IA combines AI and RPA, leading to increased efficiency in a business. RPA has its value through automating processes that once needed manual attention. IA takes information from different sources, filtering it through different products and tools to make the interaction more valuable. RPA and AI by themselves are incredibly valuable in many different ways but combining the two results in increased efficiency in the interactions and processes between applications.
IA improvements include:
Increased productivity: By automating different processes and applications, they are able to run faster compared to someone doing them manually. Automation leads businesses toward improved productivity and accuracy in their planning because multiple sources of data are being gathered to help business predictions and decision-making. A good example of this would be a business creating bots that automate the production of weekly website traffic reports.
Lower costs: Larger organizations that have begun implementing IA are achieving an average of 27% reduction in their costs. While RPA and AI work together to process information from the more mundane tasks, real employees are able to focus on more important things while money is saved on the faster IA processes.
Improved accuracy: IA means that real employees will spend less time on mundane tasks, resulting in better decision-making and accuracy in these areas. Automating mundane tasks can erase any errors that real employees may make while going through a manual data entry process, resulting in improved accuracy for various kinds of reports.
Improved customer experience: IA can help organizations better understand their customers’ needs, improve any product they may bring to the market, and help them communicate more efficiently with their customers. The result of this is an improved customer experience, leaving the customer feeling satisfied.