Amid the rapid evolution of artificial intelligence (AI), the need for a trust-based governance framework has gained prominence. While AI promises substantial benefits, its responsible integration demands meticulous attention due to its intricate, often inscrutable nature. In contrast to traditional technologies, AI’s dynamic behaviour and potential biases raise concerns regarding ethics, fairness, and unintended consequences. This paper advocates for a principled governance model to ensure responsible AI adoption. In the context of the evolving AI landscape, the paper serves the purpose of converting the widely accepted principles of trustworthy AI into tangible, actionable steps designed for both AI developers and AI users. Furthermore, the paper provides a comprehensive approach that addresses both the technical and non-technical dimensions. The technical layer of the strategies is dedicated to crafting practical and deployable solutions for integrating trustworthy AI into intricate systems. This involves designing mechanisms that ensure transparency, fairness, and accountability within AI’s intricate workings. In parallel, the non-technical layer delves into pioneering incentive strategies that cultivate a climate of conscientious AI adoption. This layer actively contributes to building a sustainable framework for AI utilization by encouraging ethical practices and responsible decision-making.