Feedback in 30+ languages piled up, safeguarding reports sometimes misgraded. Claude translates and proposes grades; staff own the call.
A global humanitarian organization running more than 200 programs across 30+ countries, with a structured feedback mechanism where program participants and surrounding communities can report anything from questions about assistance to safeguarding concerns and complaints about staff conduct.
Feedback arrived in dozens of local languages, from Burmese and Ukrainian to Spanish and French, requiring manual transcription, translation, theme...
“The whole point of accountability is that the person who raised the concern trusts that we hear it, act on it and report back in a timely manner. If a serious report sits in a queue unread or gets logged as routine when it should have been escalated, we have not just missed a data point. We have let down someone who took a risk to speak up, and we may have left a protection issue unaddressed.”
International humanitarian and development NGO operating in 30+ countries.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Prosper Global's Feedback analysis is part of this use case:
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Feedback in 30+ languages piled up, safeguarding reports sometimes misgraded. Claude translates and proposes grades; staff own the call.
A global humanitarian organization running more than 200 programs across 30+ countries, with a structured feedback mechanism where program participants and surrounding communities can report anything from questions about assistance to safeguarding concerns and complaints about staff conduct.
Feedback arrived in dozens of local languages, from Burmese and Ukrainian to Spanish and French, requiring manual transcription, translation, theme...
“The whole point of accountability is that the person who raised the concern trusts that we hear it, act on it and report back in a timely manner. If a serious report sits in a queue unread or gets logged as routine when it should have been escalated, we have not just missed a data point. We have let down someone who took a risk to speak up, and we may have left a protection issue unaddressed.”
International humanitarian and development NGO operating in 30+ countries.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Prosper Global's Feedback analysis is part of this use case:
Related implementations across industries and use cases
Evidence from 200+ programs sat unanalyzed — teams had the expertise, not the capacity. Country teams now lead their own analysis.
Manual grading bottlenecked 60-student classes. Claude now evaluates handwritten photos and generates personalized, bilingual feedback.
Agents pieced together borrower info from scattered systems, delaying help for days. Now, an AI copilot helps them resolve cases 56% faster.
Scattered across four finance modules, approval logs took five hours to cross-reference. One prompt now flags every exception in minutes.
Organizing tens of thousands of compliance documents bottlenecked audits. Now, AI structures files and drafts summaries for expert review.
Each childhood tumor has unique genetic drivers—adult protocols don't apply. Spreadsheets meant 6-month waits; Azure cut that to weeks.
Each funding partner took 12 hours to vet. A Copilot agent now scans their news and websites, handing fundraisers a risk summary to review.
Data siloed across five products, no shared identity. A unified ID and AI trained on slang now complete cancellations inside the chat.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.