Group Industrialization

Value, effectiveness and efficiency by Group Industrialization

Group Industrialization is a key group function, closely interlocked with business lines, that supports the business in improving its efficiency, effectiveness, and value, with the “power of one Capgemini” as motto to drive its action.

To create synergies, “One Capgemini investments” is a common initiative to deliver industrialized assets and services.

One Capgemini investments focus on five key areas:

Augmented delivery – Delivery services augmented by Gen AI
IT operations – Infra & apps platform & managed service
Software engineering – Unified framework for software development
Generative AI common foundations – Global platform, technologies, learning path, use cases for Gen AI
Sustainability common foundations – Global platform, technologies, learning path, use cases for sustainability

Whether you’re a client, partner, or Capgemini team member, Group Industrialization invites you to explore how our industrialized approach can unlock new levels of agility, scalability, and transformation.

Let’s talk about your current struggle and needs!

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Explore our industrialized assets and services

Gen AI amplifier for software and quality engineering

Quality reimagined with Gen AI amplifier for software and quality engineering

Accelerate quality transformation with Gen AI-powered automation, insights, and engineering. This solution enhances test coverage, speeds up defect detection, and boosts productivity—redefining software quality for the AI era.

Enterprise automation fabric

Enterprise automation fabric – scalable, insight-driven automation

Enterprise automation fabric is Capgemini’s intelligent automation backbone that seamlessly connects infrastructure, applications, and operations. It delivers scalable, insight-driven automation to accelerate transformation, reduce operational costs, and enhance agility. With plug-and-play flexibility, EAF empowers enterprises to automate at scale and unlock measurable business value.

SAP business assurance

SAP business assurance – speed, trust and quality for SAP transformations

Sogeti’s SAP business assurance helps organizations accelerate and de-risk their SAP S/4HANA transformations. Powered by Gen AI and intelligent automation, it ensures end-to-end quality engineering across complex SAP landscapes. From early validation to continuous testing, it improves speed, reduces cost, and builds trust in every release—empowering businesses to deliver with confidence and agility.

Reliable AI solution engineering (RAISE) by Capgemini

Capgemini RAISE™ – Gen AI operational accelerator

Capgemini RAISE™ is a modular, enterprise-grade Gen AI platform designed to help clients scale AI adoption with trust, cost-efficiency, and speed. It addresses key challenges like LLM cost control, fragmented development, and trust by offering a unified toolkit for industrialized Gen AI deployment.

Sustainability data hub by Capgemini

Sustainability data hub – trusted data for transparent impact

Sustainability data hub empowers organizations to take control of their sustainability data in a single, secure, and trusted environment. It accelerates carbon footprint reporting and unlocks actionable insights to drive efficiency, revenue, and compliance.
With built-in governance, automation, and predictive capabilities, it transforms sustainability data into a strategic asset—supporting transparency, reducing risk, and enabling scalable, sustainable transformation.

Industrialized data and AI engineering acceleration (IDEA) by Capgemini

Reimagine your data-powered enterprise with
IDEA by Capgemini

Transforms fragmented data into a strategic asset using customizable, production-ready modules. It accelerates data modernization, improves data quality, and lays the foundation for a scalable, AI-powered enterprise. It empowers organizations to move from siloed data to intelligent, connected ecosystems that transforms data to scalable intelligence.
With IDEA, you gain the agility and trust needed to lead in a data-driven world.

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