Working paper · Zenodo · 2026-11-09

From Adoption to Mission Value: A Governance-Gated Framework for Generative AI in Nonprofit Organisations

By Thomas Anthony Guerriero (listed on Zenodo as Guerriero, Thomas A.) · DOI 10.5281/zenodo.24088807

nonprofit governancegenerative artificial intelligencemission valuetechnology adoptionorganisational learning

Summary

Thomas Anthony Guerriero asks why a nonprofit can welcome generative AI and still miss clear mission results. Building on prior work on adoption in Florida nonprofits, this working paper separates favourable attitudes, authorised deployment, sustained use and mission value. It proposes a governance-gated framework: leadership communication and readiness can open the door to experiments, but moving forward should depend on task-specific assurance — a clear mission rationale, an accountable decision owner, proportionate evaluation, routes for challenge and a feasible way to stop. The paper offers six propositions on adoption transitions, learning, verification burdens and how to read discontinuation, and it sketches a longitudinal research design. It presents no original empirical data; the propositions still need testing across missions, sizes and regulatory settings.

Publication details

For educational purposes; not legal advice. This page summarises a public Zenodo record and links to the original.

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