SaaS AI-for-Good Grant Proposal Skill

Overview

AI-for-good grants follow different rubrics than commercial AI funding. Grantmakers weight theory-of-change, training-data provenance, community benefit, ethics, explainability, local-capacity-building, and impact measurement higher than ARR growth and Rule of 40. This skill builds the proposal that wins both substance and rubric.

Use When

• AI-SaaS plan is grant-funded or grant-co-funded
• Africa-context AI plan is targeting AI-for-good envelopes
• Training-data acquisition or local-language coverage needs Lacuna Fund / Mozilla / IDRC-class funding
• AI ethics / governance / fairness build-out needs grant capital
• Public-sector AI implementation needs donor co-funding

Do Not Use When

• Plan is pure commercial AI fundraise — use saas-ai-funding-stage-playbook
• Plan has no AI-for-good thesis (don't reverse-engineer one)