Adopting the Design Science Research (DSR) methodology, the study begins the awareness phase with a qualitative analysis of the challenges in assessing environmental sustainability and cost-effectiveness of AI-supported marketing tasks at the company Bosch Power Tools Accessories (PT-AC), which represents the application context. In the suggestion phase, various methods for quantifying environmental impacts were examined, and the most suitable approach for the investigated context was selected. A calculation methodology was selected and applied to standardized marketing tasks at Bosch PT-AC. The results were visualized in an interactive dashboard that displays the environmental impacts and associated costs of each AI model per standardized inference task. Evaluation workshops were conducted to assess the artefact’s usefulness in raising awareness, supporting the AI model selection processes, and informing sustainability reporting.

The findings show that the framework effectively promotes internal awareness of the environmental impacts of AI, supports informed decision-making in model selection, and initiates sustainability-related discussions within the company. However, the application of the figures for use in external sustainability reporting is limited by the lack of validated emissions data from AI model providers, highlighting the need for further research and industry transparency.