Digital Transformation, Robotic Process Automation, AI and ML are terms you would have come across frequently if you are from the technology space.
Humongous effort and resources are spent on digital transformation.
What does this mean for you and your organization?
It has become an IT industry fad to compare the number of bots their contenders have deployed.
Is digital transformation success just a measure of the number of BOTs, Analytical dashboards or Chatbots with NLP or digital assistance?
Are you considered to be digitally transformed if you have these checked off your list?
It is very important to plan your digital transformation journey according to your organization’s mission statement.
Set a goal defining your targets, RPA should be used as a tool to speed up the journey to your goal. Let’s see how RPA will help your organization’s goal.
Your organization’s mission statement could be customer-centric, to provide customer satisfaction, value adds or exceeding expectations.
The questions to be pondered upon are
Let’s get one thing clear. RPA cannot fix an existing broken process, so it is very crucial to optimize the existing process to be more mature and rigid.
An optimized process is the outcome of a waste eliminated process.
If you are embarking on an RPA journey with an inefficient process, you are automating the inefficiencies as well.
The outcome of the automated process may not reap benefits as expected. Even RPA might be a failure, as the process inefficiency consumes the benefit of the RPA outcome.
To begin with; a Pre RPA exercise is mandatory with all the stakeholders such as business owners, process owners, application owners.
It is not necessary to involve IT at this stage, as this exercise is more business-driven and not IT-driven.
IT involvement is needed during feasibility and infrastructure support stages. Any of the Process improvement techniques can be used, such as six sigma, lean, lean six sigma.
This helps in identifying process defects, gaps, underutilized resources, so on and so forth. The foremost priority would be to fix these defect opportunities.
There are multiple advanced techniques for process mining. Process mining helps in
It is not advisable to deviate too much from the goal of RPA and get into the extensive and cost-intensive process improvement exercises, instead try to adopt a technique on a high level to cater to the current goal.
It’s not always a rule of the thumb that 100% of the process needs to be automated, this does not mean the End-to-end process needs to be considered resulting in automation of tasks.
If even 70% of the automation of the overall throughput is going to reap business benefits and considerable ROI, then RPA can be piloted while the business owners align rest of the throughput to be aligned to the optimized path.
Choosing the right
Once a leaner and mature process is chosen for RPA, few other factors are to be considered for production fit RPA process.
While the RPA journey has successfully kicked off, keep in mind a few points for a successful implementation.
Once the digital workers are deployed, stick to a few rules to keep the RPA ball rolling.
Measuring your KPI is no big deal, revisiting the metrics at regular intervals and aligning them to the organizational goal decides the success of your RPA journey.
The brighter perspective about RPA is that when exploited to its fullest, it makes life much easier.
RPA helps organizations to cut down the cost, improve productivity and enhance quality. Keep in mind. Before you make any big changes, you have to do your homework and understand the process. Before setting up the RPA, your organization’s business process needs to be optimized.
By Uma Raj
By Uma Raj
By Abishek Balakumar