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AI Agents Incubation

Build and demonstrate the power of AI Agents systems across industry-specific use cases.

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Use Cases

ID Industry Use Case Description
1 Telco Contact Center Agent Enhancement By automating repetitive tasks, providing actionable insights, and supporting real-time decision-making, a digital assistant can significantly reduce AHT, while improving agent efficiency and overall customer satisfaction.
2 CPR AI-Powered Personalized Marketing Campaigns AI agents autonomously generate, test, and refine hyper-personalized marketing campaigns across multiple channels, continuously optimizing based on customer engagement
3 Public Sector Personalized Learning Assistant An AI-powered personalized learning tutor that tailor educational content to employees´ needs, tracks their progress, and provides real-time feedback. The solution would be capable to assist both employees and HR trainers by enhancing learning experience and improving outcomes
4 Public Sector Government Services Agent for Citizens A Government Services Agent for Citizens (GSAC) for government-related activities function as an AI-driven assistant capable of executing various administrative and civic tasks on behalf of a citizen. It would progressively learn and automate tasks, starting from simple actions and evolving to handle more complex workflows. Simple government services like paying fines, paying bills, checking for dates for children scholarship, to learn how to execute more complex government services, based on simple services
5 Public Sector Health and Wellness Assistant Health and wellness agent that will help, track, and manage health-related services for citizens. From booking appointments to provide personalized health recommendations and offer guidance for medical emergencies. The evolution of tasks, from simpler to complex would be assist with basic health tasks such as appointment scheduling and medication reminders. Monitor health metrics and provide personalized health advice based on user data. Learn to handle more complex health management tasks, such as coordinating care between multiple healthcare providers. Integrate with emergency services
6 Public Sector Internal Workflow Automation Master (IWAM) To streamline and automate internal workflows for employees in the public sector to enhance operational efficiency by automating routine administrative tasks, optimizing workflow coordination, and providing real-time support. This agent can be curated based on the institutions' needs, requirements, and specifications. The master agent can handle routine administrative tasks, manage schedules, and will include at least another agent that can process several types of documents such as applications, forms, and permits, and extract relevant information while also validating data.
7 Public Sector Fraud Detection and Prevention Specialist Analyze large datasets from different sources in real time to detect patterns and anomalies that may indicate fraudulent activities in areas like welfare payments or tax collection. The agent would evolve from collecting data until supporting humans with comprehensive insights. It will collect and analyze data to identify basic patterns of fraud. Detect anomalies in data that suggest fraudulent activities by using adaptive learning. Generate alerts for potential fraud by including contextual analysis to increase accuracy. Develop proactive prevention mechanisms
8 CP&R Autonomous Store Optimization AI agents monitor real-time store performance (foot traffic, shelf stock levels, sales) and autonomously adjust pricing, promotions, and product placements to maximize revenue.
9 CP&R AI-Powered Autonomous Supply Chain & Inventory Optimization AI autonomously predicts out-of-stock risks, places orders with suppliers, and redirects inventory from overstocked stores to understocked ones in real time.
AI agent predicts demand fluctuations and autonomously adjusts orders with suppliers, shifts production schedules, and optimizes logistics to minimize waste and reduce costs
10 CP&R AI-Powered Sustainability Optimization AI automatically tracks energy usage, material waste, and carbon footprint across the supply chain, recommending and implementing sustainability improvements.
11 Life Science In-Silico Modelling A virtual research assistant that is capable of showcasing the power of a multi-agents system in building a complex scientific workflow and then utilizing it to augment scientists work in generating novel molecules. The virtual research assistant could use existing data models and databases to search candidate pathways, select enzyme, predict catalysis rate and rank final outputs.
12 Life Science Virtual Lab Virtual research assistant that demonstrate how a multi-agents system can replicate the capabilities of an interdisciplinary research team. The virtual research assistant could answer complex research questions by designing workflows and reason across multiple fields of science to make a series of interrelated decisions
