Are you familiar with the main RPA KPIs? In recent years, Robotic Process Automation (RPA) has become one of the key technological strategies for optimizing high-volume, repetitive tasks.
According to studies presented by GlobeNewswire, the global RPA market is expected to surpass $20 billion by 2030, driven by the increasing demand for intelligent automation across various sectors. In this context, companies are looking for robust RPA tools capable of meeting business demands.
Beyond selecting the right technology, to succeed with intelligent automation, it’s essential to define clear and objective KPIs. This way, businesses can efficiently assess the impact of automation on process performance.
In this article, we’ll explore what RPA KPIs are and which key indicators businesses should monitor. Want to learn more? Keep reading!
What are RPA KPIs and why are they important?
RPA KPIs, or Key Performance Indicators for Robotic Process Automation, are metrics used to evaluate the efficiency and impact of the automation applied to business tasks.
These KPIs help measure the performance of software robots, which execute repetitive, rule-based tasks. This allows businesses to monitor the success of automations and implement improvements when necessary.
In other words, RPA KPIs are crucial because they help identify areas for improvement in productivity and the Return on Investment (ROI) of automations. With this data, companies can assess whether their automations are effectively helping the business achieve its goals, such as cost reduction, increased efficiency, and improved quality.
Learn more: What is automation software and what are its benefits?
Main RPA KPIs
Here are the main RPA KPIs used to measure the success of automations:
Automated cycle time
Automated cycle time is used to measure the duration of a task from start to finish when executed by an RPA software bot.
With this KPI, it’s possible to identify the effectiveness of bots compared to the time it would take a human team to perform the same activity. In other words: the shorter the cycle time, the higher the efficiency of intelligent automation in that process.
Thus, automated cycle time is a useful RPA KPI for identifying improvement opportunities and adjusting processes to optimize the speed of automations.
Volume of automated tasks
The volume of automated tasks is an RPA KPI that represents the number of processes a bot executes within a given period.
This metric helps to understand the reach of intelligent automation within the company and identify which processes are being successfully executed by the robots.
Therefore, this volume indicates the impact of automations in terms of productivity. A high volume is a strong indicator that many repetitive processes have been automated and that the company’s workflow has improved.
Intelligent automation success rate
Another important KPI is the success rate of automation, which measures the number of tasks that robots successfully complete without interruptions or failures, compared to the total number of automated processes.
This KPI ensures that the bots are functioning as expected, without the need for interventions, bug fixes, or frequent solution implementations.
A high intelligent automation success rate indicates that the RPA software is well configured and the processes are well managed. Low success rates indicate that there are issues in the initial configurations or workflow stages.
Return on Investment (ROI)
ROI is an RPA KPI that measures the financial value a company obtains in comparison to the initial investment in implementing the intelligent automation platform. It’s important for assessing the feasibility and financial impact of the automations running in the company.
ROI calculation considers factors such as operational cost reduction, increased productivity, and fewer human errors. A high ROI confirms that intelligent automation is generating financial benefits that justify the initial investment.
To calculate ROI, many companies compare the operational costs of the business before and after implementing RPA. They also consider the increased efficiency of automated processes and the elimination of repetitive tasks that require human involvement.
Operational cost reduction
Operational cost reduction measures how much the company saves by replacing manual processes with RPA automations.
This KPI helps identify the direct financial impact of automations, showing how RPA reduces the need for human resources for repetitive tasks, which in turn lowers the chances of errors and minimizes the need for rework.
User satisfaction and customer experience
Last but not least, user satisfaction and customer experience are also RPA KPIs used to measure the success of automation. This KPI evaluates the impact of RPA on the customer experience and employees’ day-to-day routines.
In customer service, for example, intelligent process automation improves the speed and accuracy of responses, resulting in quicker responses. For employees, intelligent automation of repetitive tasks frees up time for more strategic activities.
How to monitor and optimize RPA KPIs?
To monitor these indicators, it is recommended to use specialized tools that allow you to view operational and productivity data in real-time.
For example, the BotCity RPA platform offers the BotCity Orchestrator, an orchestrator that centralizes bot control, making it easier to monitor KPIs such as cycle time, volume of automated tasks, and success rates.
In addition, with this solution, it is possible to supervise the robots, adjust priorities, set execution queues, and monitor Python logs of activities. BotCity also provides real-time alerts, which help the team react quickly in case of automation malfunctions, without impacting the KPIs.
Therefore, besides monitoring, optimizing RPA KPIs should involve regular meetings to review metrics and define strategies aligned with the company’s objectives. A robust approach to monitoring and optimizing RPA KPIs ensures automation effectiveness and contributes to better strategic decision-making.
Learn More: RPA Orchestration: why it’s important to orchestrate your automations?
Ready to use RPA KPIs?
As we’ve seen, monitoring RPA KPIs is an essential practice for businesses looking to maximize the value of their automations and ensure they are aligned with market changes and demands.
With the use of KPIs, it is possible to identify improvement points, optimize processes, and adjust strategies to enhance bot performance and return on investment.
Thus, adopting a complete and specialized RPA solution like BotCity can be a competitive advantage to keep these KPIs at high levels. The solution offers an intuitive platform to monitor, manage, and optimize automations continuously with the orchestrator.
So, how about starting to optimize your RPA KPIs right now? Create a free account on BotCity or, if you prefer, schedule a conversation with one of our specialists!
