Don’t assume that your automation tool uses AI. Look under the hood to determine if your solution is capable of decision-making and self-learning.
Let’s start with a simple point: Automation and Artificial Intelligence (AI) are related technologies but not synonymous. You can program software to do something automatically without that software using any intelligence whatsoever. Take an online purchase, for example: An e-commerce site registers a purchase and triggers an email marketing tool to send you an order confirmation. That’s a neat and efficient process thanks to automation, but it isn’t AI. The email marketing software didn’t use contextual understanding, intent recognition, business process memory, Natural Language Processing, or any of the other AI-based features that signify machine intelligence. When it comes to Robotic Process Automation (RPA) you’ll want a solution that’s capable of true AI, not solely a pre-programmed bot capable of performing only the most basic tasks, in order to achieve the greatest possible value.
Almost every RPA vendor claims its solution is powered by AI. However, very few actually use machine intelligence to execute and repeat business tasks. Most RPA tools use code to replicate basic processes, substituting information A for information B in clearly-defined data fields. That’s not an example of AI-driven, dynamic intelligence at work. What happens when data fields aren’t clearly defined? What happens when information is input incorrectly? In those cases, basic RPA fails and human labor is required to step in and solve the problem.
Conversely, IPsoft’s 1RPA leverages built-in cognitive AI to enable software to solve problems using its own judgement and decision-making skills. 1RPA combines AI and our digital colleague Amelia, with her Natural Language Interface, to simplify automation and bot creation.
By working with Amelia, 1RPA users can build and run automations using basic chat- or voice-based commands. The platform’s object-based screen recording is so intuitive that even someone with basic skills can build automations. You can verbally ask Amelia to begin recording a process and she’ll capture what’s happening on your screen. You can tell her to save the recording and just like that, you’ve created a bot.
Natural Language Skills
Amelia is impressive, but when combined with 1RPA’s bots, RPA reaches another level of innovation. Our bots can read web pages, emails, programs, or any unstructured text you put in front of them. They organize data as required by a business process and deliver the correct placements for an automation. This happens on-the-fly with no need for you to limit automations to structured formats.
This means you do not need to assign a task to human labor if someone enters their name in an email address field. You won’t need a human to parse the text in an email message into a standard format and apply that information to a data field. 1RPA finds the text it needs, puts it where it needs to be and runs an automation.
Why is AI in RPA So Crucial?
Think about how many mundane and repetitive tasks that your employees perform each day. Add them up for a total. Multiple the sum by 260 (the average number of work days in a year). Regardless of the size of your company, this number will be quite large.
With even the most basic RPA tool, you can transfer some of this labor to software, freeing your employees to handle more complex and important tasks. Unfortunately, if your RPA tool isn’t capable of reading unstructured data, or if it requires constant human oversight to fix data entry mistakes, you’re returning many of those workforce hours back to basic and mundane processes. Would you rather have your employees helping an RPA tool reset passwords all day, or would you rather let 1RPA reset the passwords while your employees create new revenue streams?
By choosing 1RPA, you’re allowing AI to handle the bulk of your busy work. By choosing other RPA tools, you’re settling for simple automation that lacks the intelligence to bring greater value to your business.