paperSeptember 2026Unreviewed

When Agent Governance Helps

Michael Ray Johnson, Linda Naimi

Abstract

No specification says how a governed autotelic AI agent organization, where agents pursue self-generated goals inside guardrails, should be designed and evaluated. We answer in two parts. First, we synthesize the Governed Autotelic Multi-Agent Product Organization (GAMPO) framework from a document-based qualitative evidence synthesis of 321 sources, integrating agency, agile, platform, and governance theory into a runnable specification. Second, we probe a prompt-layer instantiation of GAMPO on

Cite

@misc{johnson2026when,
  title = {{When Agent Governance Helps}},
  author = {Michael Ray Johnson and Linda Naimi},
  year = {2026},
  month = sep,
  eprint = {2609.05531},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.05531}
}