13 Life Science Clinical Trial Operation A conversational AI solution that empowers stakeholders across clinical operations with real-time, tailored insights through a seamless, natural language interface that will overcome the limited accessibility to insights, lack of predictive insight, fragmented Information Sources, operational inefficiencies and Quality and Compliance Riskstd
14 Life Science Periodic Validation Review (PVR) A periodic quality/validation review (PVR) is an organized process used by pharmaceutical companies to evaluate the actual performance of their products, processes or equipment against pre-determined standards of quality. The Multi_Agent System (MAS) will have to help with these challenges: Time-consuming data collection across multiple systems,Complex trend analysis requirements, Difficulty in identifying systemic issues, Resource-intensive report generation, Limited predictive capability
15 Life Science CSV - Computer System Validation After a component has changed, we need to process the revalidation of the full system. This activity is closed to CQV (Commissioning, Qualification, and Validation) activities and also to software testing. The Multi-Agent System (MAS) will have to help solve these challenges: Resource-intensive documentation requirements, Complex risk assessment process, Time-consuming test script creation and execution, Difficulty maintaining validation state during system changes, Challenging periodic review process
16 Life Science Next Best scientific Engagement / hyperpersonalization Agentic AI to support the sales reps in managing their territories improving sales calls, hyper personalization with HCPs to drive sales in particular in the context of product launch. It will redefine a digital content infrastructure, optimize 3rd party investments and define a strategic content roadmap to improve execution.
17 Life Science Proactive Identification of Interventions Framework An Agentic AI framework that is a set of behavioral and digital interventions across the treatment journey strategically timed and orchestrated that could generate recovery of lost annual sales from leakage.
18 Auto In-Car Autonomous Assistant System An In-Car Autonomous Assistance System (ICAAS) could integrate multiple AI-driven functionalities to provide a seamless, intelligent, and energy-efficient travel experience tailored to the owner’s agenda and preferences.
19 Auto Manufacturing & Supply Chain Optimization An AI-powered multi-agent system for optimizing inventory management, predicting demand fluctuations, and managing suppliers while considering geopolitical risks in the automotive industry. These agents would work together to improve efficiency, reduce costs, and increase supply chain resilience.
20 Banking Smart alert prioritization (TM, Fraud, Onboarding) Agent/tool that can continuously monitor transactions, detect anomalies and help prioritize high-risk alerts based on evolving risk patterns, validate if its fraudulent or not and manage it, notify the bank advisor and resolve the incident.
21 Banking Investor’s Digital Twin A Multi-Agent System (MAS) for Investor Digital Twin Management consists of specialized AI agents collaborating to create, maintain, and continuously refine a digital twin of an investor. The system integrates data from emails, phone calls, and digital interactions, building and updating risk, behavior, and investment profiles while also training a virtual agent for the advisor
22 Banking Dynamic CDD/EDD risk scoring (KYC) Multi-Agent System (MAS) for real-time Customer Due Diligence (CDD) and Enhanced Due Diligence (EDD) monitoring in a Know Your Customer (KYC) process that would involve several autonomous agents, each with specific roles, that collaborate to continuously analyze customer behavior, calculate risk scores, and trigger appropriate compliance actions.
23 Insurance UW Policy Intake Agent Multiple AI-driven agents designed to perform specific tasks in processing policy documents, claims, and other paperwork. The agents interact with each other and human users to ensure an accurate and efficient workflow.
24 Insurance Intelligent Claims Processing A Multi-Agent System (MAS) for claims processing aims to streamline and automate the claims lifecycle while ensuring a transparent and interactive customer experience. The system consists of multiple intelligent agents, each with distinct roles that work collaboratively to process claims efficiently
25 Insurance Call transcription Agent MAS is designed to assist CSRs in real-time during customer calls by: Translating and transcribing the conversation.
Analyzing sentiment for both the CSR and the customer. Providing contextual information to the CSR and proactively assisting with request execution based on confirmation
26 Custom BRING YOUR OWN USE CASE If you are working with your client on a case where Agentic AI can make the difference, let’s use it. We just need a description of the process to validate that it will be as challenging as the other Use Cases, the name of the client and the email of the client’s sponsor in case there are some questions. And send it all to raul.bartolome-ruiz@capgemini.com for approval!!
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The program is now concluded with a significant milestone: enabling over 3000 educators to enhance their Microsoft Cloud & AI capabilities and are now empowering thousands of students worldwide with AI education.

