This study contributes to the field of user acceptance in hybrid Human-Machine Interaction (HMI) environments by establishing criteria and best practices in the exploration of factors that drive acceptance in hybrid HMI settings. This research provides a framework to guide the future development of the ABILI platform, ensuring it meets both user needs and industry demands.

Through the integration of user-centred design, real-time evidence-based guidance and intuitive interaction mechanisms, the study addresses critical elements of acceptance, such as usability, transparency and trustworthiness. These insights establish a foundation for ABILI to continually adapt and evolve as a consulting tool that not only supports digital transformation but also enhances user acceptance through structured, actionable recommendations. This framework establishes criteria and best practices to improve User Acceptance in Human-Machine Interaction (HMI), with the goal of enhancing the user experience and functionality of the ABILI platform through targeted evaluation and validation. Additionally, the study examines the relationship between technical innovation and human factors, showing how design choices can build user trust and improve interaction. By identifying obstacles to user acceptance and proposing practical solutions, the research creates a clear roadmap for improving the user acceptance of the ABILI platform. Results show that focusing on transparency and usability significantly boosts user satisfaction and engagement. Importantly, this study bridges the gap between theory and practice by turning abstract concepts of user acceptance into concrete, real-world applications. Furthermore, by highlighting the potential for these findings to influence efforts such as developing more user-centred features, refining interaction mechanisms and aligning with user expectations, it demonstrates a clear strategy for improving the ABILI platform’s acceptance among users. Ultimately, this work underscores the value of adaptive, user-focused design in advancing hybrid HMI systems and their role in modern consulting environment