March 13, 2025 | 4 min read

3 signs your business needs Task Mining to streamline processes

While the world is constantly evolving, the need for continuous improvement remains unchanged. This is particularly true for business processes, which naturally adapt over time but still require ongoing optimization.

To achieve meaningful business process improvement, it’s not enough to automate or eliminate friction-prone tasks just because they seem inefficient. First, businesses need a data-driven approach to uncover hidden inefficiencies – this is where Task Mining comes into play.

In the article we explain how to unveil operational inefficiencies and how Task Mining can help you get rid of them.

Let’s unfold 3 indicators that your business processes have friction.

Signs your business processes need improvement

Lack of visibility

One of the biggest challenges in business processes is their volume and complexity. When dealing with big data, the high volume makes it difficult to identify friction areas and unnecessary repetitive tasks. Manual process analytics further complicates the issue, as data can appear unstructured and complicated, and even inaccurate due to human factors. Consequently, the representation of ‘as-is’ processes may be incomplete, preventing companies from making informed decisions on business automation.

Lost time that goes unnoticed

Inefficiencies in task execution can trigger a chain reaction, wasting thousands of working hours and leading to operational inefficiency. However, identifying the root cause, let alone solving it, requires a comprehensive, data-driven approach.

Imagine invoice handling, for example. This process involves numerous time-consuming data-related tasks. Excessive manual work, such as data validation and matching, makes it impossible to pinpoint friction points and accurately measure time spent efficiently versus wasted.

Rising operational costs

Labor-intensive routine manual tasks not only drain employees’ time but also have a direct impact on the financial state of companies. It’s especially critical in business areas where efficiency of task execution significantly affects profitability.

Consider Accounts Payable (AP) processes. AP specialists ensure timely payments and optimal Days Payable Outstanding management. But due to different factors like long approval times or human errors, payments can be delayed and that will eventually lead to missed opportunities (e.g. missed cash discounts).

To solve these challenges, businesses need detailed, data-driven analytics provided by Task Mining.

How Task Mining solves operational issues at the task-level

Maximum process transparency

When a company seeks full visibility into business processes, Task Mining provides the solution. First, Task Mining Clients collect user interaction data. Then, just within 15 minutes, Task Mining tools extract business tasks and analyze them with 100% accuracy. The technology identifies the most frequent manual tasks and prioritizes them for automation, maximizing economic benefits.

By understanding how the work is actually getting done in your company, you can drive operational excellence. For example, in a mass recruitment optimization case, Task Mining provided insights into the recruitment process, helping HR team accelerate the workflows through targeted task-level improvement.

Optimizing time for peak efficiency

Once task visibility is established, companies gain access to detailed analytical reports on task execution details. In the reports, you’ll see a backlog of the most repetitive tasks with assigned employees and the exact time they spent doing the tasks. Thanks to intelligent algorithms, the data on task execution is accurate and objective, ensuring the highest task automation calculations are precise and bring tangible economic benefits.

Let’s imagine how exactly it works in invoice processing. The process involves a high volume of data processing tasks, making it hard to identify inefficiencies without objective, professional assessment. Task Mining provides a solution which allows to free up working hours for high-value initiatives. In a recent invoice processing optimization case, we identified the most frequent time-consuming tasks, helping an SSC optimize them, ultimately saving more than 200,000 working hours.

Saved time translates into economic profits

Among the many advantages of Task Mining, one of the most measurable is profit growth. Excessive routine manual tasks slow down processes and increase operational costs. Task Mining prevents it from happening by illuminating friction-prone areas and sorting out the most repetitive manual tasks with the highest automation potential. If you get tasks ranked by automation potential, you’ll understand which automation initiatives to prioritize to make the greatest economic benefits.

A clear example of economic impact from Task Mining deployment can be seen in an Operavix SSC customer service optimization case. The SSC lacked task-level process visibility, which didn’t allow them to calculate labor costs accurately. Thanks to Task Mining they reconstructed task sequences, illuminated those needing automation. As a result, the SSC managed to achieve significant cost savings and additional profits through task-level improvement.

Operational inefficiencies often signal that it’s time to improve business processes at a deep level. To pinpoint exactly where friction areas are, Task Mining steps in. With advanced process analytics, you can unlock hidden automation potential at the task level and make substantial economic benefits.

Want to find optimization potential in your business processes?

Explore how Task Mining can reveal inefficiencies and streamline business processes. Check out Customer page to find more success stories of business optimization with Operavix.