AI Potential Analysis Workshop – Identifying, Evaluating, and Strategically Implementing AI Potential
Although many companies know that artificial intelligence (AI) offers enormous potential, there is often a lack of clarity about where AI can truly be put to good use. Uncertainty arises between initial ideas, hype, and concrete implementation: Which processes actually benefit? What data is available? Which AI use cases are economically viable, realistic, and strategically relevant?
Our AI Potential Analysis Workshop provides exactly this kind of guidance. Together, we analyze your processes, data, and challenges, identify relevant AI opportunities, and use these insights to develop prioritized, actionable AI initiatives. Instead of theoretical discussions, we produce concrete areas for action, a solid basis for decision-making, and an initial roadmap for your AI transformation.
- Transparency Regarding the True Potential of AI in the Company
- Prioritized AI Use Cases Instead of Unorganized Lists of Ideas
- Structured evaluation based on benefits, effort, and risk
- Roadmap for Pilot Implementation, Scaling, and Organizational Embedding
Here's What You'll Get from the AI Potential Analysis Workshop
- Practical, not just hype: We focus on realistic, economically viable AI applications.
- Over 20 years of experience in digitalization and transformation: a combination of strategy, data, processes, and implementation.
- Business & IT Together: Departmental, management, and technical perspectives are integrated.
- Structured Evaluation Approach: Clear Prioritization Instead of a Confusing Collection of AI Ideas.
- Technology-agnostic & vendor-neutral: Focus on the right solutions rather than selling tools.
- Ready for immediate implementation: Results can be directly incorporated into pilot projects or AI roadmaps.
Content and Agenda of the AI Potential Analysis Workshop
The workshop is tailored to your company’s specific situation, level of maturity, data availability, and strategic goals. All modules build logically on one another and provide concrete results to inform your next decisions.
Module 01
Introduction & Shared Understanding of AI
Result: A shared vision and a realistic understanding of AI’s potential in a business context.
- Introduction to Current AI Technologies, AI Tools, and Applications
- An Overview of the Capabilities, Limitations, and Typical Applications of Modern Artificial Intelligence
- Classification of AI building blocks, AI agents, assistants, and automation options
- Building a shared understanding of opportunities, risks, and realistic expectations
Module 02
Assessment & Analysis of the Current Situation
Result: A clear overview of current processes, data, and potential areas for AI application.
- Analysis of relevant business processes, systems, and data sources
- Analysis of Organizational, Technical, and Subject-Matter Context
- Identification of existing challenges, bottlenecks, and opportunities for optimization
- Initial Assessment of Data Availability, Quality, and System Architecture
Module 03
Identification and Development of AI Use Cases
Result: A structured compilation of relevant AI opportunities and use cases that can be prioritized.
- Joint Development of Potential AI Use Cases
- Structured Idea Generation with Functional Departments and Management
- Refining and honing ideas into concrete use-case candidates
- Ongoing assessment of technical and organizational feasibility
- Focus on realistic, value-adding, and practical applications
Module 04
Evaluation, Prioritization, and Feasibility
Result: Prioritized AI use cases, including an initial feasibility and risk assessment.
- Evaluation of the identified use cases based on benefit, effort, and risk
- Consideration of cost-effectiveness, data availability, compliance, and integrability
- Prioritizing Potential AI Initiatives Based on Strategic and Operational Criteria
- Discussion of Possible Pilot or Proof-of-Value Approaches
Module 05
Roadmap & Next Steps
Result: A concrete action plan as the foundation for the company’s AI transformation.
- Developing specific recommendations for action and implementation options
- Developing a Pragmatic AI Roadmap
- Defining the first pilot projects, responsibilities, and priorities
- Recommendations on Governance, Responsibilities, and Organizational Integration
- Planning the Next Steps for Pilot Testing, Scaling, and Further Development
Who is the AI Potential Analysis Workshop designed for?
The workshop is designed for companies that want to evaluate AI in a structured way and integrate it effectively into their organization.
