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From Traditional Automation To Hyperautomation

From Traditional Automation To Hyperautomation

Ed Macosky, Head of Product at Boomi, leading provider of cloud-based integration platform as a service (iPaaS).

Automation is changing the world. Automation technology such as robotic process automation (RPA) creates operational efficiencies, speeds up business processes and enables data-driven decision making. It improves productivity and speeds time to market—creating a major competitive differentiation for organizations undergoing digital transformation initiatives.

In many cases, automation of some sort is important for businesses to thrive and grow. The decision to choose between traditional automation or hyperautomation—fully autonomous business processes that identify patterns through artificial intelligence (AI) and machine learning (ML)—depends on a business’s individual needs as they evolve and adapt to change at the speed and scale of today’s operations.

Traditional Automation ost automations today use triggers to launch a subsequent event: “If this happens, then execute this command,” for example. These triggers can streamline tasks such as handing off paperwork, provisioning a server or ordering more inventory after a sale. This type of automation works well in most office settings.

Traditional automation is here to stay and has many other benefits; it can streamline workflows and enhance an organization’s operational processes. It can help with the employee onboarding process and even help with employee retention. Automating repetitive tasks can free up an employee’s daily activities, allowing them to focus on more business-essential tasks, which in and of itself can lead to improved productivity. It can also minimize manual errors and faults and reduce the cost of operations.

HyperautomationUsing AI and ML, the practice of hyperautomation identifies patterns to create automations that can evolve and adapt on the fly. From resolving user interface (UI) issues in real time to gaining real-time awareness of dangerous situations, hyperautomation has blossomed into a $600 billion market—allowing innovative companies to quickly develop and push dynamic code that leads to real business outcomes faster.

Let’s say that a business leader gets numerous emails daily asking for approvals on purchases. The first email comes through, and they respond with, “Yes, I approve,” and the purchase is approved. Another email hits the business leader’s inbox, and the response is the same, approving another purchase. This communication can go on and is an example of traditional automation.

With intelligent automation, those same emails can be grouped to say something like, “Here are 10 deals that all look the same because of this reason. Do you want to approve them all?” or, “We recommend you reject these based on these attributes you’ve historically rejected in the past.” Instead of manually clicking on all 10 emails and writing 10 responses, it’s done with one—saving tons of time in the long run. This example can be applied to many different business processes.

Enabling True Business AgilityAutomation can enable operational efficiencies and works wonders in a traditional office setting. It can make processes more efficient, reduce the costs of operation and minimize errors—all big wins for the organization.

While traditional automation works well for simpler tasks, the practice of hyperautomation goes beyond basic trigger-based automations, using AI/ML to evolve and adapt automations in concert as things are updated. Ultimately, the decision to hyperautomate or use more traditional means of automation comes down to a company’s specific needs and resources available.


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