Data and AI foundations in strategy

Strategy-led. Insights-driven. Built for scale.

Building AI at scale starts with strategy, not technology.  It requires a clear understanding of enterprise data as a strategic asset – how it enables decision-making, aligns to business priorities, and supports long-term value creation.  

Capgemini’s 2026 research on AI and decision-making highlights that organizations that embed AI into strategic and operational decisions – supported by trusted data foundations – are significantly better positioned to move from isolated experimentation to enterprise-wide impact. 

Organizations across the globe have started out, or are looking to start out, on their journey to design, build, and scale AI strategies that deliver real business impact – now, and in the future. But this impact cannot be achieved standalone. At the core of such a journey are robust enterprise data and AI foundations that are trusted, well-governed, and aligned to business objectives.  

With the right strategy, operating model, and data backbone in place, organizations can unlock the full potential of advanced analytics and AI, where AI, Gen AI, and agentic AI deliver the greatest impact, and build the capabilities needed to sustain it.  

Capgemini RAISE™ – Reliable AI solution engineering

A next-gen enterprise AI foundation and suite of best-of-breed, modular assets–built to scale AI, accelerate adoption, and drive business value through Gen AI and agentic capabilities.

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How we can help

Our data and AI experts help organizations shape a business-led AI vision and strategic roadmap with: 

A clear AI vision anchored in business outcomes 

Define how AI, Gen AI, and agentic AI support enterprise decision-making, competitive advantage, and long-term growth. 

Strategic prioritization of AI investments 

Move from experimentation to transformation by focusing on the highest-value use cases with a clear path to scale. 

Enterprise-grade data and AI foundations 

Establish the infrastructure, governance, and data quality required to support trusted, responsible, and scalable AI. 

Sustained value through aligned operating models

Enable collaboration across business, IT, and data teams to embed AI into everyday decisions and operations.  

Research and insights

Capgemini Research Institute

The multi-year AI advantage: Building the enterprise of tomorrow

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Research brief

Inside the C-suite: How AI is quietly reshaping executive decisions

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A Leader and a Star Performer in Everest Group

Everest Group’s AI and Generative AI Services PEAK Matrix® Assessment 2025 

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Meet our experts

Franck Greverie

Franck Greverie

Chief Technology & Portfolio Officer, Leadership Global Business Lines, Group Executive Board Member
Franck was appointed Chief Portfolio Officer in 2018, responsible for leading the portfolio of offers and product management, and orchestrating the Centers of Excellence to drive Capgemini’s growth by packaging, launching and enabling innovative service offerings. He also leads technology management and innovation, including innovation labs, client innovation programs, and ventures. He oversees 6 Business Lines worldwide, and has been a member of the Group Executive Board since 2020.
Sergey Patsko

Sergey Patsko

Data & AI for Intelligent Industry leader ​
I partner with my clients to drive Digital Transformation through Data & Artificial Intelligence: facilitate digital strategy sessions, design thinking workshops, Data Science use cases scoping, and road-mapping. We collaborate to establish enterprise-wide AI Centers of Exellence, AI Trust framework, ways to built and deploy Machine Learning applications in production, at scale. I also run Business of AI training for CxOs.