What is Xebia Axis: Agentic Data Foundation and what does it include?

Xebia Axis is an agentic data foundation that pairs AI agents with human data engineering expertise to assess, build, migrate, monitor, and operate enterprise data platforms. It includes six modules: Axis for Readiness, Axis for Platform, Axis for Knowledge, Axis for Migration, Axis for Observability, and Axis for Operations.

How does Xebia Axis: Agentic Data Foundation differ from hiring a traditional system integrator (SI)?

Traditional SIs rely on human-led, manual delivery: assessments take 6–12 weeks, migrations 12–18 months, with T&M billing and governance treated as a separate workstream. Agentic Data Foundation uses Xebia's own AI agents to execute, monitor, and iterate while human experts govern quality. This delivers 3x faster migration, cost reductions, and 100% governance from day 1 at a fixed price.

How quickly can Xebia Axis be deployed?

Axis for Readiness delivers a complete migration blueprint in 2–4 weeks. The build and migrate phases run 3–6 months, depending on the scope. Post-migration, Axis for Observability and Operations run continuously. This compares to 12–18 months for a traditional SI engagement.

Can we start with just Xebia Axis for Readiness?

Yes. Axis for Readiness is a standalone starting point. You will receive a full data readiness score, estate inventory, and a migration roadmap in 2–3 weeks, before committing to any migration work. Assessment fees are credited against Axis for Migration if you proceed.

How is data security and sovereignty handled?

Xebia Axis: Agentic Data Foundation is built with responsible AI and data sovereignty at the core. Every agent operates within guardrails for access control, audit trails, data residency, and bias prevention, aligned with global AI governance frameworks. Data never leaves the client's perimeter — the platform is designed to be continuously governed and audit-ready from Day 1.

How does the Human + Agent model actually work?

Humans set strategy, define governance rules, review agent outputs at every checkpoint, and own the outcomes. Agents scan, execute, monitor, and iterate at a velocity no manual team could match. The combination delivers 10× the leverage of a purely human-led approach, with quality governance firmly in human hands.

Which cloud platforms and LLMs does Xebia Axis support?

Cloud platforms supported: AWS, Azure, GCP, Databricks, Snowflake, BigQuery, Redshift, and Azure Fabric. LLMs supported: Claude, OpenAI, Gemini, Mistral AI, Copilot, and DBRX by Databricks. The architecture avoids vendor lock-in — so you can swap cloud or LLM providers as requirements evolve.

What happens after migration? Who manages ongoing operations?

Xebia Axis does not end at go-live. Axis for Observability continuously monitors pipeline health, data quality, and agent behavior. Axis for Operations performs root cause analysis and proposes code fixes as reviewed pull requests. You won't end up with a migrated estate that has no one to manage it.

Xebia Axis

Ready Data. Trusted AI.

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Xebia Axis™ Agentic Data Foundation is the end-to-end solution that pairs proprietary AI agents with human data engineering expertise to make your data ready for AI. Organizations move from data sprawl to a production-ready, self-healing data platform in weeks, not months.

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Accelerated Migration

Faster than a traditional program without cutting corners on governance or quality.

3x

Continuous Operations

Agents continuously detect, alert, and propose fixes. No manual toil required.

24/7

Governance by Design

Governance is built in from the beginning, not bolted on later. Agents are governed by access control, audit trails, and data residency.

100%

Expanded Capacity

A team of agents that delivers the output of a full department
— at a fraction of the headcount.

10x

The Enterprise Data Reality

Everyone invested in AI. Few are getting value.

85% of organizations have invested in AI

That's nearly every enterprise in the market. Yet, that investment alone hasn't translated into operationalized systems or real business value.

(source: Atlan, 2025)

44% cite data quality as their #1 blocker

Nearly half of companies name data quality as their single biggest AI obstacle. Without solid data foundations in place, it's the barrier most likely to stall their projects.

