NGOs
International organizations run digital presences across many countries: branches, regional offices, program areas, each with its own audience and language. The setup works. The next gains are what becomes possible when AI can read across all of it at once: governance at headquarters scale, reporting on demand, translation at a cost worth doing more of.
We built and run the digital platform behind a large multinational NGO's presence in 100+ countries. Each country branch controls its own content; the platform handles the shared parts: brand, accessibility, security, and the engineering economies of running 100+ sites as one. The constraints come with the territory: low bandwidth, multilingual audiences, regulatory and donor-reporting requirements. This is exactly the kind of operation where AI proves its value: continuous moderation across the network, draft reports for donors and headquarters, translation at a cost that lets more content reach more languages. What we won't do is automate the editorial work where local context and human judgment are the actual point; that produces noise, not value.
Capabilities
Hundreds of independent branch sites, run as one. Local teams keep autonomy on content; headquarters gets visibility, consistency, and the engineering economies of running them as a shared platform. The constraints that come with international work shape the design from the start: low-bandwidth audiences, multilingual content, donor and regulatory reporting. We don't bolt those on later.
When hundreds of teams publish independently, headquarters governance has historically been a sampling problem: review what you can, hope the rest is fine. AI moderation makes coverage continuous. Policy violations, broken links, missing required fields, accessibility regressions all get flagged before they're public, across every site, every time.
Donor reports want one shape; internal reports want another; partner reports want a third. AI drafts each shape from the underlying program data, and communications staff edit and approve rather than starting from a blank page. The reports that used to come quarterly because they were expensive can now come monthly because they aren't.
When content lives in six languages, translation cost has been the gating factor for what gets translated at all. AI drafts; native-speaker editors refine. Quality higher than machine-only, cost lower than human-only. The things that used to be “English-only because translating wasn’t worth it” become routinely available everywhere.