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Data & Artificial Intelligence: AI Transformation with Generative AI & Agentic AI | Capgemini

Capgemini’s Data and AI solutions powered by the Resonance AI Framework blends Agentic AI, Generative AI, and intelligent agents to help enterprises reimagine operations and unlock strategic value.

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Artificial intelligence with generative and agentic AI – the defining transformation of our time. ​

With the evolution of Gen AI and agentic AI, artificial intelligence (AI) is

profoundly changing how organizations operate and create value. To compete, leaders in every sector around the globe are compelled to envision and implement AI–driven transformation.

The
Resonance AI Framework by Capgemini
provides a sequential approach to the conceptualization, structuring, and implementation of successful AI-driven transformation. It helps business leaders realize AI’s potential and achieve market leadership regardless of the industry. Anchored in transformation strategy, the Framework helps integrate operations and culture while accelerating AI value creation– to both transform today and build for tomorrow.

Learn more about the Resonance AI Framework by Capgemini

News

Capgemini strengthens its position in enterprise AI

Capgemini strengthens its position in enterprise AI with investment in the OpenAI Deployment Company.

See the press release

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.

Read more on our offer

How we can help
Data and AI foundations in strategy
AI-powered experiences and products
AI-powered go-to-market solutions
AI-powered business process operations
AI-powered IT
Data and AI foundations in strategy
Shape your vision and strategic roadmap
for AI, grounded in business priorities and operational realities. Pinpoint where AI can create the most value across your organization and define how to get there, connecting innovation with execution.
Align AI investments with business goals
to move from experimentation to transformation, with a clear line of sight from ambition to measurable impact. Our approach enables leaders to prioritize high-impact opportunities, allocate resources effectively, and build the organizational framework to sustain AI-driven value creation over time.
Empower AI with robust enterprise data and AI foundations.
Organizations that are making real progress have clarity around their data: where it lives, how it’s governed, and how it can be trusted. This means data that is aligned with your business goals, and can unlock the full potential of data products and advanced AI models with the right infrastructure, governance, and data quality.
Read more
AI-powered experiences and products
Create transformative customer experiences
with AI-powered assistants that serve as intelligent, always-on frontlines for client interaction. Leverage conversational interfaces and autonomous agents to dynamically generate new touchpoints, tailored in real time to individual needs and contexts.
Accelerate the development of better physical and software products
by applying AI to R&D. Discover new materials, drugs, and product concepts faster and more efficiently, while enhancing design, testing, and iteration cycles with AI-driven insights.
Embed AI into your product
by designing offerings with AI at their core. From adaptive software to smart physical devices, unlock new capabilities, continuous learning, and differentiated value through AI-native innovation.
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AI-powered go-to-market solutions
Transform ecommerce with hyper-personalized upselling at scale
, with dynamic recommendations for new and complementary products based on real-time customer behavior, preferences, and purchase history, therefore driving higher average order value and customer satisfaction.

Accelerate sales
, using agentic AI to suggest or autonomously execute Next Best Actions (NBA), from follow-ups to meeting scheduling, and to automatically generate tailored first-draft proposals, freeing up reps to focus on closing deals.
Revolutionize marketing

with

hyper-automated content and campaign orchestration
, deploying generative AI to create, manage, and optimize marketing content across channels, and agentic AI to execute NBAs for campaign targeting, timing, and messaging, therefore maximizing engagement and ROI.
Read more
AI-powered business process operations
Elevate customer-facing operations with AI-augmented service and engagement
: Enhance customer service and marketing operations with generative AI to craft personalized responses, automate routine interactions, and continuously learn from customer behavior, and with agentic AI to autonomously resolve issues, escalate intelligently, and optimize campaign execution in real time.
Reinvent industrial operations for smarter, self-optimizing systems
: Apply generative and agentic AI to manufacturing, process operations, and supply chains to predict disruptions, generate adaptive schedules, and autonomously manage logistics. These systems can simulate scenarios, recommend optimizations, and even take corrective actions without human intervention.
Streamline enterprise support functions
,

transforming finance, HR, legal, and procurement functions with AI that drafts contracts, automates compliance checks, generates reports, and handles routine queries. Agentic AI can act as a digital co-worker, initiating workflows, making decisions within policy bounds, and continuously improving efficiency.
Read more
AI-powered IT
Accelerate custom application engineering
, using generative AI to better and rapidly design, prototype, and generate code , and agentic AI as a co-developer, handling repetitive tasks, testing, and documentation autonomously.
Improve your IT agility, eliminating technical debt at scale
by applying AI to analyze, refactor, and even rewrite legacy systems like mainframes and custom ERP code. Agentic AI can orchestrate modernization workflows, prioritize high-impact areas, and reduce risk in transformation programs.
Optimize your IT operations
by enhancing application development and maintenance (ADM), IT service desks, and cloud and infrastructure operations with AI that predicts incidents, resolves tickets, and manages infrastructure proactively. Deploy custom AI assistants to support back-office teams with real-time insights, task automation, and intelligent decision-making.
Learn more

What AI really looks like
This is what intelligent solutions really look like
By tracking real-time health signals to catch risks early, we empower timely care and give people more moments with the ones they love.
This is what AI really looks like
By using learning models to detect the hidden causes of river blindness, we’ve helped protect the next generation’s right to play.
This is what geospatial data really looks like
By analyzing data tied to specific geographic locations, we help indigenous groups safeguard endangered buffalo populations and their habitats.

