Industries that rely on disposable components face increasing pressure to innovate sustainably. This study addresses the challenge of developing biodegradable alternatives to conventional filtration materials, focusing on the replacement of cellulose acetate, whose degradation requires over a decade, with more eco-friendly, paper-based solutions. The research investigates how combined structured innovation methodologies can accelerate this transition. A hybrid approach was designed, combining TRIZ (Theory of Inventive Problem Solving) with the SPRINT methodology to guide a five-day innovation workshop within a filtration company. TRIZ tools were used to identify technical contradictions replacing the early ideation phase of SPRINT, while the later stages focused on rapid prototyping and user validation. In addition, an AI-powered chatbot, based on TRIZ principles, was employed post-workshop to test whether Artificial Intelligence could independently reach similar insights and solution directions, thereby reinforcing or challenging the validity of the human-derived outcomes. The findings confirm that integrating TRIZ into the SPRINT process significantly enhances the quality, focus, and feasibility of the generated solutions. The structured combination of contradiction analysis and rapid prototyping enabled the team to develop robust and environmentally viable concepts within a compressed timeframe. A post-workshop comparative exercise using a TRIZ-based AI chatbot highlighted partial alignment with the human-derived outcomes. While not a replacement for human collaboration, the AI tool showed potential as a complementary asset for post-session validation and future hybrid innovation workflows.