Implementing Predictive Maintenance (PdM) in production is a challenging and data-intensive task that requires data science experts who are capable to generate company specific maintenance strategies. There is intense competition between companies to hire these highly skilled experts. Their cost is an important barrier that limits the adoption of PdM. Manufacturers realize PdM with supportive software. Their users require expertise to work with it and the organization invests in employee trainings for this reason. DIAMOND aims to lower the barrier of introducing a digital intelligent assistance in PdM. It will use artificial intelligence to support less skilled employees during tasks, such as failure diagnosis, forecasting and maintenance planning. Employees will be able to have a conversation with it about machines and processes. They may use it during meetings, planning and shop floor tasks where it will provide information about machine health, components, and maintenance events.