This research explores avenues for enhancing matchmaking between impact investors and impact-driven enterprises to advance progress toward the Sustainable Development Goals (SDGs). The study focuses on improving an AI-driven matchmaking algorithm developed by Impact Investing Solutions, while also generating insights to support collaboration across the broader impact investing ecosystem. It explores current trends in impact investing and examines the evolving role of AI in sustainable development, including its potential risks. Using a mixed-methods approach — combining key informant interviews and a survey — the study identifies key opportunities and challenges, including: integrating existing foundation models when building in-house AI systems; preserving human interaction in the matchmaking process; reducing the exclusion of niche enterprises; leveraging AI for risk management, investment tracking, and due diligence; aligning with investment trends while ensuring inclusivity; and addressing issues of AI bias and workforce disruption in investment decision-making.