AI Roadmap Workshop
The clear roadmap for your successful AI implementation
A well-thought-out AI roadmap is the key to systematic and successful introduction of Artificial Intelligence.
Workshop Leader
Haris Yalcinkaya
Our outstanding supporters
Workshop Overview
Implementing AI is not a sprint, but a marathon – and every successful marathon begins with clear route planning. Our AI Roadmap Workshop gives you exactly this orientation. We analyze together your status quo, define realistic goals, and develop a time-phased implementation plan. We consider technical dependencies, organizational framework conditions, and available resources. You'll learn how to identify quick wins that create early successes and acceptance while simultaneously laying the foundation for more complex AI projects. Our roadmap methodology is based on proven frameworks and has been successfully implemented in numerous companies. At the end of the workshop, you'll have a visual, comprehensible roadmap with clear milestones, responsibilities, and success criteria. This serves as a binding guide for your AI journey and enables you to measure progress and adjust course when needed. Start your AI transformation with a clear plan.
Your benefits
What you can expect from this course
Reduced project risk through clear planning
Early successes through quick win identification
Optimal resource utilization
Transparency for all stakeholders
What you'll have after the workshop
Concrete results and deliverables
Detailed 12-24 month AI roadmap
Prioritized project pipeline
Quick win catalog for first 90 days
Competency development plan
Governance and steering structure
Stakeholder communication plan
About this workshop
A well-thought-out AI roadmap is the key to systematic and successful introduction of Artificial Intelligence. In our workshop, we develop together a detailed roadmap that translates your AI vision into concrete, actionable steps. We show you how to prioritize AI projects, define milestones, and optimally deploy resources. With our proven methodology, you'll master the balance between quick wins and long-term transformation.
Objectives
- Development of a detailed AI implementation roadmap
- Prioritization of AI projects by effort and benefit
- Definition of milestones and success criteria
- Planning of resources and dependencies
Learning Outcomes
- Competence in roadmap development for AI projects
- Ability to prioritize and sequence initiatives
- Understanding of dependencies and critical success factors
- Know-how in agile program management for AI
Our methodology
- Roadmapping best practices
- Agile portfolio planning
- Dependency mapping
- Value stream mapping for AI
- OKR framework for goal setting
Deliverables
- Visual AI roadmap with timeline
- Prioritized project list with effort estimates
- Milestone and deliverables plan
- Resource and competency plan
- Risk and dependency matrix
Workshop Details
Target Audience
Program managers, transformation leaders, CTOs and project managers who want to introduce AI in a structured way in their company
Format
Hybrid
Duration
1-2 days + follow-up
Group Size
8-25 participants
Prerequisites
- • Overview of planned or possible AI projects
- • Understanding of company structures and processes
- • Mandate to plan transformation projects
Agenda
- • Start: Current state assessment
- • Session 1: Vision development and goal setting
- • Session 2: Project prioritization and sequencing
- • Session 3: Roadmap development and milestones
- • Session 4: Resource planning and risk management
- • Conclusion: Communication and next steps
Tools & Methods
- • Digital roadmapping tools
- • Project prioritization matrix
- • Dependency mapping software
- • Resource planning templates
- • Progress tracking dashboards
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 roadmap workshop
Contents:
- Introduction to AI roadmapping
- Analysis of current AI initiatives
- Initial prioritization and sequencing
- Rough roadmap development
- Quick win identification
Terms apply Terms and Conditions
2-Day Workshop
Intensive roadmap workshop with detailed planning
Contents:
- Comprehensive roadmap development
- Detailed project prioritization
- Milestone and resource planning
- Risk assessment and mitigation
- Stakeholder communication plan
- 90-day action plan
Your result:
- Complete AI roadmap
- Project portfolio
- Milestone plan
- Quick win list
Terms apply Terms and Conditions
Mastery
Roadmap development with continuous support
Contents:
- Individual roadmap workshop
- Detailed elaboration of all projects
- Monthly roadmap reviews
- Agile adjustment and optimization
- Program management support
- Executive reporting and steering
Your result:
- Living roadmap
- Implemented governance
- Successful milestones
- Continuous optimization
Terms apply Terms and Conditions
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Why an AI roadmap is indispensable now
Seize the opportunities before it's too late
AI projects without roadmaps have a 70% higher failure rate
Structured planning secures stakeholder buy-in and budget approvals
Clear roadmaps accelerate time-to-value by up to 50%
Competitors with roadmaps are already 2-3 steps ahead
Agile roadmaps enable quick adaptation to market changes
Early planning prevents expensive course corrections and duplicate work
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