations and not legal advice. See this object on the map
Address and citation
This object has an address of its own that is never renamed or reused. Store the identifier in your own file, not the title or the link.
- Identifier
praxikon:eu:ai-act:example:example-verkoopdashboard-beschrijvende-analyse- Payload hash (sha256)
e61b71a0487403e6ed06fb28cd204f5735f1f9862c9c3301ef6700a849fcaa5c
Citation line
Praxikon, "Sales dashboard that summarises but recommends nothing", praxikon:eu:ai-act:example:example-verkoopdashboard-beschrijvende-analyse@1.0.0, dataset praxikon:sys:registry:dataset:ai-act-implementation-graph 2.1.0 (schema 1.4.0), effective_at 2026-08-08T00:00:00.000Z, known_at 2026-08-14T00:00:00.000Z, sha256 e61b71a0487403e6ed06fb28cd204f5735f1f9862c9c3301ef6700a849fcaa5c- Version
- 1.0.0
- Legal time (effective_at)
- 8 August 2026
- Knowledge time (known_at)
- 8 August 2026
- Closed on
- Not closed
- Topics
- examples
Review status: Placed against the official source (8 August 2026). Next check due by 4 February 2027. The check date is the knowledge date of this version; no later recheck has been recorded.
What this object links to
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The obligation this hangs off
1 of 1 shown
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Source
Official fact on this object, with its locator.
Guidelines on the definition of an AI system, C(2025) 5053 final
Locator: Commission Guidelines C(2025) 5053 final, 29.7.2025, borderline cases under the definition in Article 3(1)
praxikon:eu:ai-act:source:commission-ai-system-definition-guidelines
Open official source
Via
No condition or exception recorded on this object.
Consequence
ObligationArticle 4: AI literacy
praxikon:eu:ai-act:obligation:article-4-ai-literacy
What this object is about
1 of 1 shown
The object is about this role. Undifferentiated: it does not follow that the duty rests on this role.
Source
Official fact on this object, with its locator.
Guidelines on the definition of an AI system, C(2025) 5053 final
Locator: Commission Guidelines C(2025) 5053 final, 29.7.2025, borderline cases under the definition in Article 3(1)
praxikon:eu:ai-act:source:commission-ai-system-definition-guidelines
Open official source
Via
No condition or exception recorded on this object.
Consequence
ActorDeployer
praxikon:eu:ai-act:actor:deployer
What this object states
Official fact
Attributable to a named primary source, with a locator. Where they differ, the official source prevails.
The Commission guidelines on the definition of an AI system use this case to draw the line between software that does and does not fall under the regulation. The document is non-binding.
- Locator: Commission Guidelines C(2025) 5053 final, 29.7.2025, borderline cases under the definition in Article 3(1)praxikon:eu:ai-act:source:commission-ai-system-definition-guidelinesOpen official source
Our interpretation
Our own reading. It can change without the law changing, and it is not the position of a supervisory authority.
If your dashboard did start making suggestions, that alone would not turn it into an AI system, since the guidelines state that non-AI systems can generate recommendations as well.
- Locator: Commission Guidelines C(2025) 5053 final, 29.7.2025, borderline cases under the definition in Article 3(1)praxikon:eu:ai-act:source:commission-ai-system-definition-guidelinesOpen official source
When this applies
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When this does not apply
No exception recorded on this object.
Referring to this object
Citation block
Copy this reference into your advice, article or file. The identifier, the version and the hash keep the statement findable later, even once the dataset has moved on.
Reference
Praxikon, "Sales dashboard that summarises but recommends nothing", praxikon:eu:ai-act:example:example-verkoopdashboard-beschrijvende-analyse@1.0.0, dataset praxikon:sys:registry:dataset:ai-act-implementation-graph 2.1.0 (schema 1.4.0), effective_at 2026-08-08T00:00:00.000Z, known_at 2026-08-08T00:00:00.000Z, sha256 e61b71a0487403e6ed06fb28cd204f5735f1f9862c9c3301ef6700a849fcaa5c, https://www.praxikon.com/en/verkenner/example/example-verkoopdashboard-beschrijvende-analyse (https://www.praxikon.com/api/v1/entities?id=praxikon%3Aeu%3Aai-act%3Aexample%3Aexample-verkoopdashboard-beschrijvende-analyse&effective_at=2026-08-08&known_at=2026-08-08&lang=en, accessed 2026-08-25)
Short form
praxikon:eu:ai-act:example:example-verkoopdashboard-beschrijvende-analyse@1.0.0 (sha256 e61b71a0)
BibTeX
@misc{praxikon-eu-ai-act-example-example-verkoopdashboard-beschrijvende-analyse-1-0-0,
author = {{Praxikon}},
title = {Sales dashboard that summarises but recommends nothing},
year = {2026},
version = {1.0.0},
number = {praxikon:eu:ai-act:example:example-verkoopdashboard-beschrijvende-analyse},
howpublished = {AI Act Change \& Evidence Graph, dataset 2.1.0, schema 1.4.0},
note = {effective_at 2026-08-08T00:00:00.000Z; known_at 2026-08-08T00:00:00.000Z; sha256 e61b71a0487403e6ed06fb28cd204f5735f1f9862c9c3301ef6700a849fcaa5c},
url = {https://www.praxikon.com/en/verkenner/example/example-verkoopdashboard-beschrijvende-analyse},
urldate = {2026-08-25},
language = {en}
}CSL JSON
[
{
"id": "praxikon:eu:ai-act:example:example-verkoopdashboard-beschrijvende-analyse@1.0.0",
"type": "dataset",
"title": "Sales dashboard that summarises but recommends nothing",
"container-title": "AI Act Change & Evidence Graph",
"publisher": "Praxikon",
"version": "1.0.0",
"number": "praxikon:eu:ai-act:example:example-verkoopdashboard-beschrijvende-analyse",
"URL": "https://www.praxikon.com/en/verkenner/example/example-verkoopdashboard-beschrijvende-analyse",
"language": "en",
"issued": {
"date-parts": [
[
2026,
8,
8
]
]
},
"accessed": {
"date-parts": [
[
2026,
8,
25
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},
"note": "dataset praxikon:sys:registry:dataset:ai-act-implementation-graph 2.1.0; schema 1.4.0; effective_at 2026-08-08T00:00:00.000Z; known_at 2026-08-08T00:00:00.000Z; sha256 e61b71a0487403e6ed06fb28cd204f5735f1f9862c9c3301ef6700a849fcaa5c; retrieved_from https://www.praxikon.com/api/v1/entities?id=praxikon%3Aeu%3Aai-act%3Aexample%3Aexample-verkoopdashboard-beschrijvende-analyse&effective_at=2026-08-08&known_at=2026-08-08&lang=en; licence https://www.praxikon.com/nl/legal/terms"
}
]How to verify a reference later is set out in the methodology. Terms
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