One of the world’s leading humanitarian organizations, among the top twenty charities in the United States, has dedicated its mission to lifting children out of poverty and providing access to education and development opportunities. With programs spanning multiple continents and reaching children across multiple continents, the scale of its operations is extraordinary. But scale comes with a plethora of challenges and risks. Every day, enormous volumes of two‑sided communications flow through its systems – supporter‑to‑participant correspondence across digital messages and digitized letters – alongside other user‑generated content. Ensuring that this content is safe for children has become a growing challenge.
For years, the organization relied on staff and volunteers to manually review submissions. But with content surging year over year, rising message volumes meant the team could review less than 10% of incoming communications, leaving the vast majority unchecked and raising unacceptable safety and reputational risk. At the same time, the alternative – hiring dozens of human reviewers – would have consumed hundreds of thousands of dollars annually, also redirecting critical resources away from programs that children depend on. Leadership faced a stark choice: either continue exposing themselves to reputational and safety risks, or incur unsustainable operational costs. Something had to change.
This was the context in which the organization turned to datarabbit. Recommended by a trusted partner and impressed by the speed and clarity of the discovery phase, they asked us to help build a solution that would eliminate the bottleneck without compromising safety. Our joint approach was straightforward but ambitious: build a platform capable of automatically screening all content, in real time, with the ability to expand as future needs emerged.
The resulting system was built on an event-driven, cloud-native architecture that enabled continuous ingestion and analysis of content at scale. Instead of piecemeal manual checks, the charity could now start processing 100% of its digital content – text first, with the framework ready to extend to images, audio, or video when required. Automated monitoring, security controls, and extensibility were all built in, ensuring both safety and long-term adaptability. For the organization’s internal teams, this meant a platform they could own and extend with their own screening algorithms in the future, not a one-off black box.
The results were decisive: the organization moved from reviewing <10% of incoming correspondence to 100% automated coverage being possible, eliminating hundreds of hours of manual review per week and avoiding six‑figure annual costs that would otherwise be required to staff a review operation at scale. Most importantly, leadership can now stand behind a simple promise: every supporter‑to‑participant communication is screened to protect recipients and the mission.
For datarabbit, this engagement underscored the power of data and AI to protect what matters most. We have delivered over twenty compliance-sensitive projects across healthcare, nonprofit, and enterprise settings, always with the same focus: building solutions that are secure, scalable, and tied directly to business outcomes. In this case, the outcome wasn’t just operational efficiency – it was ensuring millions of children could safely access the resources meant to help them thrive.
Turn partial checks into 100% automated coverage—while cutting costs and risk.
Whether it’s content, communications, documents, or data workflows, we help teams eliminate manual backlogs, reduce exposure, and redirect budget to what matters. Book a discovery call.
