Skip to Content

Reshape your future with AI

Artificial intelligence (AI) is ushering in a new era of unprecedented transformation, unleashing waves of opportunity across industries and within society. 

At the heart of this shift is a new human-AI chemistry, a mutual understanding and deep alignment that enables hybrid teams to thrive and deliver the technology’s full potential across the sliding scale of machine learning, generative AI, and agentic AI. 

The rise of these intelligent value chains and integrated ecosystems is the defining transformation of our time. Learn how to make it part of your future. 

AI and Gen AI in business operations - banner

AI in action

How organizations can leverage Gen AI and agentic AI systems to unlock ROI and efficiency through AI-driven business operations across supply chain, finance, customer service, and people operations.

Capgemini Research Institute
Read our report

    Unleashing customer service transformation

    Learn how organizations can revolutionize customer service by embracing the powerful capabilities of Generative and Agentic AI to drive purchases, encourage loyalty, and shape brand perception. 

    Capgemini Research Institute
    Read our report

      Agentic AI

      Report

      Multi-agent AI – the 21st century automation revolution

      Agentic AI is transforming the way businesses operate by leveraging multi-agent AI systems to enhance productivity, efficiency, and customer engagement.

      By adopting agentic AI, businesses can elevate their operational efficiency with AI agents collaborating with humans and boost growth with AI agents acting as knowledge and capability multipliers for teams to deliver more value.

      Discover in this piece, how agentic ecosystem works, how to best implement agentic AI architecture, whatever the industries or domains, and how to ensure the right governance, guardrails and responsibility are in place.

      Client story

      The next industrial revolution

      Multi-agent systems and small Gen AI models are transforming factories

      Expert perspective

      AI agents and agentic workflows

      Experts are highlighting the immense potential of these advancements.

      Expert perspective

      From innovation to transformation

      How AI agents are shaping the future of work.

      Generative AI

      Report

      Gen AI in software

      Capgemini Research Institute’s report, Turbocharging software with Gen AI, explores the benefits and opportunities that generative AI brings to software engineering.

      Drawing insights from a survey of 1,000 senior executives and 1,000 software professionals across organizations with annual revenues exceeding $1 billion, this report takes a look at the present and future impact of generative AI.

      Report

      AI-powered cybersecurity for telecoms

      Gain a deeper understanding of how telecom companies are using AI and Gen AI to address these rising cybersecurity risks with our report.

      Report

      Conversations for Tomorrow: Generative AI

      Generative AI (Gen AI) is reshaping organizational structures and driving transformations within businesses.

      Point of view

      Consumers and the generative AI effect

      Highlights from a major study into the penetration of GenAI in the consumer products industry and the response from consumers.

      Generative AI in organizations

      Lessons from executives surveyed in the Capgemini Research Institute report

      Organizations view Gen AI not as a disruptor, but as an accelerator

      74% of organizations think Gen AI is a transformative technology that will help us drive revenue and innovation.
      The next few years will see an uptake in adoption of AI agents

      82% of organizations plan to integrate them within 1-3 years, trusting them for tasks like email generation, coding, and data analysis

      Read the report

      AI for good

      Client story

      Enabling evidence-based education decision-making with agentic AI

      We team up with UNESCO and AWS for the 7th edition of the Global Data Science Challenge.

      The objective is to develop an agentic Gen AI system that can empower countries to make informed, evidence-based policy decisions to enhance foundational learning outcomes.

      Expert perspective

      AI meets ethics: Making tech work for everyone

      The choices we make with AI now will affect our future a lot. It’s not just about smart machines, but about making sure they fit our values.

      Inside story

      Using AI to save endangered buffalo in Canada

      Working with a group of Indigenous elders, knowledge keepers, and trappers, we have been using data and AI to map the impacts of wildfire and logging activity on critical wood buffalo habitat across Northern Alberta, Canada.

      Report

      Connected health research

      The Capgemini Research Institute’s report, The connected health revolution, reveals the unprecedented opportunities that arise from connected health.

      How knowledge graphs can improve Gen AI output

      Validating results builds trust for organizations.

