Successfully operationalizing artificial intelligence in the company
The master plan for the successful conception, introduction and operationalization of artificial intelligence - from entry to transformation management
4.2
Did you know?
This course is part of the certified Master Class "AI Manager". By booking the entire Master Class, you save 20 percent compared to booking the individual modules.
Following the presentation and an introduction to the learning environment, participants will work with the expert to explore scenarios that highlight the challenges involved in implementing AI projects.
- What Operationalization Really Means — and Why It’s More Than Just Using Tools
- The AI Product Lifecycle as a Management Tool
- The four evaluation dimensions: Technology, Business, Organization, Compliance
- Understanding and Interpreting Technical Metrics
- Set up the PoC scoreboard and make the go/no-go/pivot decision
- Roles and Responsibilities in the AI Team: Who Is Needed and When?
- Agile Project Management for AI Projects
- Process maturity as a prerequisite for operationalization
- Prototype, Pilot, and MVP: Distinctions and Success Criteria
- Why AI projects fail between the PoC and production phases—and how to avoid it
After reviewing the material from the initial self-study phases, the learning group works with the expert to examine specific real-world scenarios: Where does the transition from proof of concept to product stall? Which team structures work—and which don’t? Participants share their experiences and apply them to their own situations.
- Why AI projects are always change projects as well
- Acceptance, Adoption, and Resistance: Identifying Differences and Taking Targeted Action
- Psychological safety as the foundation for successful change
- Change models (Lewin, Kotter, Streich) applied to AI implementations
- Specific measures: communication, empowerment, key users, managers
- Three Levels of AI Operations: Business, Operations, and Technology
- A Comparison of Operational Models: Centralized, Department-Based, and Hybrid
- Data Governance, Ground Truth, and Data Quality in Live Operations
- The Three Dimensions of AI Monitoring: Quality, Usage, and Further Development
- Derive actions from monitoring and actively manage operations
In the final webinar, participants will synthesize the insights they have gained from all the self-study phases. Together with the expert, they will address any remaining questions, reflect on the application exercises, and develop concrete next steps for their own organization.
Contents and course schedule
1. The Moment of Truth: Why Operationalization Is the Hardest Step
- What operationalization really means—and how it differs from simply using a tool
- Common pitfalls: When AI implementation remains merely on paper
- The AI Product Lifecycle as a Framework for Managers
- Case Study: When Do AI Projects Fail—and Why Exactly Here?
2. The Decision: Evaluate the PoC and Set the Course
- The four evaluation dimensions: Technology, Business, Organization, Compliance
- Understanding technical metrics without being a data scientist
- The PoC Scoreboard: Building a Decision-Making Framework for Stakeholders
- Go, Pivot, or No-Go: How to Make the Right Decision and Stand by It
3. From Experiment to Product: The Structured Development Process
- Prototypes, Pilots, and MVPs: What They Can Do—and What They Can’t
- Building the AI Team: Roles, Responsibilities, and Collaboration
- Why AI Projects Fail Between Proof of Concept and Production
- Process maturity as an underestimated prerequisite for the rollout
4. Getting People On Board: Change Management for AI Initiatives
- Why even the best model fails if the organization doesn't get on board
- Strategically shaping acceptance, resistance, and psychological safety
- Change Models in Practice: Lewin, Kotter, and Streich Applied to AI
- Communication, Key Users, and Leaders as Drivers of Success
5. AI in Continuous Operation: Monitoring and Stable Structures
- Three Levels of AI Operations: Business, Operations, and Technology Working Together
- A Comparison of Operational Models: Centralized, Department-Based, and Hybrid
- Data Governance and Data Quality as the Foundation for Sustainable AI Use
- The three dimensions of monitoring: quality, usage, and further development
6. Embedding AI Deeply: From Solution to Organizational Strength
- AI as an integral part of processes, roles, and decision-making structures
- Scaling: How a Pilot Program Becomes a Company-Wide Initiative
- Lessons Learned: Successes and Challenges from Real-World Experience
- Your next step: Implementing this in your own organization
This is how you learn in this course
This course offers a digital blended learning approach designed for working professionals. Through a flexible combination of online seminars and self-study sessions, you’ll be sure to achieve your goals. Here’s what you’ll learn in this training program:
Learning environment: In your online learning environment, you will find useful information, downloads and extra services for this training course after you have registered.
Self-study phases: Learn independently, at your own pace and whenever you want. Our courses offer you didactically high-quality learning material.
Live webinars: In regular online seminars, you will meet your trainers in person. You will receive answers to your questions, specific assistance and instructions on how to deepen your knowledge and apply the skills you have acquired in practical exercises.
Learning Community:A digital learning community will be available to you throughout the course. trainers with other participants and the trainers , and ask any questions you may have.
Certificate of Completion and Open Badge:As a graduate of the class, you will receive a certificate of completion and an open badge, which you can easily share on professional networks (such as LinkedIn).
Your benefit
You'll learn what operationalization really means—and why it's the most challenging step in the entire AI journey.
You know how to systematically evaluate a completed proof of concept and make an informed go/no-go/pivot decision—using a clear scorecard as the basis for your decision.
You'll learn which roles are needed in the AI team at each stage, how they work together, and how you can actively shape the transition from an experiment to a stable product.
You’ll learn practical methods for building acceptance of AI solutions within your organization—and understand why implementing AI is always a change management project.
You'll learn how to keep an AI system stable, transparent, and useful in production—from operational models and data governance to the three dimensions of AI monitoring.
You will gain expertise in a field that is already in high demand today and will become even more important in the future.
Get actively involved in our online community and work on your own questions—that way, you can apply what you learn directly to your day-to-day business operations.
Methods
Well-founded trainers, presentations, practical exercises, self-reflection, discussions, work aids, group work on participants' real projects and exchange of experience in the learning community.
Tool
Recommended for
This course is aimed at anyone who wants to implement AI projects in companies or is planning the large-scale use of AI tools. We recommend this course to entrepreneurs, decision makers , organizational developers, product managers and project managers. The course is also an ideal introduction to the topic for CDOs (Chief Digital Officers), CAIOs (Chief AI Officers) and technical managers and specialists.
With this course, you will learn everything you need for the careful introduction of AI in companies. It is equally suitable for newcomers and career changers as well as for people with prior knowledge who want to deepen their AI knowledge and put it into practice.
- Customized training courses
- Direct application in practice
- Efficient use of time and resources
Mastering the future
Recognize & implement AI potential in the company - with the Master Class "AI Manager:in".
Ratings and feedback from our participants
Start dates and details
Training is guaranteed to take placeAbout us - The Haufe Akademie
Your optimizer, innovator and companion since 1978 -
Your professional partner for professional development and seminars, training courses and topical conferences.
Whether on site, live online or in-house - our customised solutions, our claim to the highest level of consulting expertise and training tailored to your needs simplify the acquisition of skills for the working world of the future and sustainably facilitate professional development.
A wide range of seminars, individual coaching and our flexible formats support HR managers and decision-makers in shaping the future and developing employees, in-house teams and companies.
Experience the benefits of online training from the comfort of your own home. Our online formats meet the highest quality standards and are in no way inferior to face-to-face events in terms of practical relevance. Learn together live online in interactive groups or digitally at a time of your choice.
Do you have any questions?
We are there for you Monday to Friday 8:00 a.m. - 5:00 p.m.
Questions & Answers
In our Questions & Answers (FAQ) section, you will find all the answers and the most frequently asked questions about your selected topic.
Munzinger Str. 9
79111 Freiburg
- Planning security
- Free seminar places
- Quality standards
- Planning and locations
- Funding opportunities
- Training app
- Business Solutions
