The air group Air France-Klm He has taken a strategic step in his digital transformation by associating with Accenture to migrate his digital applications to the cloud. This initiative, which will take place over the next few years, will allow the group to close their three own data centers and bet on a more agile, scalable and resilient infrastructure.
The project not only seeks to modernize the group’s technological systems, but also optimize all its key operations: from passenger transport to load services and aircraft maintenance. Thanks to the use of cloud technologies, data intelligence and artificial intelligence, including generative AI, Air France-KLM will be able to adapt its resources in real time and improve their response capacity to demand.
Air France-KLM and Accenture
As part of this collaboration, both companies have defined a joint operational model with a shared governance system. One of the key initiatives has been the creation of a “migration factory” that uses standardized processes and reusable templates to facilitate simultaneous migration of hundreds of applications. To date, 350 applications have already been successfully deployed, fulfilling an ambitious roadmap and accelerating the implementation of new solutions.
Accenture collaborates with Air France-klm to support the group’s transition to the cloud
“Together with Air France-KLM, we are building resilience and new growth opportunities taking advantage of the power of the cloud and generative AI,” says Sabine Bechelani, responsible for the Travel sector in Accenture France.
For its part, Pierre-Loivier Bandet, Executive Vice President of Information Systems of Air France-KLM, emphasizes that this transformation “represents a significant milestone in our continuous digital evolution” and that the new infrastructure will allow the group to “optimize processes, improve operational agility and enrich the travel experience of millions of clients”.
A recent sales campaign in France and the Netherlands served as a fire test for this new technological architecture. The ability to climb resources in the cloud allowed the group to face a high demand without compromising system efficiency.
