Services Built for an Intelligence-First World

From sovereign cloud infrastructure to production-grade AI systems, ATOS IA & Performance designs and operates digital capabilities that give organizations a durable competitive edge — without trading control for speed.

Abstract visualization of AI analytics pipelines and data flows
Accelerating Intelligence
From data to decision in days, not quarters

AI & Advanced Analytics

We turn raw organizational data into production-grade intelligence — designing, training, and operationalizing AI systems that drive measurable outcomes across the enterprise.

Whether you are at the exploratory stage or scaling models across business units, our teams embed directly into your engineering and data functions. We combine deep machine-learning expertise with a disciplined understanding of regulated-industry constraints, ensuring that every model we build is explainable, auditable, and aligned with evolving AI governance standards.

  • Machine learning model design, training, validation, and production deployment
  • Natural language processing and large language model (LLM) integration — on-premise and cloud-hosted
  • Real-time data pipeline architecture and feature-store engineering
  • AI performance monitoring, drift detection, and continuous retraining workflows
  • Responsible-AI frameworks: bias audits, explainability reports, and model governance documentation
  • Executive-ready analytics dashboards and self-serve BI platforms tailored to business roles

Business OutcomeOrganizations that work with us typically reduce manual decision latency by 60–80%, surface revenue-generating insights weeks earlier than legacy BI cycles allow, and enter new AI governance audits already compliant — avoiding costly retrofits.

Sovereign Cloud & Trusted Infrastructure

Data sovereignty is no longer a compliance checkbox — it is a strategic advantage. ATOS IA & Performance operates a Sovereign Cloud platform conceived, designed, and engineered entirely within the EU regulatory perimeter, giving clients full visibility and control over where their data lives, who processes it, and under which legal framework.

Recognized by SAP as an official Sovereign Cloud Partner, our infrastructure is purpose-built to support regulated industries — financial services, healthcare, public sector, and defense-adjacent organizations — where data residency and auditability are non-negotiable.

Discuss Your Sovereignty Requirements

EU-Engineered Infrastructure

All compute, storage, and networking assets are located and operated within EU jurisdictions, meeting GDPR and sector-specific data-residency mandates.

Zero-Trust Access Controls

Identity-aware perimeter, hardware security modules, and end-to-end encryption ensure that no unauthorized party — including cloud operators — can access tenant workloads.

Trusted Modernization Platform

Lift legacy workloads to a compliant, modern cloud without re-architecting from scratch — our migration methodology preserves application logic while eliminating technical debt.

SAP Sovereign Cloud Partner

Formally designated by SAP to deliver SAP workloads on sovereign infrastructure, meeting the most rigorous enterprise-grade compliance standards available in the market.

Cybersecurity control room — threat monitoring dashboards
Cybersecurity in the Age of AI
Control, trust and accountability at scale

Digital Security & Cyber Resilience

Cyber threats are evolving faster than traditional security playbooks can handle. Our security practice applies AI-driven threat intelligence to provide real-time detection, rapid containment, and organization-wide resilience at a scale that purely human operations cannot achieve.

We partner with CrowdStrike through Project QuiltWorks to advance sovereign AI adoption and secure frontier AI risk — combining endpoint intelligence with our own sovereign infrastructure to ensure threat response never crosses a data-sovereignty boundary. Our Digital Security practice is documented in depth in the ATOS Digital Security Magazine, a reference guide distributed to CISOs, risk officers, and board-level security advisors globally.

  • AI-powered Security Operations Center (SOC) — 24/7 monitoring with sub-minute threat detection
  • Sovereign AI risk assessments and frontier AI threat-modelling for organizations deploying LLMs
  • Zero-trust network architecture design and implementation
  • Identity and access management (IAM) — privileged access, MFA orchestration, and federation
  • Penetration testing, red-team exercises, and vulnerability management programs
  • Incident response retainer services and post-incident forensics
  • Regulatory compliance mapping: NIS2, DORA, ISO/IEC 27001, and sector-specific frameworks

Business OutcomeClients operating under our managed security umbrella demonstrate measurably faster mean-time-to-detect (MTTD) and mean-time-to-respond (MTTR), while also arriving at NIS2 and DORA audits with pre-mapped controls — substantially reducing remediation spend and audit preparation time.

