Abstract: An owner or operator of a turbomachine, such as a gas turbine engine, may wish to extend a service interval for the turbomachine. A framework is disclosed that enables automation of various aspects of the review process, including the generation of a risk assessment for the service interval extension. Data, including equipment data, may be aggregated from a plurality of different data silos. A physics-based model may be applied to the equipment data to calculate a remaining useful life of the equipment, which may then be used to generate the risk assessment. In addition, the framework may facilitate multiple levels of evaluation of the risk assessment to increase confidence in a final approval or denial of the service interval extension.