We’re thrilled to announce and invite you to our upcoming AI AGENTS INCUBATION MONTH in collaboration with Microsoft, Nvidia and Github, where Capgemini teams will come together to build next-generation AI Agents and demonstrate the power of Agentic AI systems! 

We aim to build a solid number of AI Agents developed for real clients’ challenges that we can publish on internal Capgemini’s Global AI Agents Gallery for re-use. 

What’s the Challenge?

Develop Agentic AI solutions across various enterprise processes. There is a predefined list of 25 processes you can choose from, or register your own – if it is coming and supported by a client! 

The AI Agent must automate one of the below 25 processes with a Real-World Impact. It should be innovative, creative, and introduce a unique approach, idea, or architecture to demonstrate the power of Agentic AI. The implementation must have technical rigor and leverage the capabilities of Microsoft, Nvidia and Github platforms. Judges will validate your team submission based on these criteria.  

Week 1: Introduction to Azure AI
Topics Covered
    Get started with AI on Azure.
    Mastering Image Analysis & Image Classification using Computer Vision, Custom Vision.
    Analyze images with the Computer Vision service.
    Classify images with the Custom Vision service.
Hands-On-Lab
    Explore Azure AI Services - Content Safety Studio and apps.
    Explore Computer Vision.
    Explore image classification.
Week 2: Object Detection, Face Recognition, and Optical Character Recognition
Topics Covered
    Explore Object Detection.
    Detect objects in images with the Custom Vision service.
    Detect and analyze faces with the Face service.
    Read text with the Computer Vision service.
    Explore Form recognition.
    Analyze receipts with the Form Recognizer service.
Hands-On-Lab
    Explore object detection with Custom Vision service.
    Explore face recognition with the Face service.
    Explore optical character recognition with the Computer Vision service.
    Explore form recognition with the Form Recognizer service.
Week 3: Conversational Intelligence, Natural Language Processing, and Speech Recognition
Topics Covered
    Create a language model with Conversational Language Understanding.
    Analyze text with the Language service.
    Recognize and synthesize speech.
    Translate text and speech.
    Bot Building Masterclass: Creating Intelligent Bots with Language Service and Azure Bot Service.
    Introduction to Azure Cognitive Search.
Hands-On-Lab
    Explore language understanding.
    Explore text analytics.
    Explore speech recognition.
    Explore translation.
    Build a bot with the Language Service and Azure Bot Service.
    Explore knowledge mining with Azure Cognitive Search.
Week 4: Azure OpenAI and Prompt Engineering
Topics Covered
    Get started with Azure OpenAI Service.
    Develop Generative AI solutions with Azure OpenAI Service – Part 1.
    Prompt Engineering with Azure OpenAI Service.
Hands-On-Lab
    Get started with Azure OpenAI Service.
    Develop natural language solutions with Azure OpenAI Service.
    Utilize prompt engineering.
    Explore generative AI with Bing.
Week 5: Advanced Generative AI Solutions and Responsible AI
Topics Covered
    Develop Generative AI solutions with Azure OpenAI Service – Part 2.
    Generate Code with Azure OpenAI Service.
    Generate Images with Azure OpenAI Service.
    Use your own Data with Azure OpenAI Models.
    Responsible Generative AI.
Hands-On-Lab
    Generate and improve code with Azure OpenAI Service.
    Generate images with DALL-E model.
    Use your own data with Azure OpenAI.
    Explore content filters in Azure OpenAI.
Week 6: Regression, Classification, and Clustering in Azure ML Designer
Topics Covered
    Building Regression and Classification models in Azure ML Designer.
    Explore regression with Azure Machine Learning Designer.
    Explore classification with Azure Machine Learning Designer.
    Explore clustering with Azure Machine Learning Designer.
Hands-On-Lab
    Explore regression with Azure Machine Learning Designer.
    Explore classification with Azure Machine Learning Designer.
    Explore clustering with Azure Machine Learning Designer.
Week 1
Topics covered:
Introduction to Azure AI
  • Get started with AI on Azure
  • Mastering Image Analysis & Image Classification using Computer vision, Custom Vision
  • Analyze images with the Computer Vision service
  • Classify images with the Custom Vision service
Hands-on Lab:
  • Explore Azure AI Services - Content Safety Studio and apps.
  • Explore Computer Vision
  • Explore image classification

