AI agents and expert human engineers work together to transform enterprise data. This is a key step towards the agenttic enterprise
Xebia, a global leader in AI-first, digital transformation, and engineering, announced: Xebia Axis: Agentic Data Foundationis a solution that makes enterprise data AI-ready with the speed of automation and the discipline of governed engineering. We combine unique AI agents with human data engineering teams to assess, migrate, monitor, and operate enterprise data platforms, completing migrations approximately 3x faster than traditional human-driven delivery without sacrificing governance or data quality.
This solution addresses changes in the way enterprise data is consumed. Data platforms are designed for people who can avoid discrepancies. Autonomous AI agents act on data as they find it. Xebia Axis ensures that the data, governance, and controls these agents rely on are consistent, auditable, and production-ready. While human teams set strategy and control quality, agents execute with approximately 10x the leverage of purely human-led teams.
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At a glance
- What is it: A single solution to assess, build, migrate, monitor, and operate enterprise data platforms that provides the foundation for the agenttic enterprise.
- structure: A human team sets the strategy and controls quality throughout the lifecycle. Unique AI agents perform assessment, migration, monitoring, and remediation tasks.
- 6 modules: Preparation, platform, knowledge, migration, observability, and operations.
- Timeline: Organizations can move from data chaos to a production-ready, self-healing data platform in weeks instead of months with traditional approaches.
- Governance: Access controls, audit logs, data storage, and bias controls are part of the platform, rather than being added as an afterthought.
- Interoperability: Works across major cloud platforms and large language models. There is no single vendor requirement.
“While enterprises have spent years moving data to the cloud, many are still unable to deploy AI into production because the underlying data and governance are not ready.” Mr. Anand Sahai, CEO of Xavier. “Xebia Axis bridges that gap so our clients can move to Agentic Enterprise faster than our competitors who are still struggling with legacy data platforms.”
How Xebia Axis works
Xebia Axis covers the entire data lifecycle in one solution, rather than the separate tools that companies typically assemble for each stage. Six modules are executed from initial evaluation to ongoing operations. Ready Create a migration blueprint that maps and prioritizes your data assets. platform Generate managed, policy-validated infrastructure as code. knowledge Transform documents, emails, and content held in disconnected systems into a managed data layer for AI. emigration Automate data and pipeline transformations with parity checks before cutover. observability Monitor data quality, service levels, and agent activity. and operation Perform root cause analysis after go-live and submit fixes as pull requests for human review.
The agent operates within the control of access, audit logging, and data residency, and the data remains within the client’s environment. Xebia Axis works across major cloud platforms such as Amazon Redshift, Google BigQuery, Databricks, Snowflake, and Microsoft Fabric, and major large-scale language models such as Claude, OpenAI, Gemini, and Mistral AI.
“The same agent technology that makes data debt urgent makes resolution faster,” he said. Niels Zeilemaker, Xebia’s Global CTO Data and AI. “Xebia Axis deploys dedicated agents alongside senior engineers to build and run data platforms in production, and builds governance into the platform itself.”
Built on a partner platform
Xebia Axis is built to run on the platforms that businesses already rely on. As a partner with Amazon Web Services, Microsoft, Google Cloud, Databricks, and Snowflake, Xebia deploys natively to each. Provision managed environments, migrate workloads, and operate pipelines within the stack of your customer’s choice. The solution is platform and model agnostic, allowing organizations to integrate these cloud and data platforms with their preferred large-scale language models and adapt as their architectures evolve.
Early cross-industry Xavier Axis efforts
- global bank The solution was used to consolidate fraud and credit data from separate batch systems into one managed platform with real-time access to detection models. Cloud data platform modernization for banks of this size and medium complexity typically reduces infrastructure costs by 30-50% in the first two years.
- global airline Applied Xebia Axis to modernize fragmented operational and customer data. By automating asset discovery, transcoding, and validation, Axis completes migrations approximately three times faster than traditional means. This reduces traditional migrations that typically take 12 to 18 months to just a few months.
- global retailer The solution was used to consolidate duplicate pipelines into a single, managed, continuously monitored platform and address data quality bottlenecks. The retailer benefits from more consistent and reliable data across reporting and operations, and issues are discovered and resolved before they reach downstream systems.
availability
Xebia Axis is currently available worldwide. Organizations can start with Preparation of Xebia axis As a standalone assessment, generate a data readiness score, asset inventory, and migration roadmap in 2-4 weeks. The evaluation fee will be applied towards subsequent migration. For more information, please visit www.Xebia.AI/Axis.
Xavier has recently been released Xavier AceAI native engineering solutions. It’s an AI-native software engineering framework designed for practical, results-driven modernization and digital transformation, embedding AI throughout the SDLC to accelerate delivery by up to 40%.
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