Training: Implementing AI in Organizations
Level
IntermediateDuration
16h / 2 daysDate
Individually arrangedPrice
Individually arrangedTraining: Implementing AI in Organizations
Artificial intelligence is becoming a key driver of digital transformation in companies. The Implementing AI in Organizations training shows how to effectively prepare an organization for AI adoption, select the right use cases, run pilots, and scale solutions. Participants will learn to identify business opportunities, plan projects, measure effectiveness, and manage change within teams. The program covers both fundamentals and practical workshops using real case studies.
What will you learn?
- Identify and prioritize processes where AI will deliver the most value
- Plan and execute AI pilot projects, including defining KPIs and measuring ROI
- Build AI implementation strategies – from single projects to enterprise-wide scaling
- Design Human+AI collaboration environments across different business areas
- Manage change and communication during AI rollouts
- Avoid common pitfalls and recognize technological, legal, and ethical barriers
- Foster an organizational culture that supports innovation
Who is this training for?
Managers and team leaders responsible for digital transformation-
Strategy and innovation specialists
-
Analysts and consultants implementing AI solutions
-
Entrepreneurs and business owners planning AI adoption
-
HR professionals and change management leaders
Training Program
-
Day 1 – Preparing the organization for AI
-
Module 1 – AI basics and identifying use cases
- Intuitive explanation of AI and GenAI
- Overview of tools and business areas where AI creates value
- Process mapping and identifying automation opportunities
- Exercise: Automation opportunity mapping
-
Module 2 – Prioritization and initiative planning
- Criteria for evaluating AI projects: business potential and implementation complexity
- Creating an “innovation funnel” – from idea to deployment
- Workshop: initiative list and project prioritization
-
Module 3 – Human+AI work environments
- Human–AI collaboration in practice (HR, procurement, sales, customer service)
- Designing AI-enhanced processes
- Workshop: participants’ case studies
-
Module 4 – Challenges and success factors
- Common barriers in AI adoption and how to minimize them
- Legal and ethical aspects (GDPR, AI Act, bias)
- Discussion: building a culture open to innovation
-
Day 2 – Pilots and deployment
-
Module 5 – Planning and executing a pilot
- Scope, KPIs, and requirements of an AI pilot project
- Data architecture and system integration
- Workshop: pilot plan development
-
Module 6 – Evaluation and scaling
- Measuring AI effectiveness and ROI
- Decision criteria: scale, pivot, or stop the project
- Case study: real-world AI adoption in organizations
-
Module 7 – Change and competency management
- AI Center of Excellence and capability building in the organization
- Psychological aspects of AI acceptance in teams
- Workshop: change communication – convincing employees
-
Module 8 – The future of AI-powered organizations
- How AI is reshaping job roles and the future of work
- Discussion: AI challenges and perspectives in organizations
