Fact or Fallacy: RPA Can Boost Agencies Quickly and Inexpensively

Leading RPA providers follow DevSecOps best practices and have strict measures in place to ensure that bots act as they should without compromising security.

Misconception: Robotic process automation is expensive

As with any technology, there is a cost involved in implementing RPA. However, RPA is more cost effective when compared to advanced AI tools or more traditional options like outsourcing business processes and manual offshore processing. Legacy systems and existing applications can be automated with RPA, which does not 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 simplify software migration. According to a 2019 report by the National Association of State Chief Information Officers, RPA is useful for government customer service and can save agencies 40 to 70 percent on labor costs.

Misconception: Robotic process automation never makes mistakes

RPA actually makes mistakes when a bad task is given. The bad task gets automated because the tool lacks common sense. The work generated by bots should continue to be monitored by people. It is important for agencies to have failover in place along with RPA.

Some tools with process mining capabilities can be used to provide instant monitoring and alerts regarding the results of some tasks so that errors can be detected earlier. This saves resources as anyone who monitors the bots doesn’t have to constantly manually review every output.

Misconception: The automation of robotic processes will soon be obsolete

Why implement RPA when you can jump straight to the AI? This could be the thought process for those who view RPA as a technology that will one day be out of date. Instead, investing in AI / ML seems like a smarter option.

However, moving 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, this data must be cleaned, standardized and error-free. RPA is a key mechanism that defines these processes for the adoption of AI / ML and facilitates the transition.

Fact: Government needs robotic process automation

There are various lower priced RPA solutions available to suit public sector needs. For example, IBM Robotic Process Automation with Automation Anywhere has two versions.

The economical Express version is designed for smaller RPA deployments with multiple bots, while the more expensive Enterprise version integrates process automation with workflow management, real-time decision-making and data collection functions for larger deployments. This enables agencies of all sizes to deploy RPA solutions quickly and effectively.

There’s no denying that any agency where employees perform high-volume, high-transaction functions needs RPA. RPA enables agencies to fulfill government mandates by completing routine compliance tasks faster and more accurately.

May 19, 2021