With the new era of the Army Futures Command, the Army is in the midst of a substantial modernization effort. To meet this challenge at the basic research level, modernized experimentation technologies can be developed that increase the discovery rate of superior performing materials and systems. In the future, scientific discovery will be accelerated through autonomous, artificial intelligence driven workflows utilizing high-throughput experimentation. Discussed is an example of a high-throughput experimental workflow that has recently been demonstrated at the U.S. Combat Capabilities Development Command – Army Research Laboratory (CCDC-ARL) to accelerate armor ceramic development. An industrial manufacturing partner provided high-volume, combinatorial processing of hundreds of armor ceramic specimens over a range of processing and ingredient combinations. CCDC-ARL developed a crucial technology to automate the non-destructive microstructure characterization of the samples by measuring their electrical properties, as well as developed an efficient, data driven ballistic testing method. Material informatics algorithms then determined the key processing parameters which resulted in superior performing microstructures. Validation testing showed that this workflow can be used to reduce armor variability and raise the protection level. Since these discoveries are obtained on a production-level industrial process, the material is ready to be manufactured in high volumes for immediate use. In addition, these technologies are being transitioned to further improve ceramic armor R&D on novel ceramic systems, provide insights into successful microstructure designs and failure mechanisms, and utilized as a tool for quality control of production runs to minimize performance variability. This model shows how high-throughput experimentation and data driven testing can yield immediate and compelling products from a research effort.