Profitability analyses for AI are particularly important in the areas of artificial intelligence, digital transformation and Industry and Factory 4.0. They help companies to recognise whether the use of artificial intelligence (AI) is financially worthwhile.
A profitability analysis for AI examines the costs incurred by the introduction and utilisation of AI and the benefits that can be achieved, such as savings or increases in turnover. This includes comparing investments, running costs and the expected benefits. The aim is to make a well-founded decision as to whether an AI project actually makes sense.
A simple example: A manufacturer is considering introducing AI-supported quality control in production. The analysis considers the acquisition costs for the software, employee training and ongoing maintenance. This is offset by savings due to fewer production errors and faster processes. In the end, the profitability analysis shows whether and when this investment will pay off.
Profitability analyses for AI therefore ensure that companies realistically assess opportunities and risks and only use AI where the added value is clearly demonstrable.
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