Build the AI products you need next. Modernize the software you already depend on.

To become AI-native, engineering companies must embed AI into both their software products and the workflows used to create, operate and improve them. Digital Product Software enables this across software products and shared platforms, as well as the software underpinning design, simulation, testing, manufacturing, maintenance and in-service support.

We help organizations create new AI-native products, add intelligence to established software, and modernize, deploy and sustain existing digital product portfolios.

Across the product lifecycle, this helps organizations create new revenue streams, bring ideas to market faster, keep established products competitive and maximize the value of mature portfolios.

Moving from AI experimentation to AI-native engineering

Nearly 80% of organizations have introduced generative AI into engineering environments, yet few achieve meaningful business impact. Yet it often remains confined to disconnected tools and pilots.

Becoming AI-native means embedding AI across new and existing products and engineering workflows – without disrupting established products or customers. Organizations must overcome legacy systems, technical debt, fragmented data and knowledge, and disconnected toolchains for AI to operate at scale, while current products remain secure and available.

That requires a connected engineering model spanning the complete product lifecycle.

Our approach

Capgemini Engineering provides the full suite of software product engineering, AI expertise, ecosystem partnerships and industrialized delivery needed to introduce AI at scale, whilst continuing to support and modernize existing products or operations.

Our proprietary RAISE for Software Product X applies AI-native product engineering to transform business knowledge, domain expertise and product intent into production-ready software, accelerating product creation, modernization and continuous evolution – all aligned through a shared blueprint. Learn more

AI Product Factory

We create new digital and AI-native products, validate ideas and scale successful concepts. AI-powered engineering and reusable foundations reduce development costs, making custom software a stronger alternative to buying standardized products.

We embed collaborating AI agents across requirements, design, coding, testing, deployment, operations and maintenance. Engineers retain control of decisions and outcomes while AI coordinates complex and repeatable workflows, accelerating delivery, improving quality and reducing costs. Built-in governance, traceability, compliance and sovereignty support trusted, auditable software engineering.

We transform legacy software into modern, AI-ready products without disrupting active operations. Agentic AI and automation help reduce technical debt, modernize architectures and embed new capabilities with less cost and risk.

We turn code, documentation, data and engineering expertise into reliable context for AI. Structured knowledge, ontologies, retrieval systems and feedback loops improve accuracy across product creation, development, modernization and support.

We use AI and automation to monitor, maintain and continuously improve products after release. This reduces support effort, improves reliability, security and customer experience, and extends product life or prepares it for relaunch.