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A roadmap to Ai for Ngos: a Cáritas case study - an adapted data governance framework for Ai readiness in federated nonprofit organizations
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| 1.1 MB | Adobe PDF |
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Federated nonprofits face unique AI implementation challenges due to data fragmentation across autonomous entities. Existing governance frameworks address corporate hierarchies rather than decentralized nonprofits requiring voluntary coordination. This research adapts and synthesizes established data governance frameworks (Alation, 2024; DAMA International, 2017; Khatri & Brown, 2010) specifically for federated nonprofit organizations preparing for AI implementation. The adapted framework comprises three components: a three-tier governance architecture defining decision rights across central, federated, and autonomous levels; a five-level maturity model establishing AI readiness thresholds; and implementation principles balancing standardization with organizational autonomy.
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Data governance Federated nonprofits AI readiness Organizational autonomy Maturity model