Task Mining – Process Improvement Techniques

Task Mining: The Future of AI

Automation plays and will continue to play, a significant part in today’s enterprises, and it is utilized to boost efficiency and productivity. Organizations have been able to obtain remarkable ROI with RPA (Robotic Process Automation). Now imagine the ROI when you integrate automation with Artificial Intelligence (AI) and Machine Learning (ML) – the results are even more impressive. However, the future of businesses and their development rely largely on the identification and analysis of other possible automation like task mining.

How to properly identify the potential for automation.

To provide a better understanding of this new field, Task Mining operates by gathering images and records of users’ activity from the employee’s desktop (mouse clicks, keystrokes, etc.). Then it analyses data using a machine learning model and constructs a list of processes with high automation potential.

Therefore, benefits are waiting just around the corner by providing high levels of visibility.

Clients may use Task Mining to track the actions of a group of users, evaluate them collectively, and then publish the results in a variety of dashboards. As a result, employers and supervisors can gather valuable information regarding frequently repeated processes and identify automation opportunities. In fact, it is an occasional challenge for businesses to pinpoint the processes they necessitate to automate – task mining is a tool that fights this issue. By analyzing and standardizing the process path, companies can easily detect and agree on the business processes that alarm optimization.

Then, in which industries and levels within the organization can task mining be adopted to secure an advantage?

The good news is that Task mining is adaptive and flexible as it contributes highly to various departments. To begin with, task mining assists business executives in the efficient discovery of high-potential automation possibilities, as discussed above. In addition, business analysts can use task mining to avoid time-consuming obligations such as identifying repetitive procedures with high automation potential by observing work activities. Business analysts may use dashboards to examine and evaluate the metrics of discovered automation processes.

On more low levels the organization can enhance the AI tool to a great advantage. Employees may set up and start documenting actions using Task Mining services in a matter of minutes, with minimal disruption to their usual work. It also helps to protect their privacy by eliminating the need for human interaction in task recording. As for RPA developers, Task mining assists in decreasing the time spent learning the process before beginning to design automation by auto-generating PDDs (Process Design Documents) of recognized automation potential.

Use cases have already been applied in a number of professional areas – healthcare and pharmacy, retail and e-commerce, BFSI, telecommunication, HR, IT, finance, manufacturing, BPO, and advertising.

Companies may utilize Task Mining across any domain. They may find repetitive, rule-based, and high-frequency operations conducted by employees that can be recorded via desktop actions. Invoice categorization, reconciliation, monitoring, and reporting are just a few instances of such duties. Aiming to boost operational excellence, assist process violation alerts, and reduce process gaps, Task Mining can complement Process Mining to analyze the complete business structure and provide insightful information.

There is a high demand for Task Mining Services driven by AI, and several prominent RPA providers have released their versions. Task Mining Services such as UiPath’s Task Mining Service use AI to enable considerable automation discovery. Examine each option to find which one best meets your needs.

Contact DigiTech Consult for any further information and consultation to begin your automation journey.