Recent advances in Artificial Intelligence extend the boundaries of what machines can do in all industriesand business sectors. The economic potential to apply AI in manufacturing results in an increasing numberof companies striving to gain a competitive advantage through AI and move into new markets. In thiscontext, particular importance is given to the predictive maintenance of machines. Predictive maintenancepromises the possibility of avoiding unexpected machine downtimes and thus increasing the availability ofproduction lines. However, only a few machine manufacturers have a marketable offering of AI-basedproducts or services in their portfolio. Even if technical feasibility is proven, companies lack anunderstanding of how to integrate AI solutions into new Business Models. This paper thus presents threecase studies and their Business Models as examples. Practical considerations and recommendations on thestrategical adoption of predictive maintenance technologies are derived.