#AI @Work: RPA and Hyper Automation
RPA is growing in popularity. Why? Because it can reduce costs. Business doesn’t have to change the underlying IT structure to bring in RPA. People don’t have to learn new tools. RPA doesn’t need to ask IT for support. RPA can break, however, when the underlying processes and/or application interfaces change. Scaling RPA across an enterprise usually requires integration. It requires centralized IT governance and management. RPA requires less expertise to use than API or low-code development. Simple bots record clicks and capture keystrokes. More sophisticated bots can read the back end of screens and create their own process and workflow. Some have integrated process mining applications that automatically map common enterprise flows. More sophisticated bots have AI incorporated. RPA can ensure that business operations and processes comply with regulations and standards. Bots digitize and standardize auditing processes and ultimately help workers to be more productive (IBM, 2021).
The future of RPA is blossoming. There is no question that RPA can be useful to organizations with different and sophisticated systems. RPA’s growth will be accelerated by hyper automation. Process and task mining will help to identify new ways to use RPA. AI will make it easier to use those automations. AI governance tools will help enterprises monitor RPA. Governance tools will manage the overall process of streamlining processes. The collective impact will save companies billions in the near future.
RPA that is scalable can be managed from a central control point rather than set up and scaled on each device. RPA can go fast, and the business can test, design and optimize new processes in a few hours. RPA is reliable if bots have built in monitoring and display the health of the system. Simple is also important to RPA success. The RPA product should be simple enough for employees in the business to build and use. Simple RPA can handle turning data into information and enable good decisions. Finally, the product should have intelligent capabilities. It should be scalable, reliable and manageable. Security credentials, privacy issues and compliance are essential capabilities. These depend on the industry. Ideally the bot should be able to justify itself by logging the usage. This gives you the ability to calculate ROI and estimated value.
Leadership will be responsible for determining if these tools are helping reach the business’s goals. The C-level executives who own the processes that RPA will automate need to all work together. This will assure an enterprise secure platform for operating RPA across systems.
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