      Read the perspective

      Applied AI

      Client story

      Eneco eMobility supercharges its customer care with generative AI

      As a fast-growing company, Eneco eMobililty was facing increasing pressure on customer service and was looking for a solution that could help serve its customers better, faster, and cheaper.

      Working with Capgemini, the charging services provider boosted agent productivity and enhanced the client service experience by introducing Dynamics 365 Contact Center – a Copilot-first cloud contact center, powered by Gen AI.

      Point of view

      Enhancing life sciences research with Gen AI

      Use cases are showing how applying Gen AI can augment research in the life sciences industry – accelerating time to market, reducing costs, and improving patient outcomes. 

      Playbook

      Unleashing confidence in AI

      Drawing from the insights of 11 Capgemini experts, the Capgemini Generative AI Lab’s playbook delves into the appropriate application of AI, bridging the gap between its promise and practicality. 

      Point of view

      Embracing AI-powered behavioral finance

      How banks can mitigate emotional investing by infusing intelligence to hyper-personalize portfolios and experiences for attracting and retaining key clients.

      Trusted AI

      In a world where 50 percent of business or organizational decisions could be taken by AI, companies must work hard to build trust.

      Learn more

      The trusted AI orchestra

      Building trust in an AI agent world

      Meet our experts

      Daniela Rittmeier

      Head of Data and AI Center of Excellence in Germany
      Daniela is the head of Data & AI Center of Excellence. The last decade she was part of a global leading premium OEM and responsible for the corporate AI strategy. She was driving the integration of Artificial Intelligence technologies, leading the AI Hub of the Center of Excellence, incl. a portfolio of ~600 data driven use cases along the entire value chain. As thought leader she is focusing on data value creation and sustainable human centric solutions. Daniela is committed to empower Women in Tech, Coding for kids and the digital sovereignty of society.
      Robert-Engels

      Robert Engels

      CTIO, Head of AI Futures Lab
      Robert is an innovation lead and a thought leader in several sectors and regions, and holds the position of Chief Technology Officer for Northern and Central Europe in our Insights & Data Global Business Line. Based in Norway, he is a known lecturer, public speaker, and panel moderator. Robert holds a PhD in artificial intelligence from the Technical University of Karlsruhe (KIT), Germany.

      Itziar Goicoechea

      Agentic AI for Enterprise Offer Leader
      Itziar has more than 15 years of international experience as a tech and data leader, specializing in data science and machine learning within the e-commerce, technology, and pharmaceutical sectors. Before joining Capgemini, she was Director of Data Science and Machine Learning at Adidas in Amsterdam, leading a global team focused on AI solutions for personalization, demand forecasting, and price optimization. Itziar holds a PhD in Computational Physics.

      Mark Oost

      AI, Analytics, Agents Global Leader
      Prior to joining Capgemini, Mark was the CTO of AI and Analytics at Sogeti Global, where he developed the AI portfolio and strategy. Before that, he worked as a Practice Lead for Data Science and AI at Sogeti Netherlands, where he started the Data Science team, and as a Lead Data Scientist at Teradata and Experian. Throughout his career, Mark has worked with clients from various markets around the world and has used AI, deep learning, and machine learning technologies to solve complex problems.

      Dr Mark Roberts

      CTO Applied Sciences, Capgemini Engineering and Deputy Director, Capgemini AI Futures Lab
      Mark Roberts is a visionary thought leader in emerging technologies and has worked with some of the world’s most forward-thinking R&D companies to help them embrace the opportunities of new technologies. With a PhD in AI followed by nearly two decades on the frontline of technical innovation, Mark has a unique perspective unlocking business value from AI in real-world usage. He also has strong expertise in the transformative power of AI in engineering, science and R&D.

        How we can help

        data science and artificial intelligence

        Data and AI

        Master your data, and empower your organization.

        Generative AI Lab

        Visualize and pursue a better, sustainable, and trusted AI-enabled future

        Generative AI

        Generative AI

        Discover how to elevate your possible with Generative AI