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Case Study
Atos

Engineering Capability Building for Software and DevOps Teams

Edacy partnered with Atos to strengthen software engineering and DevOps teams across West and Central Africa, building the technical foundations for AI-ready enterprise operations through hands-on, project-based delivery.

Software EngineersDevOps EngineersWest & Central AfricaIT Services & Digital Transformation

At a Glance

Building AI-ready engineering teams

Atos is one of the world's leading digital services companies, with deep roots in Africa spanning over 70 years and a growing operational footprint across West and Central Africa, including Senegal and Côte d'Ivoire. As the enterprise technology landscape shifts toward AI-first delivery, Atos recognized a gap in their regional engineering teams that needed to be addressed through practical, hands-on capability building.

2 Teams

Software Engineers & DevOps Engineers

70+ Years

Atos presence across Africa

Project-Based

Learning in the flow of work

Zero Disruption

To active client delivery

The Challenge

Strengthening engineering capability without disrupting delivery

As the enterprise technology landscape shifts toward AI-first delivery, Atos recognized a gap in their regional engineering teams. Software engineers and DevOps engineers needed stronger technical foundations. Not just to maintain current delivery standards, but to be ready for the AI-native systems and infrastructure their clients would increasingly demand.

The challenge was specific: how to meaningfully strengthen engineering and DevOps capability across distributed teams in West and Central Africa, without pulling people off active client work, and without defaulting to generic training programs that rarely translate into measurable skill improvement.

Key Constraints

Engineers could not be pulled off active client delivery

Generic training programs rarely translate to measurable skill improvement

Distributed teams across multiple countries in West and Central Africa

Need to prepare for AI-native systems and infrastructure demands

Why Edacy

A model built for working teams

Atos chose Edacy because the model addressed what traditional training could not: building practical, lasting skills inside working teams.

Learning in the flow of work

Atos engineers could not step away from client delivery for extended classroom training. Edacy's approach embedded capability building into hands-on project work, so engineers improved their skills while continuing to deliver.

Structured for enterprise standards

Atos operates with rigorous delivery discipline. Edacy's structured sprint cadence, code reviews with detailed teaching feedback, and regular technical checkpoints matched the governance and quality standards Atos already expected.

Regional presence and understanding

Edacy's established presence across West and Central Africa, and its understanding of the local engineering talent landscape, meant faster alignment, smoother collaboration, and delivery adapted to the teams on the ground.

The Engagement

Two teams. One structured approach to capability building

Edacy worked with two distinct engineering groups across Atos's West and Central Africa operations.

01

Software Engineering Teams

Strengthening core software engineering practices

Focus Areas

Modern architecture patterns
API design
Code quality & testing discipline
Foundational skills for AI integration

How It Worked

Engineers worked through guided, project-based sprints tied to project deliverables. A dedicated Edacy technical coach reviewed code with detailed, instructive feedback not just approvals, but explanations that built understanding. Live sessions reinforced key concepts using the team's own codebase and tooling.

02

DevOps Engineering Teams

Modernizing infrastructure and operations practices

Focus Areas

CI/CD pipeline design
Containerization & infrastructure automation
Monitoring & observability
Governance frameworks for AI-ready workloads

How It Worked

DevOps engineers worked through structured sprints focused on building and improving production infrastructure. Sessions covered modern deployment practices, automated pipelines, observability, and governance frameworks, all taught in the context of Atos's own infrastructure standards.

Across Both Teams

Regular technical reviews assessed what was built, evaluating architecture decisions, code quality, and team progress. Feedback was direct and constructive, with deeper teaching on concepts teams found challenging. Sprint plans were adjusted continuously to match evolving priorities and skill gaps.

The Outcomes

Proven capability. Measurable impact.

Stronger engineering foundations

Engineers completed the engagement with measurably stronger technical skills, validated through production-quality deliverables, code review progression, and hands-on project delivery. Software engineers wrote better-architected, more maintainable code. DevOps engineers built more robust, automated infrastructure.

AI-ready teams

By strengthening core engineering and DevOps fundamentals, Atos's regional teams are now better positioned to adopt AI tools, integrate ML capabilities, and support AI-native workloads: the natural next step after solid technical foundations are in place.

No disruption to client delivery

The project-based model allowed Atos to build capability within teams that were actively serving clients. Skill development happened in the rhythm of work, not instead of it.

Internal multipliers

Engineers who went through the engagement became knowledge carriers within the organization, able to raise standards, mentor peers, and contribute to more ambitious technical initiatives across the region.

“Edacy gave us a practical way to strengthen our engineering teams without pulling them off delivery. The skills stuck because the learning was tied to the work itself.”

Mamadou N., Engineering Leadership, Atos West & Central Africa

Engagement Summary

ClientAtos
IndustryIT Services & Digital Transformation
TeamsSoftware Engineers, DevOps Engineers
Focus AreasSoftware architecture, DevOps modernization, AI-readiness foundations
ModelHands-on, project-based capability building with structured reviews
RegionWest & Central Africa

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