Within a rapidly changing technological landscape, organizations are increasingly turning to hyper automation to optimize their operations and accelerate digital transformation. This blog explores how low-code and no-code automation platforms are revolutionizing the way businesses approach process automation. 

Understanding Hyper Automation 

Hyper automation represents the convergence of multiple technologies. It includes

  • Artificial intelligence 
  • Machine learning 
  • Robotic process automation 
  • Process mining 
  • No-code/low-code automation tools

The primary objective is to automate tasks and processes across an organization with minimal manual intervention. 

To illustrate this concept, consider a smart home. Here, lights automatically activate upon entry, thermostats adjust to desired temperatures, and coffee machines begin brewing at wake-up time. In the business world, this translates to scenarios like online retail. Here, hyper automation manages inventory tracking, payment processing, confirmation emails, and shipping updates seamlessly. 

Also Read: How to Explain Software Testing Automation at the Holiday Table 

Growing demand for Hyper Automation 

A critical factor driving hyper automation adoption is the limited availability of developer talent. It is combined with increasing demands for digital transformation. Organizations face pressure to accelerate time-to-market. Additionally, they deal with resource constraints, making scalable automation with low code solutions increasingly attractive. 

Real-world impact: The cost of software failures 

The importance of effective automation is highlighted by several notable incidents: 

  • Tesla’s 2021 recall of 135,000 vehicles due to touchscreen failures 
  • HSBC’s 2015 incident where 275,000 payments were delayed 
  • Amazon UK’s pricing glitch that sold thousands of items for 1 penny

These cases demonstrate why robust testing and automation are crucial, with software failures costing industries approximately $2.5 billion annually. 

Evolution of software testing automation 

The journey of test automation has evolved significantly: 

  • 1980s: Manual testing with basic macros 
  • 1990s-2000s: Introduction of bulky automation tools 
  • 2000-2010: Streamlined approaches with faster release cycles 
  • 2010-2018: DevOps and continuous integration/testing 
  • Present: AI-driven autonomous testing and machine learning integration

Debunking common myths about Hyper Automation 

Myth 1: Hyper Automation replaces human jobs 

Reality: Rather than replacing humans, hyper automation enhances human capabilities. By automating repetitive tasks, it allows employees to focus on strategic and creative work. 

Myth 2: It is only for large enterprises 

Reality: Hyper automation is scalable. It is available for organizations of all sizes, from small businesses to large corporations. 

Myth 3: Implementation is too complex 

Reality: Modern hyper automation platforms feature user-friendly interfaces with low-code/no-code capabilities, making implementation accessible to users with varying technical expertise. 

Myth 4: It solves all business problems 

Reality: While powerful, hyper automation isn’t a universal solution. It requires strategic implementation in areas where it can deliver the most value. 

Myth 5: It is too expensive 

Reality: Though initial investments may be substantial, the long-term ROI through efficiency gains and error reduction typically justifies the cost. 

Category Low-Code Platforms No-Code Platforms 
Coding requirements Minimal technical knowledge required Zero coding required 
Features Drag-and-drop interfaces, custom coding allowed Pre-defined processes and workflows 
Ideal for Developers needing flexibility Business users 
Examples Tricentis Tosca, Eggplant Microsoft Power Automate, Leapwork 

Key benefits of Hyper automation with low-code/no-code

  • Accelerated time to market 
  • Reduced development costs 
  • Enhanced agility 
  • Simplified maintenance 
  • Improved user experience 
  • Greater security 
  • Increased process efficiency
Important steps for automation implementation 
Step Details 
1. Identify automation scope – Evaluate business criticality 
– Assess technical feasibility 
– Determine business priorities 
2. Select appropriate tools – Consider technology requirements 
– Evaluate vendor capabilities 
– Assess integration needs 
3. Design automation strategy – Focus on reusability 
– Plan for maintenance 
– Define ROI metrics 
4. Configure test environment – Address prerequisites 
– Manage data dependencies 
– Ensure environment stability 
5. Execute automation – Implement continuous testing 
– Monitor performance 
– Track metrics 
6. Report and analyze – Generate comprehensive reports 
– Analyze results 
– Make data-driven decisions 

Advanced capabilities in modern automation tools 

Modern automation tools incorporate AI-driven self-healing features that can- 

  • Automatically detect UI changes 
  • Adapt to object modifications 
  • Continue execution despite minor changes 
  • Report modifications post-execution 
  • Reduce maintenance effort

Example of Hyper Automation in healthcare 

Hyper automation in healthcare is revolutionizing operational efficiency by automating complex, multi-step processes. For example, it enables automated processing of pharmacy claims, significantly reducing manual intervention and errors. It handles multi-format documents, including handwritten notes, scanned images, and digital files, ensuring seamless data integration.  

AI-powered tools can read and validate receipts with precision, while automated approval workflows based on predetermined criteria streamline decision-making. Additionally, integrated notification systems keep stakeholders informed in real time, fostering better communication and faster resolutions. This comprehensive approach optimizes healthcare operations and enhances overall service delivery. 

Enterprise integration solutions 

Various automation accelerators and solutions are available for: 

  • Oracle systems 
  • SAP implementations 
  • Workday platforms 
  • Custom AI-based solutions like QualiGen for test case generation

The future of hyper automation is moving towards: 

  • Enhanced Generative AI integration 
  • Autonomous testing capabilities 
  • Collaborative smart testing 
  • Increased efficiency across life cycles 
  • Copilot-like capabilities for automation development

Conclusion 

Hyper automation through low-code and no-code platforms represents the future of enterprise efficiency. By joining artificial intelligence and automated workflows, organizations can achieve unprecedented levels of productivity. The key to success lies in choosing the right tools. And implementing them strategically to meet specific business objectives. 

Ready to revolutionize your business operations? Embrace hyper automation and unlock unparalleled efficiency with low-code and no-code platforms. Whether you are aiming to accelerate digital transformation or reduce costs, the time to act is now.  

Explore the tools and strategies that can propel your enterprise into the future. Contact us to start your AI-driven Hyper automation journey today!  

Sriram Sitaraman Hyperautomation blog

Meet the Author – Sriram Sitaraman

With over 23 years of experience in IT, Sriram Sitaraman is an industry leader in automation consulting and solution development. At Qualitest, he leads transformative strategies in intelligent automation and quality engineering, enabling clients to navigate digital transformation with confidence.

Sriram’s expertise spans both commercial and open-source technologies, and he has successfully led large-scale automation engagements and established Automation Centers of Excellence globally. His innovative solutions have consistently delivered cost optimization, efficiency gains, and accelerated application releases.

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