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.”
Children International's Workflow automation is part of this use case:
Humanitarian aid organization for children living in poverty.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Prepared the technological foundation and rolled out Microsoft 365 Copilot to global teams.
Related implementations across industries and use cases
Manual coordination across systems bottlenecked teams. Now, employees build custom AI agents to automate tasks like purchase analysis.
Employees faced email avalanches and 2-hour storyboard drafts. AI summarizes backlogs and cuts drafting to 30 minutes.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Manual coordination across systems bottlenecked teams. Now, employees build custom AI agents to automate tasks like purchase analysis.
Employees faced email avalanches and 2-hour storyboard drafts. AI summarizes backlogs and cuts drafting to 30 minutes.
Off-hour callers in crisis waited days for help. Now, voice AI fields calls, routes urgent cases to humans, and automates documentation.
A 20% donation drop overwhelmed staff relying on manual outreach. Now, AI prioritizes lapsed donors and drafts emails for staff approval.
Manual maintenance reports and routine purchases bottlenecked staff. AI agents now accurately classify faults and recommend suppliers.
QA teams manually searched vast incident logs to assess deviations. Now, multi-agent AI synthesizes past cases into verified summaries.
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.”
Children International's Workflow automation is part of this use case:
Humanitarian aid organization for children living in poverty.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Prepared the technological foundation and rolled out Microsoft 365 Copilot to global teams.
Related implementations across industries and use cases
Manual coordination across systems bottlenecked teams. Now, employees build custom AI agents to automate tasks like purchase analysis.
Employees faced email avalanches and 2-hour storyboard drafts. AI summarizes backlogs and cuts drafting to 30 minutes.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Manual coordination across systems bottlenecked teams. Now, employees build custom AI agents to automate tasks like purchase analysis.
Employees faced email avalanches and 2-hour storyboard drafts. AI summarizes backlogs and cuts drafting to 30 minutes.
Off-hour callers in crisis waited days for help. Now, voice AI fields calls, routes urgent cases to humans, and automates documentation.
A 20% donation drop overwhelmed staff relying on manual outreach. Now, AI prioritizes lapsed donors and drafts emails for staff approval.
Manual maintenance reports and routine purchases bottlenecked staff. AI agents now accurately classify faults and recommend suppliers.
QA teams manually searched vast incident logs to assess deviations. Now, multi-agent AI synthesizes past cases into verified summaries.