A new platform combining proprietary AI agents with human data engineering teams promises to complete enterprise data migrations roughly three times faster than conventional human-led delivery, compressing projects that typically run 12 to 18 months into a few months.
Xebia, a global digital transformation and engineering firm, announced general availability of Xebia Axis: Agentic Data Foundation. The solution assesses, builds, migrates, monitors and operates enterprise data platforms, positioning data estates for production AI workloads.
Six modules cover the data lifecycle. Readiness maps the data estate and produces a prioritised migration blueprint. Platform generates governed, policy-validated infrastructure as code. Knowledge converts content held in documents, email and disconnected systems into a governed data layer for AI. Migration automates data and pipeline conversion with parity checks. Observability monitors data quality and agent activity, while Operations submits fixes as pull requests for human review.
Xebia says human teams set strategy and govern quality while agents execute with roughly 10 times the leverage of a purely human-led team. Access control, audit logging, data residency and bias controls are built into the platform, and data remains within the client's environment.
The platform works across Amazon Redshift, Google BigQuery, Databricks, Snowflake and Microsoft Fabric, and with large language models including Claude, OpenAI, Gemini and Mistral AI.
"Enterprises have spent years moving data to the cloud, but many still cannot put AI into production because the underlying data and governance are not ready," said Xebia CEO Anand Sahay.
Organisations can start with a standalone readiness assessment, delivering a data readiness score, estate inventory and migration roadmap in two to four weeks. Assessment fees are credited toward a subsequent migration.