Successful AI implementation – agile management of AI projects
A two-day workshop training aimed at people who plan or carry out AI implementations in their organization and want to run them in an orderly, informed way adapted to the realities of high-uncertainty projects. The training focuses on the agile management of AI implementation projects, treated not as technology undertakings but as change projects that involve business decisions, iterative learning, and working with the people engaged in the project.
Why choose this training?
A two-day workshop training aimed at people who plan or carry out AI implementations in their organization and want to run them in an orderly, informed way adapted to the realities of high-uncertainty projects. The program is designed for managers, team leaders, owners of AI initiatives, and people responsible for projects and organizational change.
The training focuses on the agile management of AI implementation projects, treated not as technology undertakings but as change projects that involve business decisions, iterative learning, and working with the people engaged in the project. The program is based on practical agile tools such as the Agile Change Management (ACM) cycle, the Project Canvas, the Project Charter, experiments, and the Kanban board.
What sets our approach apart?
At EITT we believe that the best learning happens through practice. The training is based on work on real or sample AI implementation projects, so participants leave with concrete deliverables ready for further use in the organization.
With over 2,500 trainings in our offer, EITT is a trusted partner in competency development for organizations of every size. Our trainers are practitioners with many years of experience in running projects and managing change.
Looking for a training tailored to your team’s needs? Contact us — we will prepare a program adapted to your requirements.
Benefits
- you will build a Project Canvas and a Project Charter for a selected AI implementation project
- you will select the right approach to managing an AI project, appropriate to its level of complexity and uncertainty
- you will design experiments that verify specific actions and initiatives in an AI project
- you will gain the ability to use a set of project tools (Project Canvas, Project Charter, generating action options, Value–Cost diagram, Kanban board)
- you will strengthen your competencies in managing the human dimension of the project, consciously working with the reactions and attitudes of the people involved in the AI project
Who is this training for?
Prerequisites
- A basic level of experience in using AI tools
- No prior experience in project management is required
Training program
Day 1 · Module 1 – Foundations of successful AI implementations (1.5 h)
- Introduction
- Why do AI projects fail?
- The scale and causes of AI project failures
- Exercise: Identifying and categorizing the causes of AI project failures (using AI)
Day 1 · Module 2 – Choosing an approach to AI implementation (1 h)
- An AI implementation project as change
- When and why to use an agile approach in AI implementation projects?
- Differences between the classic and agile approaches to project management
- AI projects as complicated and complex projects
- The Stacey Matrix as a tool for choosing an approach
- Exercise: Qualifying sample AI projects into the areas of the Stacey Matrix (using AI)
Day 1 · Module 3 – An agile approach to project management (0.5 h)
- The agile approach based on the Agile Change Management (ACM) cycle
- Elements of the ACM cycle: Insight → Action options → Experiments
- The iterative nature of AI projects
Day 1 · Module 4 – The Project Canvas as a One-Page Plan for AI implementation (2 h)
- The strategic Project Canvas as a One-Page Plan – 6 key elements: vision / target state, importance and urgency, success criteria, progress measures, impact, support
- The scope of using AI when working with the Canvas and its limitations
- Exercise: Creating a Project Canvas for a selected AI implementation project (group work, AI as an assistant)
Day 1 · Module 5 – The Project Charter in the agile approach (1 h)
- The purpose of creating a Project Charter in the agile approach
- The agile Project Charter – minimum project documentation – Charter template and prompt to use
- Using information from the Project Canvas when creating the agile Project Charter
- Exercise: Creating a Project Charter for a selected project (AI as an assistant)
Day 1 · Module 6 – Generating and selecting the most beneficial actions (2 h)
- What action options are and are not? Examples
- Various tools supporting the generation of action options
- Methods of prioritizing action options using the Value–Cost diagram
- Exercise: Generating action options and selecting the most beneficial actions in the project (group work, AI as an assistant)
- Day summary
Day 2 · Module 7 – Experiments in AI projects (1 h)
- What are experiments in projects and in the agile approach?
- How to plan a good experiment? Checklist
- Exercise: Designing experiments using a hypothesis template
Day 2 · Module 8 – Monitoring the AI implementation project (1 h)
- Using the experiment board and the Kanban board to monitor the implementation
- The Kanban board, board columns and action cards
- Principles for setting the Work in Progress limit
- Types and principles of meetings: stand-up, review, retrospective
Day 2 · Module 9 – Communication in the project (2 h)
- From the communication plan to creating a message
- What is business storytelling and how to quickly create messages using it?
- Exercise: Building a project message using the Story Canvas
- Visualizing communication using AI tools (e.g. NotebookLM)
- Exercise: Creating an infographic, presentation or mind map summarizing information about the project
Day 2 · Module 10 – Human reactions to change (2 h)
- An introductory exercise on the subject of reactions to change
- Stages of human reactions to change – the Virginia Satir curve
- Desired actions of the project team at successive stages of change
- Practical use of the Satir model in AI implementation projects
Day 2 · Module 11 – Causes of reactions to change and types of attitudes toward change (2 h)
- Sources of reactions to innovation and change – the SCARF model
- How to quickly explore and discuss the needs related to the model's components within the team
- How to build a coalition supporting the AI implementation project, knowing the typology of attitudes toward change?
- How to work with people who have different attitudes toward the project?
- Training summary
Delivery Methods
Online
- Convenience of participating from anywhere
- Interactive live sessions with trainer
- Materials available for 30 days
- No travel costs
On-site
- Direct contact with trainer and group
- Intensive hands-on workshops
- Networking with other participants
- Full focus on learning
Frequently asked questions
Who is the Successful AI implementation training for?
The training is aimed at managers, team leaders, owners of AI initiatives and people responsible for projects and organizational change. It requires basic experience in using AI tools; no project management experience is required.
How long is the Successful AI implementation training?
The training lasts 2 days (16 training hours). Delivered online or onsite.
Will I receive a certificate after the training?
Yes — each participant receives a certificate of completion confirming the competencies gained. EITT holds ISO 9001 accreditation.
Can the training be delivered for a closed group?
Yes — we offer closed, dedicated training for companies. We adapt the program to the needs of your team. Contact us for an individual quote.
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Funding Options
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Development Services Database
Up to 80% funding for SMEs from EU funds
Check availabilityNational Training Fund
Up to 100% funding for employers
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