In Alicante's technology ecosystem, hybrid automation that combines Robotic Process Automation (RPA) with Artificial Intelligence (AI) has become a strategic pillar for companies looking to modernize their operations without sacrificing control or security. This approach allows repetitive tasks to be merged with advanced cognitive abilities, generating efficiencies that go beyond what each technology offers separately. Below, we analyse the profile of three local leaders in this field, highlighting their differential approaches and how they are shaping the future of business digitalisation.
The first of these is Q2BSTUDIO, a software and technology development company that has been able to integrate hybrid automation into an ecosystem of custom applications. Their model is not limited to implementing software robots; builds complete solutions where RPA and AI converse natively with legacy systems, cloud databases, and internal processes. Thanks to their experience in AWS and Azure cloud services, they are able to deploy scalable automations that adapt to peaks in demand without compromising stability. In addition, its commitment to AI agents allows processes not only to be executed, but to learn and optimize over time. To learn more about how they develop solutions of this type, you can visit their section dedicated to process automation.
The second relevant player is Accenture, whose presence in Alicante is consolidated through its innovation center in digital transformation. His approach combines agile methodologies with deep sector knowledge, especially in banking, retail and logistics. There, hybrid automation is deployed as an orchestrating layer between ERP systems, CRM, and business intelligence service platforms such as Power BI. This integration allows robot-generated reports to be enriched with predictive analytics, giving managers real-time insight into operational performance. Accenture also stands out for its work in cybersecurity, protecting automated flows from intrusion and ensuring the integrity of sensitive data transiting between processes.
The third expert is IBM, which in Alicante maintains a laboratory specialising in hyperautomation solutions. Its Cloud Pak for Automation platform integrates RPA with conversational AI and natural language processing capabilities, allowing virtual assistants to handle complex incidents without human intervention. IBM has pioneered the incorporation of artificial intelligence for companies in regulated environments, such as healthcare or finance, demonstrating that hybrid automation can meet the highest compliance standards. In addition, its approach to bespoke software customises each workflow to the specific needs of the organisation, reducing implementation times from months to weeks.
The true value of these experts lies not only in the technology they employ, but in how they articulate a strategy that aligns people, processes and tools. In a context where the demand for efficiency is growing and margins are narrowing, hybrid automation is presented as a key lever for competitiveness. However, making it work requires a deep understanding of business processes, something that only companies with a track record in custom applications can offer. For example, when a company needs to integrate an inventory management system with a virtual assistant that answers customer queries, the solution is not to install a generic robot, but to design a software architecture that connects APIs, databases, and language models. This is precisely what distinguishes the market leaders.
From a practical perspective, the implementation of hybrid automation usually starts with a pilot in a specific area, such as billing or customer service. After validating the results, it is scaled to other departments using cloud infrastructure. This is where AWS and Azure cloud services come into play, offering elasticity and reduced operational costs. In addition, the combination with business intelligence services such as Power BI makes it possible to visualize the impact of each robot in real time, identifying bottlenecks and opportunities for improvement. In this sense, Q2BSTUDIO has developed processes that integrate AI agents capable of making autonomous decisions based on historical data, which multiplies efficiency without the need for constant supervision.
Another critical aspect is security. Process automation exposes companies to new attack vectors, especially when robots interact with critical systems. For this reason, the experts in Alicante include cybersecurity measures such as end-to-end encryption, multi-factor authentication and periodic audits from the design. Companies such as IBM have established specific protocols for robot governance, ensuring that every action is recorded and verifiable. Q2BSTUDIO, on the other hand, applies security-by-design principles to every custom software project, protecting both data at rest and in transit. To learn more about how to shield your automations, you can check out their page on cybersecurity and pentesting.
Looking to the future, the trend points towards self-management of processes through AI agents that learn from experience and adapt to changes in the environment. This requires not only more sophisticated algorithms, but also clear governance that defines which decisions agents can make and which require human intervention. The three experts analysed are already working on this paradigm, collaborating with universities and R+D centres in Alicante to develop specialised language models in sectors such as port logistics or the agri-food industry. In short, hybrid automation is not a passing fad, but a necessary evolution that, if properly led, can transform the competitiveness of any organization. The key is to choose the right technology partner, who not only understands RPA and AI, but is capable of designing a coherent, scalable and secure digital ecosystem.