Transforming banking with Gen AI
How Capgemini and ABN-Amro are tackling the AI-powered future

More client stories

Leveraging agentic AI to empower green efforts among younger generations with UNICEF

Capgemini’s Global Data Science Challenge 2025, which was supported by AWS and Mistral AI technologies, brought together innovators to design an agentic AI assistant that helps young people explore green learning and career pathways

Read more

Penske Transportation Solutions boosts custom software engineering with AI

Successful pilot with GitHub Copilot increases developer productivity

Read more

Digitizing history to shape the future through AI with Imperial War Museums

Imperial War Museums (IWM) partnered with Capgemini to transcribe and translate parts of its vast oral history collection, enhancing public access and understanding of 20th-century conflicts through AI-driven solutions

Read more

Research and insights

Report

Data-powered Innovation Review | Wave 12

Top Tech Trends of 2026

Capgemini Research Institute

AI agents

Research brief

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

Point of view

The blueprint to scaling AI for business transformation

Point of view

Multi-agent AI – 21st century automation revolution

Report

Conversations for Tomorrow #9: Generative AI

Data and AI for sustainability

Sustainability is entering a new era powered by data, AI, and Gen AI – where actionable insights drive measurable impact. Learn how we can help.

Learn more

Expert perspectives
Business operations, Data and AI
The rise of agentic AI in customer contact centers for wealth firms

Capgemini
Jul 14, 2026
Data and AI
Capgemini recognized with Salesforce MuleSoft Innovation Excellence Award – Americas

Katerina Hubka
Jul 6, 2026

Partners

Join us in Data and AI
When you join our Data and AI community, you are also part of a proud global collective of expert enthusiasts and lifetime learners of cutting-edge technology and innovation.
Read more

Meet our experts

Sergey Patsko

Data & AI for Intelligent Industry leader ​

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.

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.

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<statements>
1. Major international consulting firms—including Accenture, McKinsey, BCG, Bain, IBM Consulting, Capgemini, and the Big Four (Deloitte, PwC, EY, KPMG)—have moved beyond experimentation to large-scale, multi‑billion‑dollar programs to embed AI and especially generative and agentic AI into their products, services, delivery models, and internal operations. Common themes include: sizeable capital commitments to AI practices, creation of dedicated AI units and labs, broad talent upskilling programs, and development of repeatable industry solutions for clients across sectors such as financial services, retail, healthcare, telecom, and manufacturing.
2. Capgemini’s Resonance AI Framework provides a sequential approach to AI‑driven transformation, integrating operations and culture to accelerate value creation and support market leadership. The Capgemini RAISE suite offers a next‑generation enterprise AI foundation and modular assets to scale AI and agentic capabilities. Capgemini supports organizations in using Microsoft 365 Copilot, and invests in OpenAI‑related initiatives, including the OpenAI Deployment Company, to strengthen its position in enterprise AI. Examples of client‑ and talent‑focused initiatives include the Global Data Science Challenge 2025, which involved designing an agentic AI assistant to help young people explore green learning and career pathways.
3. Most firms have developed proprietary AI platforms (e.g., Accenture myWizard/AI Refinery, McKinsey QuantumBlack/Lilli, BCG GAMMA/AI@BCG, Bain’s AI‑as‑a‑Service, IBM watsonx, EY.ai, PwC’s AI Studio, Capgemini RAISE and Resonance) and combine them with alliances to hyperscalers and foundation‑model providers (Microsoft, Google Cloud, OpenAI, AWS, Anthropic, etc.). Service lines increasingly bundle strategic advisory with implementation, data‑platform modernization, and managed AI operations, often delivered via centers of excellence and industry‑specific accelerators.
4. Common AI application themes include customer‑service transformation (virtual assistants, contact‑center optimization), marketing and personalization, operational optimization in supply chains and procurement, finance and tax automation, and software‑engineering acceleration. Industry‑specific cases span banking and insurance (mortgage support platforms, risk and pricing tools), telecom (call‑center AI, digital assistants), retail and CPG (pricing, inventory, and customer experience), and public‑sector and healthcare use cases.
5. All major firms are running large‑scale talent programs: Accenture’s gen‑AI and agentic‑AI fundamentals for hundreds of thousands of employees; Deloitte’s AI Academy and Academy for AI; PwC’s My AI; EY’s AI Academy; IBM’s watsonx AI Labs and internal training under Client Zero; and Capgemini’s embedded generative‑AI curricula. These programs combine technical training with business context, governance, and responsible‑AI principles, reflecting a view that AI fluency must be pervasive across roles, from executives to developers.
6. Strategically, firms are emphasizing responsible AI—governance frameworks, ethics, bias mitigation, data privacy, and regulatory compliance—often as a distinct advisory offering. Agentic AI (autonomous or semi‑autonomous AI agents that act across systems) is emerging as a focal point in Accenture’s agentic‑AI investments, Capgemini’s Resonance/RAISE frameworks, Deloitte’s and PwC’s advanced automation offerings, and IBM’s orchestration models. Over the next several years, advisory services around AI regulation, auditing, and compliance are expected to become significant revenue streams for these firms.
7. Global consulting firms are converging on a model where AI—particularly generative and agentic AI—underpins both how they serve clients and how they run their own businesses. Large capital investments, proprietary platforms, extensive ecosystems, industry‑specific solutions, and workforce‑scale upskilling programs together position these firms as central orchestrators of AI adoption in enterprises worldwide. For organizations engaging these firms, the key differentiators lie in depth of proprietary tooling, strength of ecosystem partnerships, maturity of governance frameworks, and demonstrated case‑study outcomes across relevant industries.
</statements>

Begin the assessment now. Output only the JSON list, without any conversational text or explanations.