Of all the digital transformations taking over the enterprises, none is more effective than complete automation. More and more company executives are realizing that automation is the answer to many emerging challenges. A fully automated enterprise is the end game for companies that seek drastic growth. As technology evolved, the expectations of customers have also increased exponentially. In order to address the emerging challenges and reach customer fulfilment, companies are embracing fully automated solutions.
Automation has proven to be different from artificial intelligence (AI). Even though it is difficult to separate AI and automation from each other, doing so will bring in a lot of positive impacts. Automation has existed within the enterprise for a long time. However, people came to know about the importance of implementing a fully automated enterprise recently. The main difference between a fully automated business and a traditional enterprise is the way they approach automation. A fully automated enterprise thinks 'automation first.' Automation has made its way into enterprises through simple tasks like copy and paste text, or mirroring a database. Since these simple jobs were unpredictably time-consuming, automated solutions popped to make a shift. What we call fully automated enterprise goes beyond the initial stages of automation. Modern automation is designed in a way that it needs minimum human labour and maximum machine works. Acumen Research and Consulting estimates that the fully automated solution will top US$3.8 billion by 2026 with a CAGR of 13.2% during the forecast period.
A fully automated enterprise is a company that leverages automation wherever it makes the most sense. It contradicts the traditional enterprises plan to implement automation without a clear plan by critically thinking before transforming the business. Companies embrace automation to deliver better service at lower cost. Automation forms the connective conduit for systems, software, and application, enabling companies to work smoothly together. In an automated environment, personal robots step in to take on repetitive tasks, saving human energy for intellectual performance. Artificial intelligence and machine learning are pivotal tools used for decision making, analysis and interactions in an automate enterprise.
There are three consigned places where fully automated enterprise wave makes an impact. They are performance, ROI and competitiveness of a company. According to a Capgemini report, 20% of the top-performing companies that embraced automation are performing more than the bottom 20%. Remarkably, fully automated enterprises reap significant ROI.
Assigning robots for back-office work
A major goal that enterprises are trying to achieve is the complete automation of back-office tasks. This simple work involves repetitive rules-based routines like collecting and entering data, processing transactions, reconciling records, and more. Even though these back-office tasks are time-consuming and tedious to people, they are considerably perfect for robots. A fully automated enterprise has robots that can perform quickly, accurately and continuously. According to a McKinsey report, around 2.6 trillion hours of work per year are automatable in the US alone.
Creating citizen developers
Unlike other industries, business needs a pushing source to adopt automation. For example, Covid-19 pandemic is one of the sudden catastrophes that brought light to automation. Enterprises that were functioning on traditional means wanted a substitute that could minimise human intervention. Henceforth, they took fully automated solutions to address the issue. Every company has long tail automation opportunities, but initially, they are too small for development teams. Primarily, people engaging in automation process are also very less. To tackle the talent scarcity, enterprises are working on democratising automation which makes citizen developers a big concept. An advanced fully automated enterprise leverages low-cost tools and training, making anyone willing a citizen developer with minimum training.
Deploying automated incident management mechanism
Automation can meet high expectations for incident and change management. It can deliver the stability that process needs as well as the speed that new business drivers demand. Automating an enterprise incident management involves step-by-step tasks like establishing a clear dependency mapping, proactively identifying service issues, automating incident response and resolution, and measuring impacts and tunes.
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