In today’s digital age, the integration of artificial intelligence (AI) systems is essential for businesses to streamline workflows and boost efficiency. The Bhutan Trust Fund for Environmental Conservation depends on manual processes to screen project proposals, leading to significant delays and transparency issues. An automated AI-based system, particularly one that employs natural language processing with Hugging Face transformers, is proposed to mitigate these challenges. This system has been demonstrated to reduce screening time by 70.21% while achieving a content accuracy of 91.8%, marking a substantial improvement in efficiency. However, its limitation lies in not providing automatic scoring for proposals based on predefined criteria, a feature that could minimize human involvement further. By extracting relevant information and presenting condensed concept notes, the system streamlines the decision-making process, significantly reducing the resources required for project proposals screening. This advancement is particularly impactful for Bhutan, a country with a rich ecosystem and a focus on donor agencies such as the Adaptation Fund (AF) and the Green Climate Fund (GCF). Implementing a reliable AI system addresses the concerns of donor agencies and supports their priority of enhancing efficiency and transparency.