Two Decades of Building on AWS: Turning Cloud and AI into Business Outcomes 

Back in 2006, when cloud adoption was still experimental for most enterprises, Xebia started building on AWS. The belief then remains unchanged today: Engineering excellence is what turns cloud capability into business impact. 

Since 2006, Xebia has worked alongside AWS to help organizations migrate, modernize, and scale cloud-native platforms. The objective has consistently been execution: Helping clients translate ambition into operating reality. Over time, early adoption evolved into a global partnership grounded in delivery depth, architectural rigor, and a builder’s mindset that treats every phase of growth as Day One. 

That long-standing collaboration led to a Premier Partnership  early on and was further solidified in 2024 through a multi-year Strategic Collaboration Agreement (SCA) with AWS. The SCA reflects how both organizations now operate together: aligned on go-to-market priorities, focused on joint solution development, and committed to delivering measurable outcomes from AI initiatives, across migration, modernization, FinOps, and resilience. 

From Cloud Foundations to Business Scale 

Across industries, the pattern is consistent. Organizations achieve scale when cloud platforms are designed around business needs, operated with discipline, and evolved continuously. 

For Paebbl, a climate-tech company focused on large-scale CO₂ mineralization, this meant building a cloud platform capable of supporting industrial-grade data processing while remaining cost-efficient and sustainable. By combining AWS infrastructure with Xebia’s engineering and GreenOps expertise, Paebbl accelerated its transition from pilot to production, enabling real-time insight into carbon impact while operating with the efficiency of a much larger organization. 

In retail, Wehkamp’s AWS journey focused on control as much as growth. As cloud usage increased, cost transparency and governance became critical. By embedding FinOps practices into engineering and product teams, Wehkamp improved cost predictability and decision-making while maintaining the flexibility required to scale during peak demand periods. Cloud became a controllable growth platform rather than an unmanaged cost center. 

In automotive SaaS, cloud foundations enabled a different outcome. By adopting a serverless architecture on AWS, one provider reduced operational overhead and infrastructure cost significantly while improving responsiveness and scalability. Architectural choices, combined with disciplined engineering, allowed the platform to meet industry requirements without the burden of traditional infrastructure models. 

Engineering AI into Daily Operations 

As cloud platforms matured, client ambition shifted toward AI. Xebia’s focus has been on implementation, moving organizations beyond experimentation toward production-grade AI that delivers operational value. 

A North American airline provides a clear example. Working with Xebia on AWS, the organization integrated generative AI into its software development lifecycle. AI-assisted planning, code generation, testing, and operational workflows improved engineering productivity by roughly 20 percent and reduced errors by approximately 30 percent. Adoption across teams exceeded 80 percent, demonstrating how AI delivers value when embedded directly into core processes rather than treated as a standalone initiative. 

This approach reflects a broader conviction: cloud acts as the enabling layer, AI as the accelerator, and engineering discipline as the mechanism that converts both into results. Xebia’s AI-first delivery model focuses on measurable outcomes, such as speed, quality, reliability, and cost, rather than proof-of-concept theater. 

The Role of the Strategic Collaboration Agreement 

The AWS Strategic Collaboration Agreement strengthens this delivery model. It aligns investments, skills development, and joint offerings across regions and industries. It also reinforces Xebia’s role as an execution partner that is capable of delivering complex transformations spanning cloud foundations, application modernization, cost optimization, sustainability, and AI adoption. 

Under the SCA, Xebia continues to invest in deep AWS expertise, industry-specific solutions, and scalable delivery models. Examples include the addition of an impressive number of competencies, e.g. GenAI, Sovereign Cloud, Experience Based Acceleration, and Agentic AI, as well as publishing dozens of solution on the AWS Marketplace. These efforts position clients to adopt new AWS capabilities quickly while maintaining architectural consistency and operational control. 

Looking Ahead 

Two decades of building on AWS have reinforced a simple reality: platforms scale and applications modernize when strategy, cloud capability, and engineering execution converge. AI follows the same rule. 

The next phase of the Xebia-AWS partnership centers on helping organizations operate in an AI-driven environment where cloud platforms support continuous innovation, cost discipline remains embedded, and AI becomes part of everyday decision-making and delivery.

Twenty years in, the focus remains on what comes next. Guided by AWS’s Day One principle, Xebia continues to operate with a builder’s mindset, only now across larger platforms, more advanced technologies, and bolder ambitions.