Public sector peer-run behavioral health organizations (PROs) are essential providers supporting Americans facing tough times. These organizations offer holistic care that extends beyond mental and behavioral health to include services such as housing, employment support, and income assistance. However, many PROs operate with limited staffing and outdated infrastructure, making it difficult to meet rising service demands. While large healthcare systems increasingly use Artificial Intelligence (AI) to improve efficiency, peer-led organizations have had limited access to AI tools built specifically for their service models and day-to-day challenges. This project addresses that gap through a partnership with the Collaborative Support Programs of New Jersey (CSPNJ), a statewide, peer-run behavioral health organization. Together, we are developing PeerCoPilot, an AI-powered assistant designed to help peer providers deliver faster, more tailored, and more consistent support to service users, without replacing the human connection at the core of peer work. The project is designed to scale across similar peer-run organizations, creating a model for efficient technology integration in the safety-net behavioral health sector across the US. This project applies a community-centered AI design framework to develop and evaluate PeerCoPilot, an AI assistant for peer providers in high-need behavioral health settings. During our Stage 1 planning grant, we co-designed and tested the first