The year is 2021. There’s been an overnight shift to digital operations, but the pressure to stay competitive, eliminating bottlenecks, and ensuring stability still remain as business priorities.
Companies have to bear the brunt of the pandemic-induced crisis; something has found its sweet spot in their core operations, Hyperautomation, says Arjun Devadas, SVP of professional services & operations at Vuram.
The new normal has augmented the need for adopting hyperautomation across industries. For starters, hyperautomation could be seen as an evolution of traditional automation. With a toolkit comprising artificial intelligence (AI), robotic process automation (RPA), machine learning (ML), hyperautomation automates the end-to-end business processes, augmenting the manual efforts to achieve tasks faster, efficiently, and with fewer errors.
Diving deep on hyperautomation
Automation vs Hyperautomation
Let’s take an example of a monotonous process, invoice generation. In this case, a bot can be used to issue scheduled invoices at specific times, extract invoice data and record the information in an accounts payable system; all these steps constitute only a small percentage among hundreds of other associated tasks.
But in an hyperautomation model, you can automate every task of the invoice process right from defining the flow (through BPM), optimising and prioritising (workflow), compliance review (machine learning), apply decision making principles for automating the task of finance teams (AI), and more.
Hyperautomation goes beyond saving money and resources
When employees work in tandem with this technology, it can bring to the organisations the benefits of:
Team collaboration: Hyperautomation enables every RPA tester, subject matter expert, business analyst and business user across all the departments to have access and visibility to data. They can connect seamlessly to automate processes with various levels of complexity.
Employee satisfaction: As hyperautomation offloads your workforce from low-value, routine tasks and empowers them to use intelligent tools and contribute to digital transformation, they are prone to be satisfied. This further enhances their capabilities, building in an innovative environment.
Advanced analytics and insights: Businesses generate abundant data which may not be utilised well. Analytics capabilities that come with an hyperautomation approach help measure the impact of automation, draw insights, and even make predictions for future outcomes.
Better customer experience: Since your teams are left with more time to directly connect with your customers, communicate effectively and even proactively, it reduces the process cycle time and customer onboarding time.
How do low code and hyperautomation go hand-in-hand?
Digital transformation doesn’t just end with mere automation of tasks or the replacement of legacy systems. It also drives efficiency and builds operational quality. This can be achieved through a low-code platform.
Before the evolution of low code, IT was always a bottleneck due to the amount of time taken for each solution to be developed and the shortage of IT staff. Low-code has changed the way we work to create an app. With faster speed-to-market, drag and drop widgets, prebuilt libraries and components, it has brought in the influx of citizen developers or non-professional programmers into businesses.
This has dramatically reduced the dependency on IT teams. By combining low code with the hyperautomation technologies like BPM, RPA, AI, ML, businesses can automate end-to-end processes in less time with little to no coding.
While hyperautomation helps in optimising the business processes, enterprise low code accelerates the digitisation journey reducing the time to maintain, upgrade and enhance the implemented technologies. As they say, it takes two to tango. Both the markets are experiencing rapid growth. In fact, according to Grand View Research, the low-code market is estimated to reach $86.92 billion (€74.02 billion)by 2027.
Is your organisation ripe for hyperautomation?
Organisations that still rely on excessive routine tasks, like sending emails, and rely on tools that may use digital components with disconnected workflows.
Your technologies are marooned on separate islands. Only some processes are automated. This is where hyperautomation comes into play. A blend of basic automation and intelligent automation, integrating the existing automation tools, complementing human workers as their digital counterparts, and helping them work more intelligently using AI, ML, NLP, Process Mining, etc., becomes reality.
No visibility into operational data
Do you have abundant data but lacking insights? The analytics and AI capabilities bundled into hyperautomation can help derive rich insights to improve the processes and forecast outcomes.
The future of hyperautomation looks promising. Before embarking on the journey, organisations must plan their automation strategy and business outcomes, identify the processes to be optimised, and invest in the right technologies. Hyperautomation will have a snowball effect, meaning the more the companies become successful, the chances are more they will execute it. In years down the lane, machines as coworkers will no more be a fantasy, but reality.
The author is Arjun Devadas, SVP of professional services & operations at Vuram.
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