AI Strategy Workshop
Your compass for successful AI transformation
A well-thought AI strategy is the key to successful digital transformation of your company.

Workshop Leader
Haris Yalcinkaya
Our outstanding supporters
Workshop Overview
An AI strategy is your clear compass in the complex world of artificial intelligence. Without it, isolated island solutions and short-lived projects emerge that are neither sustainable nor scalable. In our workshop, we develop your individual AI strategy together, covering all relevant aspects: from vision and goals through governance and organization to concrete use cases and a detailed implementation roadmap. Our experts bring years of experience from research and practice and guide you step by step in developing your strategy. We consider not only technical aspects but also organizational, ethical, and regulatory requirements. At the end, you'll have a clear roadmap showing how to use AI investments purposefully, minimize risks, and create sustainable added value. Use the current momentum and secure real competitive advantages with a solid strategy.
Your benefits
What you can expect from this course
Avoid island solutions and bad investments
Risk minimization through structured planning
Competitive advantages through early positioning
Sustainable integration of AI into corporate culture
What you'll have after the workshop
Concrete results and deliverables
Comprehensive AI strategy with 12 core components
Prioritized use case pipeline
Detailed implementation roadmap
Governance and compliance framework
Change management concept
Metrics dashboard for success measurement
About this workshop
A well-thought AI strategy is the key to successful digital transformation of your company. In our AI Strategy Workshop, we work together with you to develop a systematic framework that defines how your company can optimally use artificial intelligence to achieve concrete business goals. We analyze your current situation, identify potential, and develop a sustainable strategy for integrating AI technologies into your business processes and corporate culture.
Objectives
- Develop a holistic AI strategy for your company
- Define vision, goals, and success criteria
- Create a concrete implementation roadmap
- Build governance structures for AI projects
Learning Outcomes
- Understanding of strategic AI planning and implementation
- Ability to develop a company-specific AI vision
- Competence in evaluating AI investments and ROI
- Know-how for sustainable change management in AI projects
Our methodology
- Structured strategy development
- Best practice frameworks
- Design thinking for vision development
- Agile roadmap planning
- Stakeholder alignment workshops
Deliverables
- Complete AI strategy with 12 core components
- Detailed implementation roadmap
- Governance framework for AI projects
- Metrics and KPIs for success measurement
- Change management plan
Workshop Details
Target Audience
CEOs, C-level executives, strategy managers, and innovation managers who want to strategically anchor AI in the company
Format
Hybrid
Duration
1-2 day workshop + 4-6 weeks strategy creation
Group Size
5-15 executives
Prerequisites
- • Strategic decision-making authority in the company
- • Basic understanding of own business processes
- • Readiness for company-wide transformation
Agenda
- • Workshop phase: Vision & requirements analysis (2-4 hours)
- • Concept phase: Creation of strategy roadmap (1 day)
- • Strategy phase: Development of all 12 components (4-6 weeks)
- • Optional: Piloting selected use cases
Tools & Methods
- • AI Strategy Canvas
- • Maturity Assessment Tools
- • ROI Calculators
- • Governance Templates
- • Change Management Toolkit
Typical day schedule

Your Expert
Haris Yalcinkaya
M.Sc. Computer Science, TU Dortmund
Founder, Speaker, Senior AI Consultant-Developer
Expertise & Qualifications
- Master's degree with distinction (1.0) in Computer Science
- Consulting and implementation for more than 10+ medium-sized companies and corporations
- Master thesis in AI and XR on: Rendering-assisted Deep Learning for Reconstruction of Physically-Consistent Scenes
- 1.5 years of industry experience in R&D in AI, Computer Vision, Data Science, Labeling, C++, Python, GUI and technical customer communication
Our packages
Workshop
Compact strategy workshop
Contents:
- Introduction to strategic AI planning
- Analysis of your current starting position
- Identification of strategic action areas
- First vision and goal definition
- Rough roadmap sketch
Terms apply Terms and Conditions
2-Day Workshop
Intensive strategy workshop with roadmap
Contents:
- Comprehensive strategy development
- Detailed current state analysis and target definition
- Development of vision, mission, and goals
- Concrete use case identification
- Creation of detailed roadmap
- Governance structures and KPIs
Your result:
- AI vision and strategic goals
- Prioritized use case list
- Implementation roadmap
- Governance framework
Terms apply Terms and Conditions
Mastery
Complete strategy creation and support
Contents:
- Workshop & concept (2-4 hours)
- Tailored roadmap (1 day)
- Strategy creation with all 12 components
- Piloting selected use cases
- Change management support
- Long-term strategy partnership
Your result:
- Complete AI strategy
- Implemented pilot projects
- Established governance
- AI-competent organization
Terms apply Terms and Conditions
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Why you need an AI strategy now
Seize the opportunities before it's too late
Technical breakthroughs make AI practically usable and affordable today
Regulatory developments (EU AI Act) require structured approach
Growing data inventories offer untapped potential for AI applications
Competition is investing massively - those who don't act now will lose connection
Specialists expect modern, AI-supported work environments
Current momentum offers unique first-mover advantages
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