Swiss sportswear brand On is using Google Cloud as the foundation of its enterprise AI strategy, deploying AI agents to accelerate cloud migration and reduce the cost of complex technology projects.
Announced on October 8, the initiative saw On migrate 24 critical services to Google Cloud using a coordinated system of AI agents. The company says the approach reduced migration timelines from a traditional estimate of three months to two weeks per service, while keeping planned downtime below five minutes per service during production migrations.
The project highlights how sportswear companies are increasingly applying AI beyond product design and consumer-facing services, using the technology to transform core infrastructure and business operations.
AI agents cut migration costs
On’s engineering team used AI agents to analyse code repositories, generate infrastructure configurations, prepare data migration processes and validate tests. Human engineers remained responsible for reviewing the generated code, executing infrastructure changes and approving production deployments.
According to On, 15 of the 24 migrations were completed by its own engineers without external implementation support.
The financial implications were also significant. On said an external provider had quoted $500,000 to migrate only part of its microservices environment using a traditional approach. The company subsequently completed the broader migration with its internal engineering team, supported by AI agents.
On chief technology officer Narek Verdyan said the approach demonstrated how AI agents could enable large-scale cloud migration without requiring additional implementation resources.
Data platforms are next
The cloud migration is the first stage of a broader enterprise AI programme. On plans to modernise its data platforms next, creating a more scalable foundation for deploying AI applications across the business.
The company has also made Gemini Enterprise available to employees, allowing them to build specialised AI agents for tasks including management reporting, market research, planning and recruitment.
The strategy aims to make AI a company-wide capability rather than a tool used exclusively by technology teams.
For On, the commercial opportunity extends beyond faster cloud migration. By automating complex technical workflows, the company aims to reduce reliance on external providers, improve operational efficiency and establish a repeatable model for future technology projects.
The next phase will test whether the gains achieved in infrastructure migration can be replicated across data management and other business processes, as On seeks to scale AI adoption throughout the organisation.