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How SAP Intelligent RPA helps start the Hyperautomation Journey across Industries?

According to Gartner1, Hyperautomation deals with the application of advanced technologies, including artificial intelligence (AI) and machine learning (ML), to increasingly automate processes and augment humans.

Figure 1 Path to Hyperautomation2

 

To achieve process excellence and augment human intelligence, businesses must embark on the journey of Hyperautomation whereby businesses can not only automate processes but also enter a virtuous cycle of self-healing, self-learning, and self-working business processes. This virtuous cycle helps create Autonomous Business Processes; business processes that run on its own and keep improving with each execution cycle to an extent possible without human intervention.

Figure 2 Virtuous cycle of process excellence

 

With native integrations to a broad set of tools required to achieve Hyperautomation such as Intelligent Business Process Management, Analytics, and Artificial Intelligence Business Services; SAP Intelligent RPA offers the right start to the Hyperautomation journey for any business across any industry with the automation of business processes. Businesses can build intelligent bots with machine learning and conversational AI for executing processes to help employees focus on high-value planning and strategic tasks.

Using SAP Intelligent RPA, businesses can bring automation to all processes including industry-specific processes, procure-to-pay, hire-to-retire, lead-to-cash, record-to-report, plan-to-production, and idea-to-market processes. Let us look at some hyperautomation example use cases across different industries:

Figure 3 SAP Intelligent RPA caters to all industries across six broad categories

 

Consumer

One of the processes specific to Consumer business is the Trade Promotions process. In a crowded and competitive omnichannel marketplace, businesses need to ensure that their trade promotion plan is accurate to predict and fast to respond with the right promotions.

Let us get a little deeper into this scenario and see how SAP Intelligent RPA can help build bots that carry out tasks intelligently to help start hyperautomation of trade promotions process.

Figure 4 Trade Promotions Automation

 

Other use case examples relevant for Consumer businesses are:

Discrete

Discrete industries (industry known to be in first love with robotics) are in a unique position with the rapid adoption of the Industry 4.0 framework. With a combination of hyperautomation and industry 4.0, businesses will move towards an ideal situation of producing a lot size of one (1) at a scale and serving customers with new business models.

Let’s see an example of IoT automation working with RPA automation to create an autonomous product maintenance process:

Figure 5 Product maintenance automation

 

Other use case examples relevant to Discrete industry businesses are:

Financial Services

Financial services are always at receiving end with rising avenues of digital fraud, businesses must look at hyperautomation to further enhance the fraud detection process. With SAP Intelligent RPA, machine learning, and SAP Analytics Cloud, start a hyperautomation journey in financial services businesses.

Figure 6 Fraud detection automation

 

Other use case examples relevant for Financial Services businesses are:

Energy and Natural Resources

The breadth of Energy and Natural Resources industries makes it unique in the sense that it has the flavor of many industries within one category e.g. Discrete (production), Financial Services (trading), Consumer (Retail), Services (Distribution) and Public Services (State-owned); yet the industry has its specific processes.

One such scenario is energy (or commodity) trading and accounting. SAP Intelligent RPA can help build bots that carry out tasks intelligently to help start hyperautomation of the energy trading process.

Figure 7 Energy trading automation

 

Other use case examples relevant for Energy and Natural Resources businesses are:

Public Services

Businesses in the Public Services category from hospitals to the public sector are in general considered late adopters of technology and being users of legacy applications and systems makes them an ideal candidate for using emerging technologies to start a journey towards hyperautomation.

Let’s take an example of application processing in higher education institutes which receives thousands of applications throughout enrollment season. Here, bots along with SAP Cloud Platform Workflow and SAP AI Business Services can handle the complete process autonomously with little human intervention.

Figure 8 Admission process automation

 

Other use case examples relevant for Public Services industry are:

Services

With ever-demanding consumers, the services industry must innovate to meet the higher speed, perfect accuracy, and superb performance expectations across businesses from entertainment (anytime anywhere content) to logistics (same hour delivery). Hyperautomation with SAP Intelligent RPA brings to table much-required agility with accuracy (zero errors) which is ever sought by the Services industry.

One of the processes that can be automated to help cut down delivery time is checking of shipment pricing and shipment booking to meet both the delivery timeline and profitability.

Figure 9 Shipment scheduling automation

 

Other use case examples relevant for Services businesses are:

What next?

Of course, there may be many processes ripe for hyperautomation in your business and now you may be having lot of ideas and thoughts around hyperautomation. Just that some of you are not overwhelmed; SAP Intelligent RPA has further simplified this with free pre-built best practice bots. You can choose the bots which suits your industry, tailor them as per your business needs, and see the value in days. What are you waiting for? Start your Hyperautomation journey now.

 

References:

  1. https://www.gartner.com/smarterwithgartner/gartner-top-10-strategic-technology-trends-for-2020/
  2. https://www.pcmag.com/news/gartners-top-10-strategic-technology-trends-for-2020
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