The cyber talent shortage is a prime example of where RPA can serve as a force multiplier, taking over repetitive, rules-based processes that require little coding and that can be deployed with minimal staff training benefiting the governments. Employees, then have more availability to take on higher-level tasks supporting the government agency’s mission.
While RPA is a good fit for repetitive, rules-bound processes, it cannot be deployed for tasks that require even limited decision-making. This restricts the range of its applications. AI-enhanced RPA opens the door to some of those use cases. AI goes one step further. For a given workflows in governments, AI provides cognitive automation — imitating how a person thinks and learns. It can make decisions on its own. For example, when coupled with computer vision technology, AI can read unstructured data, such as a handwritten invoice, and decide how to respond and process it.
