Hyperautomation has already moved from being just a promise to becoming a competitive necessity for companies looking to evolve rapidly in an increasingly digital world. In my journey as a technology executive, I have closely witnessed how hyperautomation has transitioned from an exploratory stage to establish itself as a transformative and irreversible strategy for businesses.
By definition, hyperautomation combines RPA (Robotic Process Automation), artificial intelligence (AI), machine learning (ML), natural language processing (NLP), iPaaS (integration platforms as a service), and other emerging technologies to automate complex end-to-end processes. However, beyond the definition, the true value of hyperautomation lies in its ability to seamlessly and intelligently integrate people, processes, and data—something that was previously limited to technological silos.
Today, there are solutions that go far beyond traditional RPA, such as ITSM automation, help desk automation, business process automation, integration with legacy systems via APIs or UI, and native embedding of generative AI. This enables automations with predictive analytics, contextual decision-making, and greater adaptability.
Trends that are already shaping the future
Generative AI and cognitive automation: With the evolution of LLMs (Large Language Models), such as those powering ChatGPT, we are entering the era of cognitive automation. Now, robots not only perform repetitive tasks—they understand and interpret natural language, respond to customers contextually, and make decisions based on variables that previously required human judgment.
These technologies can be applied, for example, in automated ticket triaging processes, customer email service, and compliance automation, where reading and interpreting natural language documents are critical.
Proactive automation with AIOps: In the field of IT management, AIOps is redefining how teams operate. Tools capable of identifying anomalous patterns, predicting failures, and initiating automatic fixes are shifting operations from reactive to proactive. Automation of service restarts, disk space clearing, password resets, and other critical tasks are all orchestrated by predictive models.
Citizen Developers and the democratization of automation: The low-code/no-code interface is another trend gaining traction. By empowering business-area employees with intuitive tools to build their own automations, it’s possible to accelerate digital transformation without relying solely on IT backlogs. This ‘citizen automation’ movement provides security and governance while giving business units agility and leadership.
Hyperautomation as an ESG lever: A less obvious but equally important trend is the role of hyperautomation in ESG (environmental, social, and governance) goals. Process automation drastically reduces paper usage, improves control over sensitive data, and minimizes human errors in regulatory processes, directly contributing to sustainability and compliance pillars.
Direct impact on businesses: efficiency, scale, and innovation
The impact of hyperautomation on businesses can be measured in three key dimensions:
Operational efficiency: Reduced costs and rework, along with increased productivity. The execution time of internal processes after implementing AI and RPA-integrated automations can see reductions of up to 70%.
Scalability with control: In sectors like banking, healthcare, retail, and telecommunications, process volumes are exponential. With hyperautomation, operations can scale without proportionally increasing human resources, maintaining control and traceability.
Continuous innovation: Automation frees up time and energy for professionals to focus on higher-value activities, fostering internal innovation and enabling faster market responses.
Brazil and Latin America: challenges and opportunities
In Latin America, there is a window of opportunity for companies looking to lead this movement. Although adoption is still at a medium stage, the digital maturity of organizations is growing rapidly. In Brazil, for example, we already see robust initiatives in financial institutions, healthcare providers, industries, and the public sector.
Hyperautomation is not just a technological issue but a cultural, strategic, and structural shift for companies. Those who understand this and act fast will gain a lasting competitive advantage. Those who delay risk becoming obsolete.
I believe the future of business will be autonomous, data-driven, and AI-assisted. But above all, it will be a purpose-driven future where automation serves people—not the other way around.
