Tech • IA • Crypto
Solving the IT-Business Divide: How LATAM Airlines Bridged Silos to Find 3.5 Airplanes in Their Data
6/10TL;DR
LATAM Airlines accelerated its digital transformation by embedding cloud, data, and AI across operations, enabling measurable gains such as optimizing maintenance to effectively add aircraft capacity without new purchases.
KEY POINTS
Shift to a digital-first airline
LATAM Airlines, a century-old carrier, has undertaken a broad transformation to become a digital organization by integrating cloud computing, data, and AI into daily operations. The initiative aims to modernize legacy processes while aligning technology closely with business strategy. Leadership emphasized embedding digital capabilities across all functions rather than treating IT as a separate support unit.
Bridging business and technology
A central pillar of the transformation has been dissolving the traditional divide between business and IT. The company introduced multidisciplinary digital teams combining technical experts with business specialists. This structure ensures that solutions are developed with a deep understanding of operational challenges, moving away from rigid requirement-driven workflows toward collaborative problem-solving.
Early investments laid the groundwork
Key decisions made around 2018 accelerated progress, including adopting a digital workspace platform and committing fully to the cloud. These steps improved collaboration and scalability, while enabling the creation of dedicated data and digital teams. The shift also introduced agile methodologies, helping teams iterate faster and adapt to changing needs.
Building a data-driven culture
Beyond infrastructure, LATAM prioritized spreading data literacy across the organization. Employees were encouraged to engage directly with data and AI tools, fostering a culture where insights drive decisions. The company also developed an internal large language model environment, giving staff broad access to AI capabilities and enabling grassroots innovation.
From automation to reinvention
While automation of existing processes delivered efficiency gains, the company focused on rethinking entire workflows. Leaders encouraged teams to question whether processes were necessary at all, rather than simply digitizing them. This approach marked a shift from incremental improvement to more fundamental operational redesign.
AI-driven maintenance optimization
One of the most notable outcomes came from transforming aircraft maintenance planning. Previously reliant on spreadsheets and manual tracking, the process was rebuilt using advanced algorithms and centralized data modeling. By incorporating multiple variables into optimization models, LATAM improved scheduling efficiency and resource allocation.
Tangible operational gains
The maintenance transformation delivered a striking result: the equivalent of 3.5 additional aircraft in operational capacity without purchasing new planes. This gain highlights how data-driven optimization can unlock hidden value in existing assets, particularly in capital-intensive industries like aviation.
Balancing innovation with safety
Operating in a highly regulated sector, LATAM adopted a cautious approach to innovation. While challenging legacy practices, the company ensured that all changes maintained safety and compliance standards. This balance allowed experimentation without jeopardizing operational reliability.
Continuous funding model for innovation
To accelerate experimentation, LATAM introduced a continuous funding process, removing the need for fully developed business cases before testing ideas. This model supports rapid prototyping and iteration, with the understanding that improvements in customer experience will ultimately drive financial returns.
Employee-led innovation
Open access to AI tools enabled employees, including crew members, to develop and share their own solutions. These grassroots innovations improved day-to-day workflows and demonstrated the value of democratizing technology across the workforce.
CONCLUSION
LATAM Airlines’ transformation shows how aligning cloud, data, and AI with organizational culture and structure can deliver measurable operational and financial gains while maintaining safety in a regulated industry.