SAP Services & Integration — Named Best in Class

Recognized across multiple categories in the 2026 PAC RADAR Evaluation of SAP Service Providers, our SAP practice covers end-to-end implementation, cloud migration, S/4HANA transformation, and the full ecosystem of SAP BTP extensions — all delivered on compliant infrastructure where sovereignty is guaranteed by design.

Explore SAP Capabilities
SAP integration architecture — enterprise data flows and system connectors
Best in Class · PAC RADAR 2026
Multiple categories — SAP Service Providers

SAP Transformation & Enterprise Integration

From greenfield S/4HANA implementations to complex heterogeneous landscape migrations, our SAP team manages the full lifecycle of ERP modernization — with every workload deployable on our EU-sovereign infrastructure.

Our formal SAP Sovereign Cloud Partner designation is not a marketing credential — it reflects a rigorous technical and legal audit covering infrastructure isolation, data-residency controls, and operational practices. For clients in regulated sectors, this designation is often the deciding factor that makes a SAP modernization project compliant by default rather than by retrospective effort.

  • SAP S/4HANA greenfield, brownfield, and selective data transition projects
  • SAP Business Technology Platform (BTP) — extensions, integrations, and custom application development
  • SAP SuccessFactors, Ariba, and Concur implementation and optimization
  • SAP on Sovereign Cloud — hosted within EU boundaries with full regulatory auditability
  • Application Lifecycle Management (ALM): testing, release management, and hypercare support
  • Finance and supply-chain process redesign aligned with SAP Best Practices

Business OutcomeOrganizations that have completed SAP migrations with our team report faster time-to-value versus industry benchmarks, reduced integration rework due to our pre-validated sovereign architecture, and a streamlined audit posture for GDPR, DORA, and sector regulators from day one of go-live.

Modern digital workplace — collaborative tools and employee experience platforms
Barcelona City Council
New digital service model for 20,000+ employees

Digital Workplace & Employee Experience

A modern workforce expects digital tools that are intuitive, secure, and available anywhere. We design and operate employee-facing digital environments that improve productivity without increasing risk — an approach we are currently deploying for Barcelona City Council and its 20,000-plus employees.

Our digital workplace practice bridges IT, HR, and change management — we do not just install software. We redesign the service model around how employees actually work, then instrument the environment so adoption and satisfaction can be measured continuously. The result is a workplace that feels as consumer-grade as personal technology while meeting the security and compliance expectations of large enterprises and public institutions.

  • End-user computing strategy: device lifecycle, virtual desktops, and BYOD governance
  • Microsoft 365, Google Workspace, and custom intranet environments — design, migration, and adoption
  • AI-powered employee service desk — intelligent triage, automated resolution, and escalation routing
  • Collaboration platform integration: unified communications, video, and secure file exchange
  • Digital experience monitoring (DEX) — real-time endpoint telemetry and satisfaction scoring
  • Change management, digital adoption programs, and role-based training curricula

Business OutcomeClients consistently see a double-digit reduction in IT service desk ticket volume within six months of deployment — alongside measurable improvements in employee satisfaction scores — because our model resolves the root causes of friction rather than just responding to incidents as they arise.

Managed services operations center — infrastructure monitoring and orchestration
Special Olympics USA 2026
Critical digital & competition services — delivered flawlessly

Managed & Mission-Critical Services

When performance cannot be compromised — whether you are running a municipal government, a global financial institution, or a world-class sporting event — our managed services practice delivers the operational certainty that complex digital environments demand.

