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How World Vision Balances Global Spend Management with Local Realities

World Vision operates humanitarian programs across more than 100 countries, including fragile settings where stable internet, electricity, and even card-based payments cannot be assumed. In an SAP Concur Conversations episode, Global Spend Management Director Ben Andrews and Global Spend Manager Bob Perkinson described an approach built on flexibility, governance, trust, and responsible innovation rather than rigid mandates: technology must fit local infrastructure, standardization must leave room for localization, buy-in is built by giving regional and national leaders a stake, and Concur-based visibility helps demonstrate the donor promise. On AI, World Vision focuses on proven use cases…

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Impact and considerations

For multinationals, the case shows that global travel and expense programs cannot rely on mandates alone: in low-infrastructure locations, cash and manual processes remain necessary fallbacks, while localized exceptions and governance participation can improve adoption. Spend transparency is also framed as key to secu…

Key points

  • World Vision operates across more than 100 countries, including fragile environments where stable internet, electricity, and card-based payments cannot be assumed.
  • The organization argues technology creates value only when the local environment can support it, and modernization does not necessarily mean eliminating every manual process.
  • Standardization improved consistency across global processes, but differences in regulations, currencies, infrastructure, and purchasing power require localized exceptions.
  • As a confederated organization, World Vision builds buy-in by giving regional and national leaders a stake in governance rather than relying on top-down mandates.
  • Using Concur reporting and analysis, World Vision strengthens spend transparency to meet the expectations of government, corporate, and individual donors.
  • On AI, World Vision prioritizes proven use cases such as cleaning and normalizing manually entered, multi-language, multi-currency data.

Sources and time

Primary source
SAP Concur
Other sources
0
First source publication
15 Sept 2026, 20:51
Page published
16 Sept 2026, 03:57
Last updated
15 Sept 2026, 20:51
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