Workforce-Powered Innovation, in practice.™

Case workers lacked confidence using AI tools in client intake.

8-week Innovation Challenge with 12 SEEN fellows researching AI literacy gaps, prototyping training, and validating with frontline staff.

• AI literacy curriculum deployed to 40+ case workers
• Average intake time reduced 32%
• 12 fellows credentialed; 4 hired into workforce-tech roles

Manual intake forms creating backlogs and patient frustration.

Fellowship cohort designed and tested an AI-assisted intake workflow over a 12-week build-and-validate sprint.

• Form completion time cut from 18 to 6 minutes
• Patient satisfaction up 24 points
• Open-source playbook published for peer co-ops

Needed evidence of whether a vendor's hiring AI introduced bias.

Research & Validation Partnership ran an independent audit using community-led methodology.

• Bias patterns documented across 3 protected classes
• Vendor contract renegotiated; mitigation plan adopted
• Findings cited in two regional policy briefs