At What Point Does Hyperautomation End? It Doesn’t

Founder & CEO at Ephesoft. Passionate tech innovator, speaker and obsessed with hyperautomation and providing IDP solutions to customers.

We’ve hit four-wheel overdrive when it comes to intelligent enterprise automation spearheading its way across the enterprise. Even in rough and competitive terrain, technology continues to push barriers, accelerate processes and venture into uncharted territory. Hyperautomation is the approach many businesses are immersing themselves in to break away from the pack by automating everything that can be automated to drive operational efficiencies, innovation and growth while meeting customer and employee expectations.

According to MarketWatch, the hyperautomation market is expected to reach $319.9 billion by 2027 and is anticipated to grow more than 9% over the forecast period until 2027. Hyperautomation is not a trend—it is here to stay. I think we all agree that there will always be a quest for improved and faster technology.

Research shows that over 50% of CEOs seek growth as their top business priority, according to a recent Gartner report. As a result of this objective, hyperautomation projects are being tackled throughout the enterprise as individual departments are aiming to streamline efficiency and grow profits. In fact, over 56% of organizations had an average for four or more—sometimes even more than 10—automation projects going simultaneously.

The Need For Adaptive Governance

The abundance and fast-tracking of hyperautomation initiatives will not deliver the expected growth without adaptive governance around operations, data and AI. As Gartner explains, “Adaptive governance is the organizational capability that determines the right governance styles and mechanisms that will deliver required business outcomes in a given context.” Let’s explore these three factors, which will keep hyperautomation flourishing.

With multiple IT and automation projects in tandem, it can be difficult for one team to manage. The rise in low-code/no-code applications makes it even easier for business users to automate the smaller tasks themselves. To avoid hyperautomation sprawl with a growing tech stack and siloed automation tools, governance is critical to achieving growth. Taking a high-level approach over the entire operations, including how multiple automation solutions need to work together, will minimize the risk and failure of ROI. Establishing a structure to ensure operational agility and resilience will help guide every automation project and bolster revenue.

Data is the modern equivalent of “gold” with its ability to garner intelligent insights—when it is treated and protected properly. Data is the key foundational unit to any hyperautomation project, as it is the currency that feeds any application.

But with roughly2.5 quintillion bytes of data created daily around the world, accessing it and putting it to use is only possible if the data is in a structured, searchable format. Regulations mandate companies know what data they have, which poses a threat with the rise in hyperautomation.

With technologies like intelligent document processing (IDP), as well as using AI, machine learning and other hyperautomation tools, enterprises can mitigate risks and become data compliant while feeding the right data to the right automation tools.