Why Join?

Hands-On Experience with Cutting-Edge Tools: Develop Agentic AI systems using top technologies like Azure AI Foundry, NVIDIA NIMs, and GitHub. Gain real-world expertise while working with cutting-edge orchestration frameworks such as Semantic Kernel, LangChain, CrewAI and more. 

Great way to engage your clients into Agentic AI journey! You are welcome to add a client representative, free of charge, as a business owner / product manager of the solution. Clients can provide data for a team to work. If a client is involved, your team can register a new, additional enterprise process to automate with AI Agents! 

Guided Learning: Gain practical expertise as industry leaders train participants on Microsoft, Github and NVIDIA technologies. 

Opportunity for Real-World Impact: Outstanding submissions have the potential to evolve into full-fledged solutions that extend beyond the hackathon, landing in Capgemini’s Global AI Agents Gallery. 

Expand your Network: Connect, collaborate with, and learn alongside other AI enthusiasts and industry experts. 

Rewards & Recognition: Top teams will win exciting prizes: Jetson Orin Nano Super Developer Kits (10 of them!), and the opportunity to continue the development of selected AI Agents with a dedicated team in one of the AIE locations. All teams will get cool Github swag 😊 

Week 1: Introduction to Azure AI
Topics Covered
    Get started with AI on Azure.
    Mastering Image Analysis & Image Classification using Computer Vision, Custom Vision.
    Analyze images with the Computer Vision service.
    Classify images with the Custom Vision service.
Hands-On-Lab
    Explore Azure AI Services - Content Safety Studio and apps.
    Explore Computer Vision.
    Explore image classification.
Week 2: Object Detection, Face Recognition, and Optical Character Recognition
Topics Covered
    Explore Object Detection.
    Detect objects in images with the Custom Vision service.
    Detect and analyze faces with the Face service.
    Read text with the Computer Vision service.
    Explore Form recognition.
    Analyze receipts with the Form Recognizer service.
Hands-On-Lab
    Explore object detection with Custom Vision service.
    Explore face recognition with the Face service.
    Explore optical character recognition with the Computer Vision service.
    Explore form recognition with the Form Recognizer service.
Week 3: Conversational Intelligence, Natural Language Processing, and Speech Recognition
Topics Covered
    Create a language model with Conversational Language Understanding.
    Analyze text with the Language service.
    Recognize and synthesize speech.
    Translate text and speech.
    Bot Building Masterclass: Creating Intelligent Bots with Language Service and Azure Bot Service.
    Introduction to Azure Cognitive Search.
Hands-On-Lab
    Explore language understanding.
    Explore text analytics.
    Explore speech recognition.
    Explore translation.
    Build a bot with the Language Service and Azure Bot Service.
    Explore knowledge mining with Azure Cognitive Search.
Week 4: Azure OpenAI and Prompt Engineering
Topics Covered
    Get started with Azure OpenAI Service.
    Develop Generative AI solutions with Azure OpenAI Service – Part 1.
    Prompt Engineering with Azure OpenAI Service.
Hands-On-Lab
    Get started with Azure OpenAI Service.
    Develop natural language solutions with Azure OpenAI Service.
    Utilize prompt engineering.
    Explore generative AI with Bing.
Week 5: Advanced Generative AI Solutions and Responsible AI
Topics Covered
    Develop Generative AI solutions with Azure OpenAI Service – Part 2.
    Generate Code with Azure OpenAI Service.
    Generate Images with Azure OpenAI Service.
    Use your own Data with Azure OpenAI Models.
    Responsible Generative AI.
Hands-On-Lab
    Generate and improve code with Azure OpenAI Service.
    Generate images with DALL-E model.
    Use your own data with Azure OpenAI.
    Explore content filters in Azure OpenAI.
Week 6: Regression, Classification, and Clustering in Azure ML Designer
Topics Covered
    Building Regression and Classification models in Azure ML Designer.
    Explore regression with Azure Machine Learning Designer.
    Explore classification with Azure Machine Learning Designer.
    Explore clustering with Azure Machine Learning Designer.
Hands-On-Lab
    Explore regression with Azure Machine Learning Designer.
    Explore classification with Azure Machine Learning Designer.
    Explore clustering with Azure Machine Learning Designer.
Week 1
Topics covered:
Introduction to Azure AI
  • Get started with AI on Azure
  • Mastering Image Analysis & Image Classification using Computer vision, Custom Vision
  • Analyze images with the Computer Vision service
  • Classify images with the Custom Vision service
Hands-on Lab:
  • Explore Azure AI Services - Content Safety Studio and apps.
  • Explore Computer Vision
  • Explore image classification

