Welcome to Xebia Quarterly Global Insights from our Digital Leaders.
We are at a defining moment for enterprise transformation. AI is no longer a future ambition or a series of experiments; it is a reality. It is rapidly becoming the operating backbone of modern organizations, reshaping how decisions are made, how work is executed, and how value is created. As investment accelerates, the true differentiator is no longer access to technology, but leadership’s ability to execute with discipline, alignment, and scale.
In this edition of our global newsletter, we focus on the questions CEOs and senior leaders are now grappling with: how to move beyond pilots to enterprise-wide adoption, how to consolidate fragmented data landscapes to power agentic AI, how to operationalize these agents to reimagine business responsibly, and how to translate platform investments and partnerships into measurable business outcomes. Across every perspective, the emphasis is on turning ambition into execution and innovation into sustained, repeatable enterprise value.
As we look ahead to 2026 and Xebia’s 25th anniversary, we remain committed to helping organizations navigate transformation with confidence. I want to thank our clients, partners, and teams around the world for an incredible year, and wish you and your families a happy holiday season and continued success in the year ahead.
Anand Sahay
Global CEO
FEATURED NEWS
Xebia Wins GitHub Partner of the Year
Xebia has been recognized for the second consecutive year as a GitHub Partner of the Year. The award highlights Xebia’s impact in accelerating modern software delivery, developer productivity, and AI-driven innovation at scale.
From Sparks to Systems Implementing Agentic AI at Scale
As agentic AI moves from pilots to scale, enterprises face new challenges around governance, value, and execution. Co-written with AWS, Xebia’s whitepaper outlines how to operationalize agentic AI responsibly while driving measurable impact at scale.
Xebia demonstrates why adopting AI on Google Cloud is as much about people and process as it is about technology by combining Google’s advanced AI tools with structured change management to accelerate innovation, boost adoption, and create lasting organizational value.
How a Leading North American Airline Boosted Engineering Throughput and Quality with AI-Powered SDLC on AWS
Xebia partnered with a global airline to modernize its software delivery lifecycle using AI-powered engineering on AWS, improving development speed, code quality, and operational efficiency. The approach enabled faster innovation while maintaining reliability at scale.
View more stories of our clients' success at Xebia.com.
Modernization Beyond Tech Debt: How GenAI Reshapes Enterprise Decisions
Enterprise modernization is more than just reducing technical debt. Xebia explores how generative AI and strategic decision-making must be embedded into core business processes to drive sustainable value and transformative outcomes.
Agentic AI is moving beyond experimentation to drive real revenue across enterprise workflows. Xebia highlights where high-impact use cases are emerging and how agentic AI turns autonomy into measurable business results.
Amazon Bedrock AgentCore: The Runtime Foundation for Building, Deploying, and Scaling AI Agents
Amazon Bedrock and AgentCore are redefining the runtime foundation for building, deploying, and scaling AI agents. Xebia examines how these technologies enable secure, scalable agent architectures that accelerate the adoption of real-world AI.
Reimagining Value Delivery: From Agile Legacy to Authentic AI Operating Models
As enterprises transition from agile foundations to AI-driven operating models, leadership, structure, and execution must evolve accordingly. Xebia explores how organizations can rewire operating models to scale AI with speed, accountability, and impact.
Xebia's got your learning journey covered with a variety of paid and free training courses, webinars, and educational resources.
AI Strategies for Leaders: Ethics, Governance, and Business Success
Discover how leaders can define effective AI strategies, align AI initiatives with business objectives, and make confident decisions about adoption, governance, and long-term value.
This session explores what a data lakehouse is and how it combines the strengths of DLs and warehouses to support scalable analytics, AI workloads, and better data-driven decision-making.
.png?width=150&upscale=true&name=Anand%20Sahay%201%20(1).png)