We proudly supported the 2026 Special Olympics USA Games through critical digital and competition services, providing the real-time scoring, broadcast data, and athlete-management infrastructure that powered the event for over 5,500 athletes and millions of spectators. This kind of mission-critical delivery is the benchmark we apply to every client engagement, regardless of scale.

  • Infrastructure operations: on-premise, hybrid, and multi-cloud environments under unified SLAs
  • Application management services — monitoring, patching, tuning, and lifecycle ownership
  • Capacity planning and cost optimization: FinOps-driven cloud spend governance
  • High-availability architecture design with tested failover and business continuity runbooks
  • Event-driven and time-critical service delivery for large-scale operations and launches
  • Dedicated account engineering teams embedded as an extension of the client's own operations

Business OutcomeClients under our managed services umbrella consistently exceed their availability SLAs, reduce unplanned downtime incidents, and free internal IT leaders to focus on innovation rather than incident management — a shift that compounds in value as digital complexity grows.

Deep Sector Knowledge Across Industries

Our capabilities are not horizontal commodities — they are shaped by the regulatory, operational, and competitive realities of the industries we serve most deeply.

Public Sector & Government

Sovereign infrastructure, citizen-service transformation, and compliance with public procurement mandates — including active engagements at the city-council level.

Financial Services

DORA-ready managed services, AI-driven risk modelling, and SAP Finance implementations designed for the strictest regulatory environments in the industry.

Healthcare & Life Sciences

Data-residency-compliant analytics, clinical AI, and secure patient-data infrastructure that meets GDPR, HDS, and national health-data governance requirements.

Manufacturing & Industry

Industrial IoT data pipelines, predictive maintenance models, and SAP S/4HANA supply-chain transformations for discrete and process manufacturers.

Telecommunications

Network analytics, customer-churn AI, and BSS/OSS modernization — delivered at carrier grade with the SLA rigor the sector demands.

Transport & Logistics

Real-time fleet intelligence, demand forecasting models, and resilient managed infrastructure for organizations where every minute of downtime has a direct commercial cost.

Retail & Consumer

Personalization engines, inventory optimization AI, and omnichannel integration — helping retailers compete on insight speed in a market where data velocity is the differentiator.

Non-Profit & Events

Mission-critical digital services for large-scale events and non-profit operations — from athlete-management platforms to real-time scoring infrastructure deployed at the world stage.

How Our Delivery Model Adapts to You

No two organizations face the same starting point. We offer three engagement structures — Project, Managed Service, and Strategic Partnership — each calibrated to a different maturity level, risk appetite, and internal capability profile.

Engagement Model Best Suited For Scope & Duration AI Integration Sovereign Cloud Available
Project Delivery Defined transformation objectives with clear start and end dates — migrations, implementations, platform builds 4 weeks to 18 months; fixed or time-and-materials   Optional   Available
Managed Service Organizations seeking operational certainty and SLA accountability without scaling an internal ops team Ongoing; typically 1–3 year agreements with quarterly service reviews   Included   Included
Strategic Partnership Enterprise clients pursuing multi-year digital transformation programs across technology, people, and process simultaneously Multi-year; joint roadmap, dedicated account engineering, co-investment options   Deep integration   Included
Advisory & Assessment Leadership teams that need an independent, expert view before committing to a technology or vendor direction 2 to 8 weeks; deliverable-based — roadmap, gap analysis, or architecture blueprint   Scoped to need   Scoped to need

The Principles Behind Our Practice

Every engagement we take on is shaped by six operating principles that distinguish us from both large generalist integrators and narrow-focus boutiques.

Intelligence by Design, Not Retrofit

We architect AI into systems from the foundation — not as an afterthought bolted onto legacy infrastructure. This means fewer integration failures, faster time-to-value, and models that remain accurate as conditions change.

Sovereignty Without Compromise

Our EU-sovereign infrastructure and formal SAP Sovereign Cloud Partner status mean that global reach and local compliance coexist — you gain access to world-class technology without surrendering control of your most sensitive data.

