Hyperautomation

Process mining and discovery tools provide teams with a window into all of their automation opportunities. Log-based process mining delivers information to identify potential bottlenecks in workflow and deviations between not only human-machine interaction, but also data. With all the valuable information these platforms provide in a brief amount of time, teams can begin identifying the right business processes to automate, when to enhance, and when to reengineer. In addition to this, process mining and discovery applications also bring the capability of dynamically creating automation scripts, i.e., the ability to automate the automations.

MIL partners with organizations offering process mining and discovery technologies, both stand-alone and integrations in leading Robotic Process Automation (RPA) platforms, leveraging event logs from enterprise systems and applications, recorded user interactions, and Artificial Intelligence (AI) / Machine Learning (ML) analytics that equip organizations with the tools to identify new opportunities for automation and optimization.

Structured data is comprised of clearly defined data types with patterns that make them easily searchable, whereas unstructured data can be thought of as everything else. Government’s unstructured data lakes deepen daily; experts estimate that 80 percent of any organization’s data is unstructured. The intake, organizing, and tracking of this data is a growing challenge. Smart data capture applications work through a combination of optical character recognition (OCR) and Machine Learning (ML) to extract the required data points from semi-structured and unstructured sources.

MIL’s partnerships with the leading smart capture service providers allows for the intake and automation of processes that work with semi-structured or differently structured form types—such as processing invoices from hundreds of vendors– all with their own format.

The advancements in intelligent character recognition (ICR), a subset of OCR, now allows even handwritten documents to increasingly be successfully processed. This ICR functionality also greatly increases the scope of what is possible with automation.

Like a conductor keeping band members on different instruments playing together by using the same sheet music, intelligent orchestration ensures that advanced technologies such as Artificial Intelligence (AI) and Robotic Process Automation (RPA) coordinate successfully. Through intelligent orchestration, MIL helps customers manage how automation system components are deployed, implemented, and integrated for peak interaction and function.

The deployment and management of digital workforces with features such as end-to-end visibility for robots, real-time data, and ability to schedule and scale robots with ease become increasingly important as the intelligent automation market matures. The ability to have a human-in-the-loop to supervise bot actions or perform cognitive steps has also been added to the leading RPA platforms. Although there are benefits to both unattended and attended automations, unattended solutions give teams the highest ROI in the shortest amount of time.

While MIL recognizes the potential of attended automation for mundane, repetitive processes being performed manually— a successful and impactful intelligent automation program requires utilizing the different orchestration/control room technologies of the leading RPA platforms as a cornerstone to success.

MIL recognizes the success of any intelligent automation program relies on the ability to track automation data, manage pipeline and delivery, and facilitate real-time reporting to program leadership. The integration of Artificial Intelligence (AI) / Machine Learning (ML) technologies into business intelligence applications provide additional functionality such as forecasting business outcomes and generating recommendations– providing leadership with the insight required to maximize value and ROI.

MIL can help you navigate the path by providing the insight necessary (based on your organization’s unique needs) to implement the right business intelligence applications from both the leading Robotic Process Automation (RPA) platforms and stand-alone applications, which can be integrated into automations to measure impact and success.

Natural language processing (NLP) technologies such as speech-to-text, natural language understanding (NLU), and natural language generation are also being used as part of government intelligent automation efforts. Both citizens and government employees have a growing expectation to be able to access government services via the channel of their choice. These channels include conversational applications, including virtual customer assistants (VCAs), virtual personal assistants (VPAs), and chatbots.

MIL has identified several use cases where NLP can be leveraged with Robotic Process Automation (RPA) to enhance customer and client support, improving the citizen experience while reducing cost to deliver reliable services. This is accomplished by leveraging RPA’s capability of interacting with backend applications through the user interface, something VCAs and VPAs cannot do.

At MIL, we are not limited to RPA and Artificial Intelligence (AI) when it comes to intelligent automation. Depending on your needs, we also have the ability to enhance data analytics and automate business workflows through tools such as Power BI Dashboards and Power Automate Flows. We have been able to effectively implement data visualization techniques such as Dashboards across multiple clients.