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.

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.  

A Leader and a Star Performer in Everest Group

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

Meet our experts

Caroline Wilhelmsen

Caroline Wilhelmsen

Vice President – Head of Insights and Data Norway, Capgemini
Caroline is an experienced project manager with a burning commitment to digital and innovative solutions to streamline and improve. She is process-oriented, analytical, and innovative with a genuine commitment to getting people and teams to perform in the best possible way. Today Caroline leads a unit of 140 consultants where they assist customers with how they can become more data- and insight-driven.
Alexander Fritsch

Alexander Fritsch

Vice President at Capgemini Invent Sweden-Finland
With 25+ years of experience, Alexander Fritch is Vice President at Capgemini Invent Sweden and Finland. He is an experienced project, program, and business unit manager with extensive knowledge of digital, data & analytics strategy, transformation and service delivery across CRM and much more.