Manual survey tagging kept staff from the field. Now, workers use Copilot to analyze donor feedback and build tracking apps in days.
A global nonprofit combating generational poverty among 333 million children worldwide, managing programs across a 10-country territory with roughly 32,000 children awaiting sponsorship every month.
The organization aims to increase one-on-one child interventions by 25 percent without raising costs, but staff were constrained by heavy...
“I am one of the living testimonies of the success of Children International producing successful individuals. Just like how the staff of Children International supported me, trusted in me, I want to share it with my students.”
Humanitarian aid organization for children living in poverty.
Prepared the technological foundation and rolled out Microsoft 365 Copilot to global teams.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Children International's Workflow automation is part of this use case:
Related implementations across industries and use cases
Typing barriers and manual admin slowed disabled staff. Now, AI handles drafting and notes, freeing teams for direct community engagement.
Manual coordination across systems bottlenecked teams. Now, employees build custom AI agents to automate tasks like purchase analysis.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Typing barriers and manual admin slowed disabled staff. Now, AI handles drafting and notes, freeing teams for direct community engagement.
Manual coordination across systems bottlenecked teams. Now, employees build custom AI agents to automate tasks like purchase analysis.
Field teams couldn't support 100,000 remote farmers. Now, an AI agent answers routine crop questions, routing complex cases to experts.
Drafting grant proposals took hours, limiting new outreach. Now, AI generates tailored drafts so staff can focus on the narrative.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.
Manual survey tagging kept staff from the field. Now, workers use Copilot to analyze donor feedback and build tracking apps in days.
A global nonprofit combating generational poverty among 333 million children worldwide, managing programs across a 10-country territory with roughly 32,000 children awaiting sponsorship every month.
The organization aims to increase one-on-one child interventions by 25 percent without raising costs, but staff were constrained by heavy...
“I am one of the living testimonies of the success of Children International producing successful individuals. Just like how the staff of Children International supported me, trusted in me, I want to share it with my students.”
Humanitarian aid organization for children living in poverty.
Prepared the technological foundation and rolled out Microsoft 365 Copilot to global teams.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Children International's Workflow automation is part of this use case:
Related implementations across industries and use cases
Typing barriers and manual admin slowed disabled staff. Now, AI handles drafting and notes, freeing teams for direct community engagement.
Manual coordination across systems bottlenecked teams. Now, employees build custom AI agents to automate tasks like purchase analysis.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Typing barriers and manual admin slowed disabled staff. Now, AI handles drafting and notes, freeing teams for direct community engagement.
Manual coordination across systems bottlenecked teams. Now, employees build custom AI agents to automate tasks like purchase analysis.
Field teams couldn't support 100,000 remote farmers. Now, an AI agent answers routine crop questions, routing complex cases to experts.
Drafting grant proposals took hours, limiting new outreach. Now, AI generates tailored drafts so staff can focus on the narrative.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.