This research investigates intelligent-based methodologies for navigating the dual imperatives of innovation and standard adoption within system developments aimed at sustainable technological progress. Employing a mixed-methods approach that includes literature reviews, case studies, surveys, interviews, workshops, and focus groups, the study examines the interplay between innovative practices and standard adoption across various industries. In the rapidly evolving technological landscape, balancing the drive for innovation with adherence to established standards presents both synergies and trade-offs. Key findings highlight the importance of leveraging intelligent systems, adaptive regulatory frameworks, multi-stakeholder engagement, and early integration of standards in the innovation process. Achieving long-term sustainable outcomes also relies on agile innovation management techniques and comprehensive sustainability evaluation tools. The study culminates in a strategic technology roadmap offering firms practical guidance on effectively balancing innovation with regulatory requirements. With the use of a supervised machine learning (SML) approach, it was noticed that the R² of 0.92, suggested that 92% of the variance in innovation project success rate is explained by the model. Positive Coefficients in features like R&D Investment, Patents Filed, Balancing Innovation and Standards, and Market Competition positively impact the success rate. The Negative Coefficients in features like Compliance with Major Standards, Frequency of Audits, and Rapid Technological Changes negatively impact the success rate. This research provides valuable insights for achieving sustainable technological advancements and contributes to the body of knowledge on navigating the challenges of innovation and standard adoption.