Become an AI-Native Value Architect and turn AI opportunities into measurable value with a practical lifecycle, blueprint, and delivery approach.
AI-Native Value Architect (NL)
In-company training courses
With an in-company training you have several advantages:
- You choose the location.
- You train with your colleagues, ensuring it aligns with your practice.
- The trainer tailors explanations, examples and assignments to your organization.
- In consultation, exercises can be adapted to organization-specific questions.
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Classroom, online, blended and in-company
At Capgemini Academy you learn in the way that suits you. Do you prefer classroom training, online or a combination of the two (blended)? You can follow most training courses in-company: within your own organization. We use a variety of tools to make learning even more fun and effective. Consider videos, games, quizzes, webinars and case studies, for example. And you can always contact your trainer with any questions.
What is AI-Native Value Architect
In this two-day, hands-on course, you learn to guide AI initiatives from the first signal to an evidence-based production and investment decision. You step into the AI-Native Value Architect role, connecting business, technology, users, risk, and governance. Through simulations and one end-to-end case, you apply the AI-Native Solution Lifecycle: Sense, Discover, Design, and Deliver. You learn to unlock value from existing AI tools, coach adoption, align stakeholders and decision rights, and turn technical, commercial, and human or ethical risks into design choices. You create an AI Risk Council, Alignment Brief, Value Blueprint, verdict, 90-Day Implementation Tracker, and personal roadmap. The course helps you move AI pilots beyond proof of concept, redesign workflows, expose total cost and measurable value, and communicate success convincingly. You leave ready to guide cross-functional teams toward responsible, scalable AI outcomes.
This course is Scaled Agile’s official AI-Native training and is delivered by certified trainers. The AI-Native Value Architect exam is included in the course. The cost of the exam is included in the course price. You will take this online exam at a time and place of your choosing, provided it is within 60 days of the course. You have two attempts to pass the exam. We always use the letest (English-language) AI-Native training materials from Scaled Agile.
Who should attend AI-Native Value Architect
This course is designed for:
- Scrum Masters and Team Coaches
- Release Train Engineers, or RTEs
- SAFe Practice Consultants, or SPCs
- Product Managers and Product Owners
- Solution, System, and Enterprise Architects
- Delivery and transformation leads
- AI enablement, innovation, and change professionals
- Professionals connecting business, technology, risk, and users in AI initiatives
Prerequisites
There are no formal admission prerequisites. Experience in agile working, product development, organizational change, or AI initiatives is helpful but not required.
Before attending, participants must complete two mandatory one-hour online modules: AI-Native Lens and Leading Value Conversations. Completion of the pre-work modules is required to obtain the course badge.
Objectives
By the end of this training, you will be able to:
- Identify why AI initiatives stall and how to accelerate value creation.
- Apply the five responsibilities of an AI-Native Value Architect.
- Guide AI adoption at individual, team, departmental and organisational levels.
- Get more value from existing AI tools through Inventory, Activate, Optimise and Centralise.
- Align business, technology, users, data, risks and governance around a common goal.
- Apply the AI-Native Solution Lifecycle: Sense, Discover, Design and Deliver.
- Draw up an Alignment Brief and an AI-Native Value Blueprint.
- Translate risks into design choices and control measures.
- Define the value, costs, metrics, ownership and decision-making processes for AI solutions.
- Manage implementations using checkpoints, tripwires and a 90-Day Implementation Tracker.
- Translate AI results into a compelling success story and create a personalised Value Architect Roadmap.
Exam information
- Exam duration: 90 minutes
- % extra time for non-native speakers: 0%
- Number of exam questions: 45
- Minimum to pass out of total questions: 35
- Exam style: Multiple choice
- Open book: No
You have two attempts to pass your exam!
e-CF competences with this course
- A.1. IS and Business Strategy Alignment
- A.7. Technology Trend Monitoring
- A.9. Innovating
- D.10. Information and Knowledge Management
- E.4. Relationship Management
- E.5. Process Improvement
- E.7. Business Change Management
