--- title: "Hyperautomation: How to Transform Business Processes with Intelligent Automation" description: The relentless evolution of technology makes it possible to adopt a hyperautomation approach. Here’s what it is and how to get started. image: https://newsroom.kireygroup.com/hubfs/RPA_Developer_SoftwareDevelopment.webp --- [kireygroup.com](https://www.kireygroup.com/) [![](https://newsroom.kireygroup.com/hubfs/item-2020-dicembre/logo-Blog-v2.svg)](https://newsroom.kireygroup.com/en/news) - [Ita](https://newsroom.kireygroup.com/news/hyperautomation-come-trasformare-i-processi-aziendali-con-lautomazione-intelligente?hsLang=it) - Eng - [Esp](https://newsroom.kireygroup.com/es/news?hsLang=en) [Kireygroup.com](https://www.kireygroup.com/) # Get your daily dose of tech! ## We Shape Your Knowledge # [Legacy modernization in banking: discover the true cost of legacy systems](https://newsroom.kireygroup.com/en/news/legacy-modernization-in-banking-discover-the-true-cost-of-legacy-systems?hsLang=en) The banking sector is one of the world’s largest investors in digital transformation and innovation,... [Read more](https://newsroom.kireygroup.com/en/news/legacy-modernization-in-banking-discover-the-true-cost-of-legacy-systems?hsLang=en) 10 MIN READ 22 September 2026 ### Latest News - [Legacy modernization in banking: discover the true cost of legacy systems](https://newsroom.kireygroup.com/en/news/legacy-modernization-in-banking-discover-the-true-cost-of-legacy-systems?hsLang=en) - [Context Engineering, the art and science behind AI Agents](https://newsroom.kireygroup.com/en/news/context-engineering-the-art-and-science-behind-ai-agents?hsLang=en) - [Agentic AI Governance: how to effectively manage AI that can act](https://newsroom.kireygroup.com/en/news/agentic-ai-governance-how-to-effectively-manage-ai-that-can-act?hsLang=en) - [Autonomous SOC: reality, limitations, and prospects for AI-driven security](https://newsroom.kireygroup.com/en/news/autonomous-soc-reality-limitations-and-prospects-for-ai-driven-security?hsLang=en) - [Data Virtualization, the pillar of data-driven companies: what it is and how it works](https://newsroom.kireygroup.com/en/news/data-virtualization-the-pillar-of-data-driven-companies-what-it-is-and-how-it-works?hsLang=en) - [Cloud Economics: the goal is not to spend less, but to spend better](https://newsroom.kireygroup.com/en/news/cloud-economics-the-goal-is-not-to-spend-less-but-to-spend-better?hsLang=en) - [Automation](https://newsroom.kireygroup.com/en/news/tag/automation) / # Hyperautomation: How to Transform Business Processes with Intelligent Automation #### Kirey [![](https://newsroom.kireygroup.com/hubfs/it.svg)](https://newsroom.kireygroup.com/news/hyperautomation-come-trasformare-i-processi-aziendali-con-lautomazione-intelligente?hsLang=it)    [![](https://newsroom.kireygroup.com/hubfs/ES.svg)](https://newsroom.kireygroup.com/?hsLang=es) 8 MIN READ 13 December 2024 - Share on: - - - - [All](https://newsroom.kireygroup.com/news?hsLang=en) - Categories + - [Corporate](https://newsroom.kireygroup.com/en/news/tag/corporate) - [Cybersecurity](https://newsroom.kireygroup.com/en/news/tag/cybersecurity) - [Events/Webinars](https://newsroom.kireygroup.com/en/news/tag/events-webinars) - [Cloud](https://newsroom.kireygroup.com/en/news/tag/cloud) - [Data Value](https://newsroom.kireygroup.com/en/news/tag/data-value) - [Innovation](https://newsroom.kireygroup.com/en/news/tag/innovation) - [Artificial Intelligence](https://newsroom.kireygroup.com/en/news/tag/artificial-intelligence) - [Monitoring](https://newsroom.kireygroup.com/en/news/tag/monitoring) - [DevSecOps](https://newsroom.kireygroup.com/en/news/tag/devsecops) - [Software Development](https://newsroom.kireygroup.com/en/news/tag/software-development) - [Corporate Social Responsibility](https://newsroom.kireygroup.com/en/news/tag/corporate-social-responsibility) - [Data Privacy](https://newsroom.kireygroup.com/en/news/tag/data-privacy) - [Advisory](https://newsroom.kireygroup.com/en/news/tag/advisory) - [Accessibility](https://newsroom.kireygroup.com/en/news/tag/accessibility) - [Automation](https://newsroom.kireygroup.com/en/news/tag/automation) - [Digital Banking](https://newsroom.kireygroup.com/en/news/tag/digital-banking) - [Digital Industry](https://newsroom.kireygroup.com/en/news/tag/digital-industry) - [Use case](https://newsroom.kireygroup.com/en/news/tag/use-case) - [Welfare & Social Services](https://newsroom.kireygroup.com/en/news/tag/welfare-social-services) - [Press & PR](https://newsroom.kireygroup.com/en/news/tag/press) Digital transformation **naturally leads to automation**—not only for operational efficiency but also to optimize processes, reduce errors, and allow human resources to focus on less repetitive, routine tasks.  In recent years, thanks to extraordinary technological advancements, the concept of **hyperautomation** has emerged alongside traditional automation, establishing itself as a key trend in the enterprise world. Let’s explore what hyperautomation is and, more importantly, how to implement it in any organization successfully.  ## Traditional automation and Robotic Process Automation (RPA)  To understand hyperautomation, some context is needed. Automation is inherently part of digital transformation. Businesses have historically focused on **the most repetitive, rule-based, and (almost) immutable phases** of processes, regardless of their complexity. In other words, traditional automation is rule-based.  