Gartner identified Hyperautomation as one of the top 10 strategic technology trends for two consecutive years – 2020 and 2021. According to them, hyperautomation is an extension of Robotic Process Automation (RPA) or an evolution, rather, adding Artificial Intelligence (AI) capabilities on top of the existing task and process automation.
What is Hyperautomation?
In short, it is when RPA met AI. Fun fact, some think ‘AI’ should stand for Automated, not Artificial Intelligence.
It is a relatively new concept, comprising the application of technologies like RPA, Natural Language Processing (NLP), Process Mining, and AI to augment knowledge workers and automate processes in ways that are significantly more impactful than traditional automation. Therefore, Hyperautomation will be how next-generation companies streamline business processes and save valuable resources like time and energy.
The role of AI
More and more organizations employ automation. It already provides consistent and significant savings. Also, automation is responsible for eliminating human errors, thus improving data quality and integrity. And last but not least, it positively effects employees’ job satisfaction and motivation.
Organizations’ next step in their digital transformation journey will be to holistically assess, optimize, and streamline their processes. Then they can augment the simple process automation with Machine Learning, NLP, and Process Mining. AI brings in more sophisticated capabilities to enhance the existing task automation, like discovery and analysis of business processes based on event logs, visualizing and measuring of impact, monitoring of performance, and providing real-time intelligence along the way.
Augmenting humans with automation is here to stay. It is clear that organizations need to focus on efficiency and agility to obtain or retain their competitive edge.
To summarize, I’ll quote Gartner’s research: “Hyperautomation is the idea that anything that can be automated in an organization should be automated.”
Visit Gartner’s website to see all trends for 2020 & 2021.
Our very first demo of our platform, Simply Flows, took place on 11/11/2020. Thank you to Devin Walsh and Reverb for organizing and hosting our presentation! It was a great opportunity to talk about the process automation space and to show our platform for the very first time.
Process automation has been around for some time now. It’s getting more and more accessible with the low- and no-code automation platforms, that make it possible for anyone to automate their workflows.
Consider employing RPA (Robotic Process Automation) whenever:
Well-defined, uniform tasks are performed frequently
Timing is critical
Data integrity is crucial
Why should we even consider process automation? Below are the key benefits:
Save time and energy. Do high-value work, instead of busy-work.
Save money. Resources allotted towards customer acquisition or customer care will help you grow and improve your business.
Manual data entry, copying and pasting information from one app to another introduces endless opportunities for human errors. Data integrity is way too important to be left to manual processing.
Boost creativity by reducing the mental overload. Let machines do what they were built for and do best – exactly, repetitive data processing tasks. Computers excel at it. We, humans, on the other hand, excel at creativity, innovation, and empathy – traits machines will hardly ever have.
Increase motivation and job satisfaction of knowledge workers, once unburdened.
A very important point is the strong Return on Investment (ROI). While each company will experience different numbers, the ROI has the potential to reach up to 200 percent in the first year of operation.
Watch the demo below to see how Simply Flows can help with documenting, visualizing, and automating your processes:
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Data from a study by Blissfully shows that small businesses use 40 SaaS apps on average. That number gets to 203 apps for companies with over 1,000 employees. Really, businesses use too many cloud apps nowadays. This is partly due to the IT decentralization. Departments, teams, and even individuals choose separate tools for their needs. The result is a variety of apps. And most of them are not connected with each other.
More apps – more inefficiencies
The bigger the number of apps, the more opportunities for inefficiencies. Each application has its own databases and workflows. Data must ‘move’ through different places to assist with decision-making and other business needs. Therefore employees get more and more trapped into manually and repeatedly transferring data between different applications. The cost is high. Also, a lot of energy is spent on busy work, instead of on high-value work.
Too many SaaS applications at a company could also mean silos of data. Since data is stored in the cloud apps’ databases, it easily becomes segmented. Even though some integrations between applications do exist, the reality is that apps rarely ‘talk’ with each other. Therefore, often times employees need to manually piece together data from different sources for their analytics needs. Silos of data hinder business analytics initiatives. Also, companies may miss valuable insights.
Best of breed
Teams and individuals opt for the ‘best of breed’ approach, rather than the ‘best of suite’. Indeed, this helps with flexibility and independence but it has its drawbacks when it comes to connectivity, integrations, and reporting.
As organizations continue adopting more and more cloud applications, the need of connecting their apps and moving data between them will steadily rise.
Find out how Simply Flows can help. We can make the data flow seamlessly between your cloud apps. That’s right, no more data silos and no more manual transfers of data between your applications.
Knowledge workers spend 40% of their day on manual, repetitive tasks like data entry and reporting. Half of them believe that is a poor use of their skills and getting in the way of doing their main job.