Our daily lives have transformed thanks to intelligent automation. The lethal combination of leveraging human workforces with digital workers to get enhanced performance and reduced costs with the help of Robotic Process Automation (RPA) is slowly becoming the norm.

Fact check:

According to a Deloitte survey of more than 520 organizations – more than 90% of respondents see immense value in pursuing intelligent automation. 

Still, some organizations have yet to move in intelligent automation programs.

While it is heartening to see the growth in the usage of intelligent automation, when it comes to comparing with the total population, few organizations are maximizing the benefits of RPA (Robotic Process Automation) at scale. 

So, why are so many organizations doing so well when it comes to scaling intelligent automation across organizations while many are struggling? This is a strategy you can form to improve how your organizations work. Successful, intelligent automation needs updated data, revised operations, and business processes.

Here are six key controls that can help you unlock the barriers to scaling intelligent automation. Organizations that use these keys will help you build a business process, realign with the company vision, and create holistic growth.

1. Mindset

Automation or intelligent automation has proven to carry the potential to ensure business growth. The key here is the mindset. Customer success leaders and executives need to create the right mindset to scale enterprise intelligent automation. Having an automation-first mindset can help create a hybrid plan for achieving outcomes. This mindset can be developed if leaders in customer success help employees experiment with new technologies, grow options, explore boundaries, and take risks. You can automate tools if you have executive support. Driving mindset shift will help take on the problem from the grass-roots level and ensure that engagement is a continuous effort.

2. Objectives

You can establish intelligent automation processes to scale it. You need to have a clear goals and objectives plan. The goals and objectives can be known when you have answers to a few questions-

• What are your goals for robotic process automation?
• How to measure progress?
• How will we maximize the output?
• How will these goals help scale our process?

Realigning the goals with RPA will help generate maximum output.

3. Value

To unlock intelligent automation at scale, companies must know where and how value will come from. This will help make the right investments, spend time and prioritize automation. It is known that RPA is growing, but it is still new. This can cloud how the employees and executives view it. They may not see the value it generates beyond the existing set of processes.

If organizations do not experiment and automate the new or old process, the scaling does not happen and there is stagnation. This limits value from enterprise intelligent automation. To get the maximum value, companies need to look at intelligent automation programs in an end-to-end view.

4. Ownership

The key for any company with scaling intelligent automation is by taking ownership. To effectively scale your intelligent automation program, you need to do more than have an employee-led approach. Companies must align their goals with roles and responsibilities in their enterprise automation. Some of the important questions include:

• Who or which employee or team will be responsible for ensuring scaling happens in a way to meet its goals?
• How will the company manage the intelligent processes?
• How will the workforce be managed?

5. Readiness

In these scaling operations, finding the right talent is the real issue. Organizations need the people, processes, and technology to enable high scale automation. This can mean hiring the right folks who are ready to try new technologies and have the readiness to learn. Closing this gap can lead to slower results and a time gap before one sees the return on investment. Automation helps scale organizations and unlocks business value. However, the key is the right talent with unique skillsets and the ability to experiment. This needs to be aligned with company goals and services.

6. Momentum

Scaling an automation program requires significant momentum. You need to treat the program carefully to understand how new technologies work. This means you need to use the key of momentum here. You need to understand the true value of intelligent automation for enterprises and scale accordingly. This may require large-scale process changes and transformation.

To create this momentum, you need to consider all the keys mentioned above-

• Develop the right mindset across levels in the organization
• Have a set of ambitious goals and objectives
• Hire rightly and source a unique talent pool
• Understand the value and position of the automation tool
• Make rapid progress by leveraging the right tools
•  Having the right mindset across the organization

Sometimes, the momentum might not occur. In that case, you must not force it. You need to pause, reconsider options, rediscover, and establish a new program and plan.

Closing Thoughts

To achieve the objective of driving intelligent automation beyond the trial phase and unlock the true potential of RPA, you must look across the enterprise. The world’s top companies have considered an effective change management strategy to unlock growth with intelligent automation.

You also need to maintain a common stance across all teams- digital, technology, marketing, and product to get the best benefits of outcomes at scale. COVID-19 has made intelligent automation a priority with remote teams and speedy delivery. While implementing new technologies, organizations tend to run in silos which can negatively impact growth and success.

Scaling intelligent automation takes a lot of work. As you can see from the write-up, a lot of arduous work goes into scaling intelligent automation across organizations.  The ideal process would be to bring in executive buy-in, allocate funds, ensure team members are aware and on track, secure sponsorship, monitor program performance, and implement the technology.

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