Machine learning and artificial intelligence greatly increased the efficiency of businesses by automating various back-end processes. Using tools such as data capture and bots allows a larger volume of data to be extracted and verified to reduce the turnaround time. By utilizing a set of rules, it allows a more uniform and consistent set of data to be extracted. While these modern technologies such as RPA have been shown to increase efficiency, there are often variables that are overlooked which can easily lower accuracy and quality.
What Are the Main Challenges of RPA?
The key component to a successful RPA implementation utilizes a framework that incorporates a blended solution of technology and human intervention.
In a previous blog post, we talk about how businesses use RPA services to boost operations. While robotic process automation allows repetitious tasks to be streamlined, this technology is not quite perfect by itself. For certain types of jobs such as invoice processing, there are certain exceptions that can only be handled through manual means in order to find and validate the reason for an exception and ensure accuracy. The impact of poor data quality can have both long-term and short-term issues that impact your ROI. Inaccuracy lowers credibility, increases risk, and failure of compliance management which negatively impacts the credibility of your business.
One example is OCR technology – while it can greatly increase the efficiency of data extraction certain variables can limit the quality of this process. When the image of a document is too light or faded, it becomes difficult for the machine to decipher certain parts of the text. Handwritten text which is commonly found in surveys, lead forms, and warranty cards require some human intervention in order to extract certain data fields such as a name or email address. While converting into a searchable document, certain parts may be skipped because it is unable to decipher certain parts of the document. As a result, when the document is run through data capture technology it is only able to deliver a partial extraction requiring you to complete it through manual intervention.
Take Advantage of ARDEM’s Blended Approach
ARDEM implements a blended approach that utilizes both manual and automated means of processing to ensure the best accuracy and quality of work. Using a check and balances system, ARDEM uses an intersection of technology and bright minds to ensure the highest quality and accuracy. With a large talent pool of highly skilled staff, we utilize both their strengths and deep industry knowledge to create the best team to efficiently streamline your current process.
Our highly skilled process engineers will develop highly customizable bots that are easy to implement and utilize. RPA bots are able to work continuously in real time with low maintenance making them a great strategic tool for repetitive and labor-intensive processes. In addition, ARDEM implements a multi-step quality assurance routine that combines both programmatic and manual intervention in order to eliminate errors before data is delivered.
Find out more on how ARDEM can help implement successful RPA through a blended approach!