Situated Instantiations of AI Agent Systems in Organizational Contexts

48.2 KB of data on agentic departments, which are self-organizing ensembles of AI agents assuming institutional positions to achieve complex functions. The dataset was authored by Paul Brützke and last updated on April 29, 2026. It is available as an XLSX file under a CC-BY-4.0 license.

Use Cases

• Analyze the structure of self-organizing AI agent ensembles based on the concept of agentic departments.
• Study the functional roles AI agents assume within organizations as described in the data.
• Model complex organizational functions achieved by autonomous AI systems based on the dataset's instantiations.

Strengths

• Dataset is small (48.2 KB), facilitating quick download and initial exploration.
• Data is shared under a permissive CC-BY-4.0 license, allowing for broad reuse.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale analysis.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Paul Brützke via figshare

Freshness

Last updated 2026-04-29 11:56:22; freshness should be verified.