The challenge with legacy systems in a system of system architecture is that many interfaces between elements are designed for human interaction and decision making. Redesigning and redeploying systems with new interfaces to automate decision and communication processes can be extremely cost and schedule prohibitive if it is even possible due to legacy systems.

How It Works

JRC’s Robotic Process Automation (RPA) platforms can implement decision systems utilizing Artificial Intelligence (AI) and remove the human-in-the-loop. JRC has built an RPA platform utilizing open-source platforms. The underlying technologies of RPA, artificial intelligence, and machine learning have a long history of development and have been deployed successfully to solve many other problems. RPA processes can automate the communications and call the appropriate decision system that utilizes a trained neural network for identification and Bayesian probability calculation.

Hours Saved:
120 hours per week

Accuracy maintained:
99%

Reducing complications of job by:
75%

 

Utilizing our expertise in System Engineering processes for Systems of Systems (SoS), as defined by the Systems Engineering Guide for Systems of Systems, Office of the Deputy Under Secretary of Defense for Acquisition and Technology, Systems and Software Engineering (ODUSD(A&T)SSE), we have the ability to implement RPA architecture for an operational SoS. We would be able to create an operational simulation using MBSE to demonstrate the success of this technology.

Real World Application with Security in Mind

JRC has developed our RPA platform to automate our own financial and ERP systems. This has reduced our overhead costs as we work to execute more efficiently for our government partners. The program has already been profitable for JRC’s own use. Since our platform has been built using open-source technologies, it is able to be closely inspected for cybersecurity vulnerabilities as opposed to other closed-source, proprietary platforms. Also, due to this early JRC investment in this technology, this is a cost-effective approach for JRC to receive a higher return on investment. Robotic Process Automation (RPA) has a $1.5 billion global market in 2020 and is expected to continue to grow. More organizations will continue to fund RPA development because of the continued cost reductions of automating human decision making and lower level tasks.

Further development of our RPA platform will occur because of the high return on investment. JRC is uniquely positioned among RPA developers because of our extensive experience in both the strategic deterrence and missile defense communities.

 

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