- Executive Management & C-Level
- Departments & Process Owners
- IT and Data Managers
- Innovation and Digitalization Leaders
- Companies with initial AI ideas or ongoing AI initiatives
- Teams that want to develop a structured AI strategy
Tangible Results—What Your Team Will Be Able to Do After the AI Potential Analysis Workshop
After the AI Potential Analysis Workshop, you will have a solid foundation for implementing AI in your company in a structured and targeted manner:
- Documented AI Potential Across Your Processes and Data Landscape
- Prioritized AI Use Cases with Business Value
- Initial Risk and Feasibility Assessment
- Roadmap for Pilot Implementation and Scaling
- Recommendations for Governance, Roles, and Responsibilities
- A Basis for Decision-Making for Management and Functional Departments
- Optional: Preparation of a proof of value or pilot project
AI Potential Analysis Workshop: Group Size, Location & Format, Cost
To ensure that organization, time and impact fit together perfectly, we clarify the framework conditions early on and tailor the format and scope to your objective.
- Group size: Workshops for up to 20 people (larger groups upon request)
- Location & format: on site at your premises, remote or hybrid; on request in our office in Munich
- Costs: depending on duration, scope and group size; on request
- Additional Services: Follow-up Workshops, Pilot Design, Architecture Assessment, AI Governance Consulting
Your Experts in the AI Potential Analysis Workshop
About Ventum
With over 20 years of consulting experience, we combine in-depth expertise in the introduction of digital innovations such as artificial intelligence with tried-and-tested methods.
Over 20 Years of Digitization
From strategy to effective implementation.
Business & Tech Combined
We connect academic departments, IT, and management.
Hands-on instead of slides
We build real-world solutions with your teams.
Technology-neutral
Microsoft, open source, or hybrid platforms—whatever works best for your business.
Quick Added Value
From an idea to a live demo in just a few days.
Sustainable Knowledge Transfer
Your teams learn directly through real-world projects.
Our references and projects in AI and data
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- Business-oriented approach: Focus on benefits, cost-effectiveness, and scalability.
- Vendor-neutral & technology-agnostic: No reliance on specific tools, just the right solutions.
- Proven workshop methodology: structured facilitation and clear prioritization.
- A Bridge Between Business and IT: A Shared Understanding Instead of Isolated Perspectives.
TISAX and ISO certification apply only to the Munich location
Your message
FAQ – Frequently Asked Questions About the AI Potential Analysis Workshop
No. While many companies are aware that artificial intelligence offers potential, they are not yet able to clearly identify or prioritize those opportunities. That is exactly what this workshop is designed to address. Together, we will analyze processes, data, and challenges and use them to develop concrete, realistic AI use cases.
No. No special technical preparations are required for the workshop. It is simply helpful if relevant individuals from line organizations, IT, and management participate so that processes, data, and organizational frameworks can be evaluated together.
The workshop combines both perspectives. On the one hand, we examine strategic issues such as business value, prioritization, and organizational implications. On the other hand, we evaluate technical aspects such as data availability, integrability, and the feasibility of potential AI solutions.
The focus is not on selling specific tools or platforms, but rather on the structured identification and evaluation of meaningful AI potential. The goal is to provide a sound basis for decision-making for your company—one that is technology-neutral, realistic, and focused on implementation.
Yes. Many companies use the results directly as the basis for initial proof-of-value initiatives or pilot projects. The prioritized use cases and the roadmap enable a quick transition from analysis to practical implementation.
Data is a central component of the potential analysis. Together, we examine what data is already available, how its quality should be assessed, and what conditions need to be established for meaningful AI applications. This is not an in-depth technical analysis, but rather a realistic initial assessment.
Yes. The workshop is intentionally designed to be scalable and is suitable for both medium-sized companies and large organizations with complex processes and multiple business units.
Yes. Upon request, we can also assist with the next steps—from designing initial pilot projects, through architecture and governance issues, to the implementation of production-ready AI solutions and AI agents within the company.
Concrete, prioritized use cases and initial implementation ideas often emerge during the workshop itself. Many companies launch their first pilot or proof-of-value initiatives within a few weeks of the workshop.
Yes. Ongoing AI projects, existing tools, and current AI strategies are actively incorporated into the analysis. The goal is to build on existing investments in a meaningful way and avoid duplicating efforts.