Innovative Robotic Process Automation Technology for Superior Results

As mentioned in our earlier blog posts, the benefits and ROI of RPA are highly dependent on the technology that is used during the evaluation, development, implementation (rollout) and maintenance of the process.

The implementation process for RPA generally follows three stages: identifying the processes that are suitable for automation; mapping the candidate processes to understand what is happening and when; and configuring the RPA software to carry out the mapped processes. Generally, the first two stages are primarily ‘business analyst’ roles, whilst the third is carried out by ‘RPA developers’.

In many cases where possible actions are determined by predefined rules, RPA alone can mimic human activity in a non-intrusive way and can handle structured and semi-structured data. That makes the behavior of the robot ‘deterministic’. However, when infused with AI capabilities, machine learning can give robots the chance to figure out how to process and furthermore enhance tasks in a ‘probabilistic’ way. Therefore, the robot can imitate human action through machine vision, speech recognition, and pattern identification capacities allowing it to deal with organized, semi-organized, and even unstructured data. This is an example of how AI can expand the possibilities of RPA and broaden its significance.

 

Combining and Connecting Technologies (RPA + AI)

If you think about RPA as the new business model for companies, you might be shocked to discover the potential of combining Robotic Process Automation and Artificial Intelligence.

What we’re putting on the table is to not only automate manual and repetitive tasks, but to provide intelligent robots that can make decisions beyond simple actions.

Imagine that you have 2 different inputs, invoices and contracts. They both come via email, but you want to assign different automations depending on the type of input. You can easily do it, you just need 2 different workflows. The interesting thing comes when you consider how you’ll identify the type of input. That’s where AI comes in since it allows the robot to differentiate between these types of input by itself. Amazing, isn’t it?

Still eager to know more about how to get superior results using RPA? Keep an eye on the Roboyo blog as we will be posting more technical strategies to get the most out of RPA.

 

Tags: Artificial intelligence, developer, intelligent automation, RPA