Mission planning and execution is at the core of all space missions in order to efficiently employ high cost space assets such as astronauts, equipment, vehicles and communication links. Since anomaly resolution is essential to executing both plans and procedures, our technologies will have applications across many NASA programs, from Mission Control to on-board NASA vehicles and outposts. Because this development will have been done in concert with MCC flight controllers, we believe its use will resonate with program managers in the mission operations directorate. We expect applications of our technology to impact ISS operations by streamlining and reducing errors in anomaly resolution, but also a variety of research programs, such as the new Mission Control Technologies (MCT) software being developed by Alan Crocker of NASA JSC DS. Our work will provide a connection to automated planning technology development ongoing at NASA Ames in support of automation for operations. We will work closely with Dr. Jeremy Frank at NASA ARC during Phase 1 to ensure our relevance to those projects. The number of robotic entities becoming available for military operations is increasing dramatically and their capabilities are evolving at a rapid pace. Rather than being used as scarce, specialized resources, these entities will be relied upon to play an integral role on the future battlefield. As the military begins to move from teleoperations to semi-autonomous and autonomous operations, it will be plagued with the same anomaly resolution problems as NASA. Our technology will again serve as a unifying framework to streamline and reduce errors in problem resolution related to integrated human and robotic systems. A mirror of NASA space operations are operations in refineries, chemical plants, nuclear and other power plants and any installation that has established standard operating procedures that must be carefully followed under often stressful situations. As these industries move to electronic procedures tied to system telemetry and integrated with planning for more efficient and safe operations, they will require our anomaly resolution framework to streamline and reduce errors in problem resolution.