Event Details

AI is changing the world and the way we learn. Whether it’s healthcare, finance, or education, AI is reshaping every industry with new possibilities. As educators, you need to master the basics of AI to keep up with the latest trends and to prepare your students for a future driven by technology.

90-Minute Expert Led Sessions

  • Registrations are open from 11th March 2025 
  • Venue: Online 
  • Hacking Dates: 7th April – 9th May 2025   

Interactive Learning with Hands-on Labs

Access a suite of 17 real-world exercises through our hands-on labs tailored for AI-900. These practical sessions are designed not only to reinforce theoretical knowledge but also to apply your learning, ensuring a robust understanding.

Practice Tests

Assess your knowledge with precision through our complimentary practice tests, mirroring the AI-900 certification examination. These tests offer a valuable opportunity for self-evaluation, helping you gauge your readiness.

Course Completion Recognition

Achieve a sense of accomplishment by earning a Course Completion Badge upon successfully completing our program. This badge symbolizes your dedication to mastering AI fundamentals, making it a valuable addition to your professional portfolio.

Weekly Office Hours

Connect weekly with Microsoft Certified trainers to get your doubts clarified, anything and everything around Microsoft Cloud and AI Solutions.

Event Details

Registrations:

  • Registrations: opens 14th March 2025 
  • Venue: Online 
  • Hacking Dates: 7th April – 9th May 2025   

Key Technologies:

You will get access to the latest Microsoft, NVIDIA, and GitHub technologies.  

Judges:

Capgemini leadership together with technology leaders from Microsoft, Nvidia and GitHub will validate your team submissions. 

Enablement Sessions:

Experts from Microsoft, Nvidia and GitHub will provide training sessions for all registrants. 

  • 18th March: Azure AI Agents  
  • 21st March: Github Session: Early preview of GitHub Agent Mode and GitHub Autonomous SWE Agents 
  • 24th March: Nvidia Building Agents with Nvidia NIMs 
  • 25th March: Nvidia data flywheel 
  • 27th March: Semantic Kernel
  • 31st March: Postgress: Vector and Graph databases

Tiago Costa is a Cloud Architect and Advisor and International speaker for the Microsoft Cloud. For the past years, he has been architecting and developing solutions using Microsoft Azure for some of the Fortune 500 companies. Due to his real-world solid experience, Tiago regularly teaches Microsoft Azure classes worldwide.

