Agentic Data Foundation

Six purpose-built AI solutions replacing months of manual effort with weeks of automated, governed delivery. From data discovery to self-healing operations — one living foundation for everything AI.

Faster Migration

60%

Cost Reduction

40%

Governance Coverage

100%

Agentic Modules

6

The biggest challenge to scale AI from pilot to production and why 83% of organizations are still stuck.

The Enterprise Data Reality

organizations are invested in AI

But only 17% have operationalized AI and are driving business value. 83% are stuck in pilots, POCs, or early experimentation.

85%

say their data is completely AI-ready

27% of enterprises report their data is 'not very or not at all ready' for AI. The gap keeps growing.

7%

cite data quality as #1 AI obstacle

Up from 17% in 2024. The average org scrapped 46% of AI POCs before they ever reached production.

42%

agentic AI projects will be cancelled by 2027

By 2030, 50% of AI agent failures will trace back to insufficient data governance.

40%

Xebia Agentic Data Foundation

Six modules, one living foundation for data discovery, ingestion and consolidation, orchestration and observability.

AI Assessment

Before you can move, you need to see clearly. Our AI Assessment solution scans your entire data estate: ETL code repositories, DDL schemas, pipeline dependencies and data lineage and produces a complete, prioritized migration blueprint in just two to four weeks. 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. The more you connect, the clearer the picture becomes.

Data & AI Platform Deployment

Standing up a modern, compliant cloud data platform from scratch takes months of infrastructure engineering. Our Platform Deployment solution compresses that to days. Describe your target environment and a skills-based agent generates production-ready Terraform for AWS, Azure, or GCP. Every script is linted, security-scanned, validated against your policy-as-code rules, and auto-remediated before it ever reaches your environment. The result is a governed, repeatable AI Landing Zone that your agents can immediately operate within.

Unstructured Knowledge

Most enterprises have years of critical knowledge locked inside PDFs, Word documents, PowerPoints, audio recordings, video transcripts, email threads and SharePoint folders — none of it accessible to AI agents. Our Unstructured Knowledge solution changes that. A unified ingestion pipeline processes any format through a single parsing and enrichment engine, connecting directly to SharePoint, Azure Blob, S3 and other enterprise stores without custom glue code. The output flows straight into vector stores and search indexes, ready for RAG, semantic search and agentic Q&A — with every answer traceable back to its source. Stress-tested on 60,000+ documents and 200+ GB datasets.

Migration Solution

Data migration projects are notorious for running over time and over budget — breaking downstream systems and leaving teams firefighting for months after go-live. Our Migration solution changes that calculus entirely. Using the lineage and complexity maps produced in the AI Assessment phase, an agentic conversion engine translates ETL logic, DDL schemas and pipeline code to your target platform — Databricks, Snowflake, GCP BigQuery, AWS Redshift, or Azure Fabric — with naming standards enforced and parity validated throughout. Four sequential modules take you from target state design all the way to a certified, production-ready migration without the manual heavy-lifting that has historically made this work so expensive.

Observability

Agentic AI demands far tighter observability than traditional data platforms, agents act on data in real time, errors compound as scale grows, and issues found by stakeholders rather than alerts are unacceptable. Our Observability solution provides a unified control plane that watches data jobs, pipeline health, dataset quality and AI agent behavior across Azure, AWS, GCP, Databricks and Snowflake simultaneously. Every finding is logged with full context. Auto-actions are off by default and governed by per-project budgets, so your team stays in control while agents surface and classify issues faster than any manual monitoring approach could.

Intelligent Operations

Most data platform engagements end at go-live, leaving the client to manage operations with the same manual processes that made the original estate so fragile. Our Operations solution changes the run-state model entirely. It continuously ingests findings from the Observability layer, performs root cause analysis by correlating logs, lineage and recent code commits, and generates patch candidates as draft pull requests, ready for an engineer to review, approve and merge. Every action is audited and versioned. New data sources, KPIs and reporting requirements are onboarded in a controlled, continuous way, so the platform evolves without disrupting the business operations running on top of it.

Key Benefits

60% Faster Migration

Building or migrating a high-quality data platform takes time and effort. Agentic Data Foundation accelerators help you get there in weeks — shortening time to value dramatically compared to traditional processes.

Specialized Agentic Expertise

Building and scaling an agentic data platform demands specialized expertise most organizations lack. Xebia's Human + Agent model delivers a proven, AI-native foundation that scales effortlessly — 10x leverage without the headcount.

Compliance & Governance

Without robust governance, AI agents act on conflicting data and errors compound at scale. Agentic Data Foundation embeds automated governance, audit trails, access controls and data residency from the very start — not post-hoc.

Scalable Agent-Ready Infrastructure

A newly built platform may handle a few use cases but struggle at enterprise AI scale. Xebia Agentic Data Foundation is designed for agentic workloads from the ground up — real-time data, semantic layers, MCP/A2A interfaces and sovereign data controls built in.

Self-Healing Operations

Most platforms stop at delivery — leaving clients to manage operations manually. Our modules continuously monitor the estate, auto-detect issues, perform root cause analysis and propose code fixes 24/7 with full audit trails.

LLM-Flexible & Cloud-Agnostic

Agentic Data Foundation is compatible with all leading cloud providers (AWS, Azure, GCP, Databricks, Snowflake) and LLM providers (Claude, OpenAI, Gemini, Mistral AI, Copilot). Modular by design — no vendor lock-in, ever.

Our Ecosystem

Partners

Anthropic-Authorized Reseller delivering enterprise-ready Claude deployments with governance, accelerators, agentic AI, and structured upskilling through Xebia Academy.

AWS Premier Partner with 750+ experts and 18 competencies, leading AI-powered modernization with GenAI, Agentic AI, and digital resilience.

Elite Consulting Partner and Europe’s first Authorized Training Partner with 100+ certified experts, including 8+ Databricks Champions.

Google Cloud Premier Partner since 2017, providing secure, cloud-native solutions in data, GenAI, and Agentic AI.

Cloud-based data platform that enables seamless data storage, processing, and advanced analytics across multiple clouds.

Trusted Microsoft Solutions Partner across Azure, Security, Infrastructure and Innovation, with 27 MVPs, 5 Regional Directors, and 1200+ engineers.

Our People

Digital Leaders at Xebia

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Mayank Verma

AI leader with 18+ years of experience designing and scaling enterprise AI/ML strategies. Mayank holds a U.S. patent for AI-driven fraud detection and specializes in delivering business impact through secure, production-grade AI solutions across industries.

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Giovanni Lanzani

With 10+ years at the intersection of tech and business, Giovanni leads AI transformation at scale. Backed by a PhD in theoretical physics, he focuses on innovation, growth culture, and delivering sustainable impact through advanced data and AI solutions.

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Niels Zeilemaker

Global CTO at Xebia with broad experience across startups and global enterprises. Niels defines data tech stacks and drives architecture strategies, including data mesh implementations, to enable scalable and future-proof solutions.

Frequently Asked Questions

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 60% faster migration, 40% cost reduction, and 100% governance from Day 1 — at a fixed price.

Contact

Let’s discuss how we can support your journey.

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