{"id":15432,"date":"2021-05-31T22:11:33","date_gmt":"2021-05-31T16:41:33","guid":{"rendered":"https:\/\/cigniti.com\/blog\/?p=15432"},"modified":"2021-05-31T23:05:18","modified_gmt":"2021-05-31T17:35:18","slug":"digital-transformation-hyperautomation","status":"publish","type":"post","link":"https:\/\/www.cigniti.com\/blog\/digital-transformation-hyperautomation\/","title":{"rendered":"Drive digital transformation with hyperautomation"},"content":{"rendered":"

By harnessing the power of multiple technologies such as Robotic Process Automation (RPA), Artificial Intelligence (AI), Machine Learning (ML), low-code application platforms (LCAP), Natural Language Processing (NLP), and virtual assistants, hyperautomation has extended the confines of legacy business process automation.<\/p>\n

It is poignant beyond automating just the functional and strategic requirements of an enterprise and concentrating on more cohesive and tactical needs of the enterprise.<\/p>\n

Hyperautomation was one of the top 10 strategic technology trends and it inevitably determines business processes and generates bots to automate them.<\/p>\n

According to a new forecast from Gartner, Inc<\/em><\/strong>, \u201cThe worldwide market for technology that enables hyperautomation will reach $596.6 billion in 2022, this is up from $481.6 billion in 2020 and a projected $532.4 billion this year.<\/em><\/strong>\u201d<\/p>\n

Hyperautomation works in harmony with all these emergent technologies to automate complex business processes, including where subject matter experts were once required.<\/p>\n

While RPA has proved to be the most viable means for automating mundane tasks, it proved futile working on unstructured data which encompass more than 75% of the enterprise data.<\/p>\n

This is when the urge to move beyond RPA transpired.<\/p>\n

Moving beyond RPA<\/h2>\n

Efficacious digital transformation requires enduring tactical thinking. Comprehending the complete advantages of digitalization efforts necessitates more than simply transforming manual processes into digital methods.<\/p>\n

By depending merely on RPA, enterprise architects and technology innovation leaders are averting full, end-to-end process automation.<\/p>\n

To thrive with digitalization efforts, it is recommended to plan a lasting calculated roadmap by positioning business goals, recognizing methods to enhance and picking complementary technologies.<\/p>\n

However, IT leaders often focus on immediate solutions of monotonous process automation with RPA but selecting the correct technology that brings enterprise-wide automation is challenging.<\/p>\n

While RPA may deliver swift respite as a noninvasive form of integration, the processes are not constantly simple, monotonous, tedious, and steady.<\/p>\n

The processes may be enduring and often include intelligent automated decision-making and optimization.<\/p>\n

One tool or siloed tactics cannot unravel the actual challenge to scale beyond the mundane processes.<\/p>\n

Per Gartner<\/em><\/strong>, \u201cHyperautomation refers to an effective combination of complementary sets of tools that can integrate functional and process silos to automate and augment business processes.<\/em><\/strong>\u201d<\/p>\n

While it is certain that hyperautomation is a key enabler towards digital initiatives, what does it take to implement it effectively?<\/p>\n

Key strategies for enabling hyperautomation towards digital transformation<\/h2>\n

Some of the key strategies to enable hyperautomation starts with planning your process automation journey followed by applying Digital Ops toolbox and augmenting with AI.<\/p>\n

The Digital Ops technology toolbox comprises document ingestion, process mining, decision modelling, analytics, ML, User Experience\/Customer Experience (UX\/CX), intelligent Business Process Management Suite (iBPMS), and Integration Platform as a Service (iPaaS).<\/p>\n

To plan the automation journey, it is imperative to lay a roadmap for hyperautomation that includes defining the desired outcome by optimizing the process and assembling Digital Ops tools with others.<\/p>\n

A goal for the digital transformation journey must be set by business leaders and should be aligned to 3 key objectives \u2013 Long-term value, Operational Cost Reductions, and Risks.<\/p>\n

Enhancing the business processes may be engrossed in rightsizing and improving the procedure of decision intelligence with standardized and structured data inputs.<\/p>\n

Recognize the Digital Ops tools that are meticulously associated with your automation roadmap. Evaluate diverse technology markets and generate a liberal asset strategy to efficiently deliver strategic and calculated business principles.<\/p>\n

While concurrent hyperautomation initiatives are a key enabler to drive digital transformation, it is imperative to look at some of the common challenges in the post pandemic era that transpire to ensure a smooth implementation and meet customer expectations.<\/p>\n

Challenges of hyperautomation in the current scenario<\/h2>\n

Intelligent automation challenges ascend in the need to swap repetitive processes and provision business revenue.<\/p>\n

Some of the common challenges enterprises face while embarking on the hyperautomation journey include \u2013<\/p>\n