(source: Data & AI Monitor, 2025)

80% of AI projects fail

Roughly twice the failure rate of non-AI technology initiatives. Most are abandoned before they ever deliver a measurable return on investment.

(source: S&P Global, 2025)

40% of Agentic AI projects will be canceled

Gartner expects more than four in ten agentic AI projects to be scrapped by 2027, with poor data governance as the root cause driving a growing share of those failures.

(source: Gartner, Mar 2026)

What is Xebia Axis?

Xebia Axis is a proprietary agentic data foundation built to get enterprise data ready for AI, not just migrated. Human experts set strategy and govern quality; agents execute, monitor, and iterate around the clock, delivering a production-ready platform at 10× the leverage of a traditional team.

It delivers six integrated modules covering the full data lifecycle, from initial estate scan to self-healing daily operations, replacing the fragmented toolchain of traditional data migration programs. It's compatible with all leading cloud providers: AWS, Azure, Google Cloud, Databricks, Snowflake, and any LLM, with no vendor lock-in.

How It Works

Readiness module scans your entire data estate and produces a complete, prioritized migration blueprint.

Using a skills-based agent that combines deterministic Python analysis with LLM reasoning, it surfaces hardcodings, anti-patterns, complexity risk, and cross-system dependencies that traditional discovery tools miss entirely.

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Compress months of infrastructure engineering into days with our Platform module.

Describe your target environment through a conversational interface, and a skills-based agent that generates production-ready Terraform for AWS, Azure, or Google Cloud. Every script is linted, security-scanned, and validated against your policy-as-code rules before it reaches your environment. The result is a governed, repeatable AI Landing Zone that is ready for the agents that will run on it.

Knowledge module transforms fragmented content into a persistent, governed memory layer.

Most enterprises have years of operational knowledge, business context, and decision history locked inside PDFs, emails, SharePoint folders, and disconnected systems that are inaccessible to AI agents and impossible to govern at scale. Axis for Knowledge transforms that fragmented content into a persistent, governed Vector DB layer for enterprise AI.

Xebia Axis for Migration turns slow, costly conversions into governed, automated migrations.

Using the lineage and complexity maps produced in the Readiness phase, an agentic conversion engine translates ETL logic, DDL schemas, and pipeline code to your target platform: Databricks, Snowflake, Google Cloud, BigQuery, AWS, or Azure. Naming standards are enforced and parity validated throughout, via automated test dataset generation and source-to-target reconciliation before production cutover.

Xebia Axis for Operations continuously optimizes your data platform.

Axis for Operations ingests operational findings, engineering requests, and platform changes from across the estate, correlating lineage, logs, code commits, and historical patterns to identify root causes and recommend corrective actions. Agents generate patch candidates, ingestion pipelines, model updates, and enhancements as governed draft pull requests, ready for engineers to review, approve, and deploy. Every action stays versioned, traceable, and human-governed.

Xebia Axis Partner Ecosystem

Xebia Axis vs Traditional Solutions

Most data tools fix only a piece of the puzzle. Xebia Axis runs the full data lifecycle.

What's next?

Get Your Data Readiness Score

A 30-minute introductory call. We'll learn about your data environment and challenges, and explain how Xebia Axis for Readiness can deliver a data readiness score and migration roadmap in 2–3 weeks.

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Xebia consultants planning enterprise AI and data transformation strategy

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Data & AI Monitor (2025/2026)

Are organizations truly moving from potential to performance? Get the latest thinking on experimentation culture, budget alignment, AI maturity, and the rise of responsible, production-ready AI.

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Why AI Agents Fail Without the Right Data Foundation

An agent is only as good as the data beneath it. In this interview, Xebia's global CTO explains why agentic AI scales on data strength — and how a foundation built only for humans needs to change.

Read The AI News Article

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AI-Ready Architecture whitepaper cover by Xebia

Sovereign AI for Regulated Enterprises

When sensitive data, compliance, auditability, vendor dependency, or cross-border processing come into play, the most valuable AI use cases often get stuck before they deliver real business value.

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