Mission-Critical Proven

We have delivered under conditions that leave no margin for error — international sporting events, city-scale public services, and regulated financial systems. That operating discipline flows into every client engagement.

Ecosystem Partnerships That Matter

Our alliances with SAP, CrowdStrike, and other category-leading technology vendors are not logo relationships — they are deep technical integrations that give clients access to capabilities, roadmap input, and support escalation paths that smaller providers cannot offer.

Industry-Shaped Delivery

We reject horizontal solutions applied generically. Our delivery teams bring sector-specific frameworks, pre-validated compliance mappings, and domain expertise that meaningfully compress project risk and elapsed time.

Outcomes Measured, Not Assumed

We define success metrics before we start work — operational KPIs, financial impact targets, and adoption benchmarks — and we report against them throughout the engagement. If a measure moves, we respond. No surprises at the final review.

Common Questions About Our Services

We have gathered the questions that arise most frequently during initial client conversations. If yours is not here, our team is available by phone or email — see our Contact page.

Ask Our Team
Do you work with organizations that are just beginning their AI journey, or only with those already at scale?
We work across the full maturity spectrum. For organizations at the beginning of the journey, we typically start with an AI Readiness Assessment — a structured engagement that maps current data assets, identifies high-value use cases, and produces a prioritized roadmap. For organizations with existing AI programs, we focus on scaling, governance, and performance improvement. Either way, we meet you where you are.
What makes your Sovereign Cloud offering different from simply hosting on a hyperscaler in an EU region?
The distinction matters legally and operationally. Major hyperscalers — even when hosting in EU data centers — remain subject to their home-jurisdiction laws, meaning data can potentially be compelled by foreign authorities. Our sovereign infrastructure is designed, operated, and governed entirely within EU legal frameworks, with contractual guarantees and audit rights that hyperscalers do not offer. This is why we hold a formal SAP Sovereign Cloud Partner designation, which requires us to meet a rigorous independent verification standard.
How do you approach AI model governance and the new regulatory requirements around AI in Europe?
AI governance is embedded in our delivery process, not added at the end. We apply a responsible-AI framework from the design phase — documenting model purpose, training data lineage, bias testing methodology, and explainability thresholds. We align this work to the EU AI Act risk classifications, ensuring that high-risk AI applications are handled with the appropriate conformity assessment procedures. Clients receive a governance dossier as a standard deliverable for every production model we deploy.
Can you take over management of an environment that was built by another provider?
Yes, and this is a common entry point for new managed service clients. We begin with a structured discovery phase — typically three to five weeks — during which our engineers document the existing architecture, identify risks and technical debt, and produce a handover assessment. We then propose a transition plan that maintains service continuity throughout. We have successfully transitioned environments from a wide range of incumbent providers, including both large integrators and niche specialists.
Do you work with public-sector and government clients, and how do you handle procurement requirements?
Public sector is one of our strongest verticals. We are familiar with the procurement frameworks operating across multiple European markets and have experience navigating open tenders, framework agreements, and direct award procedures where applicable. Our Barcelona City Council engagement is one example of an active public-sector program where we are redesigning digital services for a large municipal workforce. We are happy to discuss specific procurement circumstances in a direct conversation with our team.
What does a typical engagement look like from the first conversation to production deployment?
Most engagements follow four phases: Discovery (understanding your current state, constraints, and ambitions), Design (architecture, technology selection, and milestone planning), Delivery (build, test, and controlled rollout), and Operate (ongoing managed service or hypercare transition back to your team). The elapsed time depends heavily on scope — a focused AI use case can reach production in eight to twelve weeks; a full SAP S/4HANA transformation will span twelve to twenty-four months. We share a realistic timeline estimate at the end of Discovery, before any significant commitment is made by either party.

Let's Build Something That Performs

Whether you need a focused AI model, a compliant sovereign infrastructure, or a multi-year digital transformation partner, the conversation starts the same way — with an honest assessment of where you are today and where the opportunity lies. No pre-packaged pitches. No generic proposals.