From a technological standpoint, for over a decade, IT departments have prioritized Robotic Process Automation (RPA). RPA **replicates human actions on systems and applications,** enabling companies to automate actions and processes across various systems (e.g., email, Excel, ERP, CRM) **without long and costly system integration projects**. However, RPA is limited to predictable and routine scenarios, of which many organizations still have an abundance.  ## Automation becomes smarter  In recent years, **the concept of intelligent automation** has gained traction. This evolution stems from advances in data science and artificial intelligence techniques (particularly Machine Learning), which give machines **decision-making capabilities beyond executing predefined rules.**  While professionals remain central to decision-making, **modern AI-based systems can influence decisions and even make autonomous ones**, albeit within parameters set by human expertise. A prime example is cybersecurity, where cutting-edge solutions provide professionals with probability scores for potential attacks, leaving final decisions to human judgment when in doubt.  Another example of intelligent automation involves managing international invoicing processes—especially for accounts payable. Since each country has its own rules, formats, and models, professionals often perform manual tasks like data extraction, compliance verification, and system input. Here, AI can automate information extraction from documents, recognize country-specific formats, and ensure compliance with local regulations. These tasks are **automated but typically supervised.**  ## Hyperautomation: approach, not technology  Gartner coined the term hyperautomation in this context, describing it as a *“business-driven approach that organizations use to rapidly identify, evaluate, and automate as many business and IT processes as possible.”*  Hyperautomation **is an approach, not a technology.** It highlights how technologies like machine learning, robotic process automation, integration platforms (iPaaS), intelligent business process management suites (iBPMS), and others can work together to “*rapidly and intelligently automate as many business processes as possible*.” Adding low-code or no-code tools further **democratizes hyperautomation, making it accessible** to small and medium-sized enterprises (SMEs).  Starting with larger, more structured organizations, hyperautomation has attracted significant investments, with the market **expected to grow at** [a compound annual growth rate of 16.5%](https://www.grandviewresearch.com/industry-analysis/hyperautomation-market-report) **through 2030.**  ## Five essential steps to start with hyperautomation  While the concept may seem straightforward, adopting hyperautomation in an organization is far from simple. It’s not a turnkey system but a mindset **requiring a solid strategic vision**. Companies must analyze existing processes, identify the most critical ones, redesign them, and develop tailored solutions leveraging the best technological tools—from RPA to AI—while integrating as-a-service platforms for greater efficiency and faster time-to-market.  **Given the rapid evolution of the technologies underpinning hyperautomation, dedicated expertise is essential.** Cross-functional teams should be involved, and hyperautomation must be integrated into the company’s strategy with a flexible IT architecture that can adapt to future needs and opportunities. Partnering with a specialist familiar with the client’s processes, competitive landscape, and regulatory environment—as well as the underlying technology ecosystem—**can make a significant difference.**  Here’s a five-phase roadmap to guide organizations in the effective and gradual implementation of this modern paradigm. This approach considers the complexity of processes and the organizational change brought by advanced automation.  ### **As-is process analysis**  The first step involves **thoroughly mapping business processes** to identify bottlenecks, inefficiencies, and highly repetitive tasks. Traditional workflow analysis methods and **advanced technologies like process mining** can be used to gain a detailed, often surprising, understanding of actual processes.  ### **Business Process Reengineering (BPR)**  Before implementing automation, **existing processes must be optimized**. Reengineering simplifies workflows and establishes a solid foundation for automation, avoiding **the automation of existing inefficiencies.**  ### **Hyperautomation solution development**  This phase involves designing and developing a tailored solution by leveraging **a wide range of technologies,** including RPA and the broader AI ecosystem. The goal is to create synergy between technologies **to achieve scalable, intelligent, and fully integrated workflows.**  ### **Implementation and integration**  A gradual implementation approach is recommended, starting with pilot projects. Subsequent phases involve integrating automated processes **with existing systems to ensure seamless communication** without adding complexity.  ### **Change management**  Adopting hyperautomation (and its solutions) can transform how people work. It’s crucial to involve teams early, **provide training and ongoing support**, and address resistance to change. 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