Robotic Process Automation (RPA)
Robotic Process Automation (RPA) uses software that automates the execution of a number of repeatable tasks in the form of bots that may be implemented in an attended or unattended manner. The technology has the ability to transform organizations by automating many of the manual and tedious work done today by humans. This not only provides speed in execution but also reduces the risk of errors occurring due to manual approaches.
RPA also implements artificial intelligence technology to further your organization’s capabilities with advanced processing. This is an emerging technology that requires specific expertise in process modeling, application development, and experience with RPA software such as UIPath, Microsoft Flow or Blue Prism.
Client Real World Challenges
Data that is not integrated across disparate systems must be used to generate actionable intelligence in support of mission operations.
Resources trained in mission critical analysis are limited.
Man hours are consumed by repetitive tasks performed by skilled workers, reducing the amount of time that is spent on analysis tasks.
Dignari solution
Dignari has embraced RPA as a transformational tool for organizations. Our team is actively working with our clients to identify, define, and implement bots for attended and unattended operations. Our RPA developers use tools such as UiPath and Microsoft Flow to build custom automation processes meeting our client’s needs and monitor performance to identify opportunities for further process improvement. Our team also assists business owners in quantifying the savings and output increases if RPA is implemented.
Our team is currently utilizing RPA to mimic an analyst by scraping biographical information, conducting searches on multiple databases, and performing basic data entry operations. The bot modifies its search parameters based on the biographical information it finds and applies logic to search results to determine an individual’s status or if additional searches are required.
Outcome for the customer
Increased output of mission critical analysis and generation of actionable intelligence
Better resource allocation of mission skillsets
Decreased manual data entry errors
