W7171670583 Working papers AI × management and organizations

Multi-Agent AI Systems are Organizations

Jose Arrieta · Vivianna Fang He · Phanish Puranam · Yash Raj Shrestha

Also recorded as: doi:10.2139/ssrn.6813862 · ssrn:6813862

ssrn abstract page · 2026-06-03

Recorded claims
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coded from the inspected source
Evidence classes
1
ssrn-abstract-page
Recorded limitations
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stated, never hidden

From the hash-bound evidence releases

Recorded claims

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The abstract argues that multi-agent AI systems face substrate-neutral problems of organizing identified by organization science and applies that framing to both all-artificial and mixed human–AI systems.

confidence: high ssrn-abstract-page apw-e1-ssrn-backfill

Scope: abstract-level organization-design contribution

Structured relationships

In-corpus citations

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Cites (0)

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Boundaries

Limitations & independence

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Recorded limitations

  • Abstract-level evidence only; full text not inspected.
  • The abstract refers to an existing taxonomy of 1,642 execution traces but does not state the study period or enough taxonomy detail for denominator-complete statistical use; that figure is not used in the claim.

Source independence

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