Staff spent 30 minutes compiling one dossier. AI builds it in five, shifting focus from paperwork to career counseling.
A Brazilian nonprofit dedicated to helping youth secure entry-level employment, connecting candidates with hiring companies across the country.
Staff relied on a manual process to match candidate profiles with job openings, requiring 30 minutes to build a single dossier report. This...
Instituto PROA's Job matching is part of this use case:
Non-profit providing job training and career placement for low-income youth in Brazil.
Enterprise database software and cloud infrastructure services.
Related implementations across industries and use cases
Staff manually searched websites for 30 minutes per report. AI now scours the web to build interview guides in five minutes.
Staff spent days reformatting resumes from JPEGs and text messages. Now, AI extracts skills into standard drafts for human review.
Manual reviews took 8 weeks. AI agents now score matches on shared values and longevity, projected to cut wait times by 50%.
Staff spent days reformatting resumes from JPEGs and text messages. Now, AI extracts skills into standard drafts for human review.
Recruiters manually sifted 800 CVs per role. A neural engine now ranks candidates instantly, cutting a month of work to 48 hours.
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.
Store managers lost applicants to a 10-day hiring cycle. Now, an AI agent screens and schedules via text, saving thousands of hours.
Manual scheduling and phone tag bottlenecked hourly hiring. Now, an AI text assistant instantly screens and books candidates 24/7.
Staff spent 30 minutes compiling one dossier. AI builds it in five, shifting focus from paperwork to career counseling.
A Brazilian nonprofit dedicated to helping youth secure entry-level employment, connecting candidates with hiring companies across the country.
Staff relied on a manual process to match candidate profiles with job openings, requiring 30 minutes to build a single dossier report. This...
Instituto PROA's Job matching is part of this use case:
Non-profit providing job training and career placement for low-income youth in Brazil.
Enterprise database software and cloud infrastructure services.
Related implementations across industries and use cases
Staff manually searched websites for 30 minutes per report. AI now scours the web to build interview guides in five minutes.
Staff spent days reformatting resumes from JPEGs and text messages. Now, AI extracts skills into standard drafts for human review.
Manual reviews took 8 weeks. AI agents now score matches on shared values and longevity, projected to cut wait times by 50%.
Staff spent days reformatting resumes from JPEGs and text messages. Now, AI extracts skills into standard drafts for human review.
Recruiters manually sifted 800 CVs per role. A neural engine now ranks candidates instantly, cutting a month of work to 48 hours.
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.
Store managers lost applicants to a 10-day hiring cycle. Now, an AI agent screens and schedules via text, saving thousands of hours.
Manual scheduling and phone tag bottlenecked hourly hiring. Now, an AI text assistant instantly screens and books candidates 24/7.