Artificial Intelligence for Technological Integration

Founded in 2005 in Luxembourg, Satisco is a leading partner in the technology integration sector, with expertise in middleware and a forward-thinking approach to artificial intelligence (AI). Patrick Luc, Country Manager, and Alain Kunnen, CEO of Satisco, emphasize the company’s dedication to innovation and new technologies and the significant impact of AI in technology integration.


IA in Technology Integration


“Our expertise lies in integration technologies, specifically middleware, which facilitates communication between different applications within a company. We specialize in implementing services related to technologies that enable internal and external applications to communicate with each other,” explains Alain Kunnen. This specialization extends to internal communications within the company and interactions with external partners, which may require data exchanges in specific formats. We develop dedicated interfaces to extract relevant information, format it according to established standards, transmit it to partners, manage responses, and update systems accordingly.


“Our central role in managing transaction flows goes beyond synchronizing data,” says Patrick Luc. “This gives us a unique opportunity to integrate AI into our operations. By capitalizing on the massive data generated by these integration platforms, a carefully developed AI can transcend its initial functions.” It becomes a powerful detection tool, facilitating fraud prevention and detection, reinforcing overall system security, and anticipating potential problems by proactively proposing improvements.


“We view it in a broader perspective where AI transforms the way we operate, improving the predictability, responsiveness, and performance of all our services. Our expertise in technology integration goes beyond simple data synchronization. Combining knowledge of integration technologies is key to achieving successful results with artificial intelligence”, says the Country Manager of Satisco.


AI as a transformation driver


According to Alain Kunnen, Satisco operates in an environment where AI is evolving rapidly, as symbolized by highly successful tools such as ChatGPT 3.5 and 4.0. This dynamic requires continuous adaptation, challenging businesses to stay at the forefront of technological advances. The evolution of AI is also reshaping the professional landscape for IT professionals, underscoring the challenges they face both technologically and strategically. Once in the driver’s seat, professionals now face the threat of AI, which can develop, detect flaws, and read code at an unprecedented speed. Our strategy involves proactively integrating AI into the business, anticipating change, and adopting an evolutionary approach.


“As a consulting company with expertise in IT services and long-term consulting, our goal is to provide comprehensive support to our clients, rather than a simple ‘body-shopping’ approach,” explains Alain Kunnen. “At Satisco, we are undertaking an upscaling initiative by integrating AI as an internal tool, a kind of augmented brain, at the service of our consultants. This approach aims to transform our experts into “consultants 2.0”, equipped with an AI-enhanced knowledge base.


According to Patrick Luc, “The goal is to provide our consultants with an internal reference framework that goes beyond individual skills. Thanks to this approach, we intend not only to improve the services offered to our clients but also to position our consultants as professionals who are evolving in an ever-expanding technological environment. Ongoing R&D projects are evaluating the quality of responses generated by AI, paving the way for its future integration into the operational processes of companies.


Data quality, the foundation of AI


For Satisco, data quality is fundamental. Patrick Luc explains: “In fact, AI projects, which are often launched with the hope of obtaining significant results from raw data, require considerable upstream work. Complex tasks such as data validation, cleansing, and standardization are necessary to ensure that the data provided meets current standards. This also increases the reliability and relevance of the answers generated.


“This active approach to data management is an integral part of how we manage our internal projects, but it also shapes how we support our customers to best integrate AI into their processes,” concludes Alain Kunnen.


An Article written by Alain KUNNEN CEO and Patrick LUC Country Manager.