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AIModelKit > News > Xebia: The Critical Role of Data Foundations in Preventing AI Agent Failures
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Xebia: The Critical Role of Data Foundations in Preventing AI Agent Failures

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Last updated: June 11, 2026 5:00 pm
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Xebia: The Critical Role of Data Foundations in Preventing AI Agent Failures
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Building the Foundation for AI Success: The Importance of Data in Agentic AI

In the rapidly evolving landscape of artificial intelligence, organizations looking to integrate AI agents are faced with a crucial challenge: establishing a robust data foundation. According to Niels Zeilemaker, global CTO at Xebia, the effectiveness of AI agents hinges fundamentally on the available data. Without adequate data management and accessibility, even the most well-designed AI agents can falter.

Contents
  • Understanding the Role of Data in AI Development
  • The Crucial Aspect of Data Cataloguing
  • Xebia’s Commitment to AI Transformation
  • The Agentic Data Foundation (ADF)
  • Accelerating Data Migrations with Experience
  • Xebia ACE: A Comprehensive Framework
  • Navigating Security Concerns with AI
  • Empowering Enterprises at Every Stage of Their Journey

Understanding the Role of Data in AI Development

When developing AI agents, data serves as the backbone. Zeilemaker emphasizes that if the data foundation is not adequately prepared, AI agents might misinterpret or improperly connect fields within the data. “These mistakes are not necessarily the fault of the agent,” he notes. “It’s the fault of your foundation, which is not ready for AI agents.” Hence, organizations must prioritize improving their data landscape before deploying AI solutions.

The Crucial Aspect of Data Cataloguing

A critical area for organizations to focus on is data cataloguing. While this concept isn’t new, its significance escalates in the realm of AI agents. Traditional data cataloguing methods can afford a fallback mechanism for human users, who can consult colleagues for clarification on poorly documented data. However, AI agents lack this flexibility; they depend solely on the information contained in the data catalogue. If the descriptions are incorrect, the performance of these agents will suffer.

This dependency highlights the necessity of robust documentation. Clear, accurate descriptions in data catalogues empower AI agents to operate effectively and accurately. Any oversight in this process can lead to performance issues and misapplications of AI solutions.

Xebia’s Commitment to AI Transformation

Xebia is positioned to assist organizations in transitioning from AI strategy to execution, emphasizing quality and a people-first approach. A critical aspect of their mission lies in knowledge sharing, which Zeilemaker acknowledges as essential for staying ahead in a constantly shifting market. Participation in events such as TechEx Global North America fortifies this commitment to collaboration and innovation.

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“This sharing of knowledge allows us to be a bit ahead of the curve,” Zeilemaker states. By engaging in such forums, Xebia not only disseminates best practices but also cultivates a culture of continuous learning and improvement.

The Agentic Data Foundation (ADF)

At the core of Xebia’s approach is what they term the Agentic Data Foundation (ADF). This framework extends traditional data platforms to incorporate AI agents, thereby facilitating their use both in customer-facing applications and internal operations. The shift from legacy to modern platforms is gaining traction, and more customers are expressing interest in quickly and reliably migrating to cutting-edge data solutions.

Zeilemaker notes that the co-development of solutions between consultants and clients provides significant advantages. This collaborative framework amplifies the potential for streamlined transitions and enhances overall effectiveness.

Accelerating Data Migrations with Experience

Xebia’s strategy for accelerating data migrations reflects accumulated industry experience. By integrating innovative methods, such as coding with large language models (LLMs), they are refining migration processes and embedding context into data platforms. “After doing migrations the old-fashioned way, and accelerating some with LLM coding, we are now integrating this into the data platform,” says Zeilemaker. This enables organizations to achieve faster, more reliable data transitions.

Xebia ACE: A Comprehensive Framework

Another vital tool in Xebia’s arsenal is Xebia ACE, an AI-native software engineering framework that extends AI capabilities throughout an organization’s software development lifecycle (SDLC). This approach allows for significant performance improvements, with delivery timelines being sped up by up to 40% and legacy transformation costs being reduced by as much as 70%.

Zeilemaker highlights that Xebia ACE is especially beneficial for larger enterprises that wish to maintain established governance processes while embracing modern development practices. The framework not only accelerates the development process but ensures that the quality of outputs remains high—an essential consideration for enterprise-level organizations.

Navigating Security Concerns with AI

In the evolving landscape of AI-driven software development, maintaining code quality and security is paramount. The generation of extensive AI-driven code raises important questions regarding potential vulnerabilities. Zeilemaker stresses the industry-wide need to address these concerns innovatively.

One emerging solution is the use of AI-driven review tools, as demonstrated by Anthropic’s recent introduction of a pull request reviewer. Incorporating a senior digital assistant into the code review process can reinforce quality controls and streamline feedback loops, ensuring more reliable production releases.

Empowering Enterprises at Every Stage of Their Journey

Xebia understands that organizations are at various stages of their AI integration journeys, from assessing their data readiness to executing new solutions. With their extensive knowledge and tools like the Agentic Data Foundation and Xebia ACE, they are equipped to assist enterprises in building the right foundations for AI success.


Want to Learn More?

Interested in diving deeper into the realm of AI and big data? Join industry leaders at upcoming events in Amsterdam, California, and London, all part of TechEx. For more details, click here. Stay ahead in the evolving tech landscape with insights from experts and innovative solutions that drive transformation.

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