Leading RPA vendors follow DevSecOps best practices and have strong measures in place to ensure that bots act as they should without compromising security.
Fallacy: Robotic Process Automation Is Expensive
As with any technology, there are costs involved in implementing RPA. However, RPA is less costly compared with advanced AI tools or more traditional options, such as business process outsourcing and offshore manual processing. Legacy systems and existing applications can be automated with RPA, which doesn’t require a complete IT overhaul.
For most organizations, the long-term cost benefits outweigh the initial investment in RPA. Agencies can reduce training costs, free up IT resources and ease software migration. According to a 2019 National Association of State Chief Information Officers report, RPA is useful in government customer service and can save agencies 40 to 70 percent on labor costs.
Fallacy: Robotic Process Automation Never Makes Mistakes
RPA does indeed make mistakes if a bad task is put in place. The bad task will be automated since the tool lacks common sense. The work generated by bots should still be supervised by people. It’s important for agencies to have fail-safes in place along with RPA.
Some tools with process mining capabilities can be used to provide instant monitoring and alerts relating to the outcomes of some tasks, so mistakes can be caught sooner. This frees up resources, since whoever is supervising the bots doesn’t have to constantly look over each output manually.
Fallacy: Robotic Process Automation Will Soon Be Obsolete
Why implement RPA when you can jump straight to AI? That may be the thought process for those who see RPA as technology that will one day be antiquated. Investing in AI/ML instead may seem like a smarter option.
However, shifting manual workloads to AI is much more difficult than moving from RPA to AI. RPA is the gateway to AI for state, local and federal agencies.
Before agencies can successfully make decisions with large amounts of data, that data must be cleaned, standardized and free of errors. RPA is a key mechanism that establishes these processes for AI/ML adoption and makes the transition easier.
Fact: Government Needs Robotic Process Automation
There are several RPA solutions available with lower price points that meet public sector needs. IBM Robotic Process Automation with Automation Anywhere, for example, has two versions.
The economical Express version is designed for smaller RPA deployments that involve multiple bots, while the higher-priced Enterprise version integrates process automation with workflow management, real-time decision-making and data capture capabilities for larger deployments. So, agencies of any size can deploy RPA solutions quickly and effectively.
It’s undeniable that any agency where people perform high-volume, high-transaction functions needs RPA. With RPA, agencies can deliver on government mandates by completing routine compliance tasks faster and more accurately.