Organizations across the world are adopting RPA (Robotic Process Automation) into their projects widely as a part of digital transformation. However, 30% to 50% of initial RPA projects fail, according to an EY study, leaving risks and chaos in organizations. One of the major causes can be RPA’s mimicking-only focus. It requires an external decision to start and then leaves another system or a person to take the decisions afterward.
Automating a business process is more complex as it involves different operational decision-making and RPA is not capable of being a part of decision automation. It fails to make any optimized and situation-aware decisions.
In an organization, it does not matter whether a bot is making a decision or a human. In the end, the purpose should be making optimized and situation-aware decisions efficiently and accurately. As a result of not understanding this purpose, companies are not able to maximize the returns on investment in RPA in the first place and achieve business value.
Next Generation RPA: Optimized and Situation-aware Decisions by Robots
Fully automated decisions with robots may contain multiple steps. For instance, it may require connecting to a rule engine, or take inputs from analytics. We should be able to determine what is the optimized way of making decisions that will save time, cost, and energy.
The example below demonstrates how robots can help in making a decision on which technician is the best for a given task.
The list of technicians is stored in an Excel file. Once we receive customer data including the customer location, the best technician is selected according to the distance from the customer, rating, and experience level. Finally, using FlexRule's decision robotics, the results will be written to an Excel file.
The following image shows how a robot has become a part of the complete decision-making process.
If we take a closer look, once the list of technicians is created using a DRD, the whole business process automation completes by writing the list to an Excel file. There is no need for a human to manually create an Excel file and copy the results.
The Advantages of the Next Generation RPA – Decision Robotics
The following advantages of these robots can be highlighted.
- Mimics human actions as a part of the decision-making
Mimicking human behavior is different from scenarios where decisions are made by humans. Therefore, traditional RPA with doing human-computer interaction and mimicking their behaviour is not going to be enough to create long-term organization values. Therefore, next-gen RPA will need to have integrated decision-making techniques and technology.
- Easy to understand
Unlike RPA where the bot does a few tasks and then a human has to pick it up from where the bot left, robots know where it sits on the business automation process making it easier to understand. No requirement for integrating to other BPM or orchestration to make end-to-end business process automation.
- Easy to maintain when comes to decisioning
Since there is no scripting, and knowing the bot’s position in the decision-making process, it is easier to maintain. Imagine where bots can do underwriting, credit decisioning, risk assessments and etc.
Automating decisions is complex as it involves multiple steps. With the help of the new generation of robots (Next-Generation RPA), organizations can make optimized and situation-aware decisions efficiently and accurately without sticking to one technology, method, or person, unlike traditional RPA where it leaves you in the middle of the business process after completing some repetitive tasks. This is the way of involving robots with more business-oriented activities to make business decisions and be able to explain why the decision has been made.
Last updated November 24th, 2021 at 04:05 pm, Published December 3rd, 2020 at 04:05 pm