Microsoft Azure MVP since 2016 for his community efforts in promoting and sharing knowledge with the community. Tiago has 40+ Microsoft Certifications, including MCT – Microsoft Certified Trainer, and got awarded as MCT Regional Lead since 2016 every year. He’s the founder of the Azure Portugal User Group. He loves diving into new technologies and sharing his experience at conferences and training classes, but what excites him about his work is to help others explore new frontiers in technology impacting their lives, making the world a better place for everyone. His free time is spent with his family in sunny Lisbon, Portugal building cool and geek projects.

  • Author at Independent Contractor

Eduardo Rodriguez is a Spanish teacher who is a passionate for technology. He has ten years of experience as a Microsoft Certified Trainer and working as a data engineer, he is aware of the importance of technology and how to apply creativity in the workplace. From teaching at universities and international academies,

where he has collaborated with Microsoft to create MCT courses and shares his professional experience and knowledge with students who are committed to using technology in the future.

  • Data Engineer

How to Participate?

Step 1: Form Your Team – Assemble a team of five enthusiastic Capgemini colleagues. In addition to these five, clients are welcome to join as product managers. 

Step 2: Choose an Enterprise Process– Select one of the twenty-fice Use Cases listed below, to innovate on, or propose your own Use Case process to automate (only accepted if you have a real client participating) 

Step 3: Register – Register using the form below, No team yet? No problem—we’ll match you with others. 

Step 4: Build & Demo – Develop your Agentic AI solution, get creative and enjoy the process! 

Step 5: Submit your Work – Create a video, one slider, and store your solution in your GitHub Repository. 

Registration Process :

Step 1: Access the multi-step form and select your industry from the dropdown menu. Industry options are pre-populated, with an additional “Custom” option to define your own Use Case. 

Step 2: Each industry includes a predefined set of Use Cases. Select your preferred Use Case or submit a custom one. 

Step 3: Complete the form by providing your first name, last name, email address, team name, and region. Please note that only Capgemini email addresses are accepted; other domains will not be permitted. 

Step 4: Upon submission, you will receive a shareable link. Distribute this link to your teammates so they can register under your team. 

Important: Each team can have a maximum of five members, and no more than 10 teams can be registered under a single Use Case. 

If you bring your own Use Case, we will need a description of the Use Case, the name and the email of the client sponsoring it. Then, please send it all to raul.bartolome-ruiz@capgemini.com for approval!! 

Enroll Now!!

Fill out the registration form today to secure your spot and join the next generation of innovators.

Event Details:

Registrations: opens 14th March 2025
Venue: Online
Hacking Dates: 07th April to 09th May 2025





FAQ (Frequently Asked Questions)

How to join the cohort?


To join, simply enroll in one of the mentioned cohorts.
When will my training sessions take place?


Your training sessions will commence on the specified start date of your enrolled cohort. Interactive expert sessions occur weekly.
When will I gain access to the course content?


Upon enrolling in a cohort, access to the course content will be granted on the cohort's start date.
Will I receive an Azure Subscription for hands-on experience?


The self-paced hands-on lab environments provided with the course will come pre-configured, eliminating the need for a separate Azure Subscription.
What is the duration of the course?


The course spans a duration of 6 weeks.
Is there a fee for the course?


No, this course is entirely free for educators.
Can I watch the session if I miss it?


Yes, you will have access to recordings of the sessions you are enrolled in.
Can I obtain the AI Fundamentals course for my students?


Certainly, you can acquire the necessary number of course vouchers for your students, along with any applicable book fees.
Will I get an Azure Subscription to get a hands-on?
Microsoft Dynamics 365 Business Central Functional Consultant exam will help you to implement core application setup processes for small and medium businesses and configure Microsoft Dynamics 365 Business Central including setting up core functionality and modules and migrating data to Business Central.

What you’ll learn
  • Set up Business Central
  • Configure financials
  • Configure sales and purchasing
  • Perform Business Central operations
 Job Role : Functional consultant
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