Data & AI across EMEA
Your AI journey starts with data.
Devoteam helps you make your organisation and data AI-ready, modernise the platform it runs on, and put AI agents into production, with the value measured at every step.
What we do
Devoteam is a data and AI partner working in 25+ countries across EMEA. You get help in three areas: making your organisation and data AI-ready through strategy, operating model and governance; migrating legacy databases and your data warehouse to an AI-native platform; and putting AI agents into production with accuracy, adoption and cost measured.
Our data and AI services
Three steps, one journey to AI. Each stage builds on the last, and each step is where the next one gets its footing.
01
Make your organisation and data AI-ready
Most AI programmes stall on the basics: unclear ambition, no owner, ungoverned data. Fix those first and every use case after moves faster.
- AI strategy and culture
- Data and AI operating model plus knowledge management
- Applied data and AI governance
02
Modernise your data environment for AI
Legacy warehouses cost €2M to €5M a year to maintain and support zero native AI use cases. Move legacy databases and your EDW to an AI-native platform: lift and adjust first, modernise after.
- Platform migration and modernisation
- Data platform build for AI
- Architecture and model orchestration
03
Deploy enterprise-grade AI agents
Your data already sits in the platform, but 75 to 80% of your people still cannot reach it without an analyst. Agents close that last mile.
- Value-driven data and AI use case delivery
- Agentic at Scale
- Control plane for accuracy, adoption and cost
Data & AI delivered with
Strategic platforms
Data specialists
AI specialists
Why Devoteam
Agent programmes fail in two places: 95% of generative AI pilots never reach measurable P&L impact, and production agents decay within three to six months when nobody watches their accuracy. You get accelerators, one delivery method and a local team built to prevent both.
Devoteam is a recognised partner across the major cloud, data and AI platforms, with 2,200+ platform certifications behind the advice. Your target platform gets chosen against the workload you actually run.
11,000+
AI-certified experts, holding 25,000+ certifications.
2,400+
AI projects delivered every year.
350+
atomic agents already in the field.
Meet our Accelerators
You do not start from scratch. Devoteam’s own accelerators, plus the agentic studios we run with our strategic partners, take the manual work out of migration, data product delivery and agent configuration. They are on your project from day one, and 350+ atomic agents have already come out of them.
One delivery network, one local team
Your team sits in your country and works in your language. Behind them is the rest of the network: 1,000+ data and AI specialists, one delivery method and the same shared accelerators, whichever country you are in.
Meet the people you’ll work with
Cyril Lehmann
Data Group Senior Vice President
Laurent Letourmy
Head of Data in France
Patricia Cardoso
EMEA Data Marketing Director
Anchi Ye Yin
EMEA Data Operations Lead
Leading organisations have taken their business to new heights with Devoteam. What if you were next?
Talk to a data and AI specialist
Tell us where your AI programme is stuck: the data, the platform, or getting agents into production. You’ll speak to a specialist in your own country and language.
Explore Devoteam’s Data & AI Magazine
Industry insights and tech news on data platforms, migration and AI agents, written by experts for experts.
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Expert View
Snowflake World Tour Paris 2026: agentic AI in production
The fifth Paris edition of the Snowflake World Tour took place on 15 October 2026 at the Palais des Congrès. Its keynote marked a change…
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Expert View
Data Security: Do you know where your most sensitive data is today?
AI Agent Handbook Banner Cybersecurity Awareness Month 2026 9 Security Questions Every Organisation Should Be Asking This article is part of the Cybersecurity Awareness Month…
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Expert View
How to Build Dynamic Period-over-Period Reporting in Looker
Every data team using Looker eventually collides with the Period-over-Period (PoP) problem: business users need to compare current performance against past performance, whether that’s week-over-week…
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Expert View
How We Automated 90% of a Dataiku-to-Snowflake Migration
We rewrote almost no PySpark. Here’s the full storyA field report on migrating dozens of use cases – Dataiku DSS flows & Jupyter/PySpark notebooks –…
FAQs
They stop short of measurable P&L impact. MIT NANDA found in 2025 that 95% of enterprise generative AI pilots never get there. The blockers are usually basic: unclear ambition, no owner and ungoverned data. Fixing those first means every use case after it moves faster.
Yes. Every agent, every model and every decision runs on your data. IBM’s 2025 CEO Study found 50% of CEOs say rapid technology investment left them with disconnected systems their AI cannot read across. Governed, catalogued data comes before scaling any use case.
Industry benchmarks from Gartner, Forrester and other analysts put 60 to 80% of data engineering time into maintaining legacy platforms rather than building new capability. For a typical enterprise estate that is €2M to €5M a year in upkeep, supporting zero native AI use cases.
Migrate first. We move your legacy databases and EDW onto an AI-native platform with a lift and adjust approach, then modernise on a stable platform. You get a validated migration plan, target architecture and TCO case before anything moves, and legacy switched off without business disruption.
Because reaching the insight still needs an analyst. Devoteam analysis, based on McKinsey information-search benchmarks of 9.3 hours a week and IDC knowledge-worker productivity data, puts this at 75 to 80% of employees. A semantic layer plus agents closes that last mile.
Through a control plane that tracks accuracy, adoption and credit consumption in production, alongside the governance and change management that keep people using it. Agents run in three tiers across your domains: daily operations, advanced analysis and CxO intelligence, all on one shared business ontology.
Devoteam is top tier across AWS, Google Cloud, Microsoft and ServiceNow, with Snowflake and Databricks as data specialists and NVIDIA on the AI side. Anthropic and Mistral AI partnerships are in progress. Platform choice follows your workload, and 2,200+ platform certifications sit behind the recommendation.
Your team sits in your country and works in your language. Behind them is the wider network: 1,000+ data and AI specialists, one delivery method and shared accelerators from Devoteam and our partners. Tooling and methodology are handed over at the end, so your team runs it.
Sources: 95% of enterprise generative AI pilots, MIT NANDA (2025); 50% of CEOs, IBM CEO Study (2025); 75 to 80% of employees, Devoteam analysis based on McKinsey and IDC data; €2M to €5M a year and 60 to 80% of data engineering time, industry benchmarks from Gartner, Forrester and other analysts.
