Over the past years, automation technologies have evolved dramatically, ushering in an era where integrated tools are not just improving efficiency but fundamentally transforming client experiences. This integration isn’t happening by accident—it requires careful orchestration to ensure these technologies work together seamlessly.

When automation falls short

Consider a common banking scenario: You visit a bank’s website to open an account and interact with a chatbot. After some back-and-forth, the chatbot directs you to download a PDF form. You print it, fill it out by hand, take a photo, and email it back. Eventually, your form reaches a shared mailbox where Robotic Process Automation (RPA) technology routes it to the corresponding team.

This process works, but it’s disjointed and places unnecessary burden on you, the customer.

Reimagining the experience

Now imagine this instead: The chatbot not only helps you understand what you need, but immediately initiates your account creation in the core banking system and sends you a PDF with an electronic signature option. After you’ve signed digitally, the bank promptly confirms your new account with a contract. This streamlined approach leverages technology more comprehensively—this is Hyper Automation in action.

The “hyper” in Hyper Automation means exactly what you’d expect—automation that goes “above and beyond” conventional boundaries, much like terms such as “hypersensitive” or “hyperspace.”

The technology ecosystem

Behind this enhanced experience lies a complex technological ecosystem: natural language processing in the chatbot, RPA handling account creation, and potentially a low-code application orchestrating tasks across multiple systems. But technology alone isn’t enough—successful implementation requires deep understanding of the entire process from data capture to account opening and compliance checks. After all, you can’t effectively automate what you don’t fully understand.

Not all process steps are created equal. Some might differentiate your service from competitors, while others add little value and could be outsourced. Following Gartner’s approach, processes can be categorized as:

  • Enduring (core processes that rarely change)
  • Adaptable (processes that evolve with business needs)
  • Disposable (temporary processes that serve immediate needs)

Each category demands a different automation strategy.

The essential components

At its core, HyperAutomation requires three key elements:

  1. Deep process knowledge: Understanding not just what happens, but why and how it creates value
  2. Strategic technology selection: Choosing the right tools for each aspect of your process, from RPA for data movement to case management systems for non-structured work
  3. Integrated intelligence: Ensuring that AI and analytics solutions can communicate effectively with other components

The most effective HyperAutomation ecosystems blend these elements into a cohesive whole, creating experiences that feel natural and efficient rather than technological and fragmented.

In our next post, we’ll explore practical steps to begin your Hyper Automation journey, helping you move from concept to implementation.

Sources

  1. Software AG – Business process automation for increased productivity
  2. Forbes – How to Start Your Hyper Automation Journey
  3. Wonderbotz – The automation journey – a guide to hyper Automation
  4. DTskill AI – The 4 Steps of Hyper Automation
  5. Gartner – Pace-layered Application Strategy

An Article by Johan De Cree, Senior Manager Insurance At Dynafin Consulting

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