Seminar on Implementing AI Projects and AI Use Cases Cost-Effectively
Upon request
1–2 days
Online, in Munich, or in-house
Upon request
German or English
Digital Certificate of Participation
From the Initial Idea to Measurable Business Value: Evaluating, Piloting, and Successfully Scaling AI Projects. Artificial intelligence offers companies numerous opportunities to improve processes, reduce costs, and tap into new business potential. However, not every AI idea is automatically economically viable. The key is to identify suitable use cases, realistically assess their benefits, and develop initial concepts into actionable projects with clear outcomes. The training course “Implementing AI Projects and AI Use Cases Profitably” shows you how to systematically analyze AI potential and develop viable business cases. You’ll learn to evaluate investments, operating costs, data requirements, and risks; set up suitable pilot projects; and measure economic success using appropriate KPIs. This will help you create a solid foundation for management decisions and the sustainable scaling of AI solutions.
Seminar Content and Agenda: Implementing AI Projects and AI Use Cases Cost-Effectively
The training course combines AI strategy, business case development, data analysis, and project implementation with specific real-world business scenarios.
- Analyze business processes, tasks, decisions, and value chains
- Identify the Potential of AI in Automation, Analytics, Assistance, and Generative AI
- Developing and Structuring Specific AI Use Cases
- Distinguish between practical applications and projects that are unsuitable or overly complex
- Assess Business Value, Effort, Risk, and Strategic Relevance
- Analyze data availability, data quality, technical requirements, and organizational dependencies
- Prioritize quick wins, pilot projects, and strategic initiatives
Results
: Prioritized AI use cases with a clear assessment of their benefits, feasibility, and strategic importance.
- Determine investment, operating, integration, and follow-up costs
- Calculate Total Cost of Ownership, ROI, Break-even, and Cost per Task Completed
- Assess potential for productivity, quality, revenue, and risk
- Develop Robust Business Cases for Prioritized AI Projects
- Define the MVP, proof of value, scope of the pilot, requirements, and success criteria
- Select appropriate models, platforms, tools, and operating models
- Plan the budget, resources, roles, schedule, and responsibilities
- Prepare tests, user feedback, and validation loops
Result
A business case ready for implementation, including a pilot concept, budget, KPIs, and a clear case for value.
- Integrating AI solutions into existing processes, systems, and organizational structures
- Managing Milestones, Risks, Dependencies, and Project Progress
- Establish monitoring, reporting, and ongoing cost-effectiveness reviews
- Measuring usage, quality, acceptance, productivity, and financial impact
- Take into account data protection, information security, compliance, and the responsible use of AI
- Define roles, approvals, governance, and human oversight
- Shaping Change Management, Communication, and Capacity Building
- Translate successful pilot projects into scalable solutions
- Develop a roadmap for additional business areas and use cases
Outcome: A concrete roadmap for the cost-effective implementation, scaling, and sustainable integration of AI projects.
What You Can Apply Immediately After Completing the "Implementing AI Projects and AI Use Cases for Business" Training
After completing this training, you will be able to systematically evaluate AI projects, justify them from a business perspective, and implement them in a structured manner.
- Identifying Suitable AI Opportunities in Processes and Business Models
- Prioritize AI Use Cases Based on Benefit, Effort, Risk, and Feasibility
- Evaluate Data Requirements and Technical Prerequisites
- Develop business cases with robust cost and benefit assumptions
- Calculate ROI, TCO, break-even point, and other profitability metrics
- Planning MVPs, Proofs of Value, and Pilot Projects
- Define KPIs for usage, quality, acceptance, and financial impact
- Securely Integrate AI Solutions into Existing Systems and Processes
Who is the "Implementing AI Projects and AI Use Cases Cost-Effectively" seminar intended for?
This training is intended for:
- Head of AI, Digitalization, and Transformation
- Project Manager and Program Manager
- Executives and managers with investment responsibilities
- Business and Process Owners
- Managers from the Data, Analytics, and IT departments
- Innovation and Strategy Departments
- Companies that want to use and scale AI in a way that makes good business sense
The content is suitable both for initial AI projects and for companies that want to further develop existing pilot projects.
Prerequisites for Participation in the Seminar on Implementing AI Projects and AI Use Cases in a Cost-Effective Manner
A basic understanding of business processes, project management, or corporate management is helpful. Prior technical knowledge in the field of artificial intelligence is not required.
Training Courses on Implementing Custom AI Projects and AI Use Cases Cost-Effectively
- Customized Professional Development for Companies and Project Teams
- Evaluation of Our Own Processes, Data, and AI Ideas
- Development of Customized Business Cases and Pilot Concepts
- Integration of custom metrics, tools, and management requirements
- Offered as a seminar, workshop, or in-house training session
About Us as a Training Provider
We are an experienced management consulting firm with expertise in digital transformation, business development, data, analytics, and artificial intelligence. Our training programs combine strategic business questions with concrete methods for evaluating, implementing, and scaling AI projects. We help companies turn AI ideas into viable projects, provide sound justification for investments, and integrate solutions sustainably into their organizations and processes. Our focus is on business value, measurable results, and a realistic implementation strategy.
01
02
03
04
05
06
Expertise in AI Strategy and Business Implementation – Your Trainer
Jonas Kuhlmann helps companies develop digital strategies and implement AI projects in a cost-effective manner. He demonstrates how to systematically evaluate AI use cases, develop business cases, and set up pilot projects with clear success criteria. In doing so, he combines a deep understanding of technology with a business-oriented approach and a clear focus on measurable results. Participants learn not only to view AI projects from a technical perspective but also to evaluate them thoroughly in terms of benefits, costs, risks, acceptance, and scalability.
Request a no-obligation
appointment now
- Evaluating and Implementing AI Use Cases from a Business Perspective
- Customized Professional Development for Companies and Project Teams
- Proven expertise in AI, business cases, data, and implementation
- Ready-to-use methods for ROI, piloting, and scaling
TISAX and ISO certification apply only to the Munich location
Your message
TISAX and ISO certification apply only to the Munich location
Discover more continuing education programs, seminars, and training courses
ChatGPT Training: Using AI Professionally in Your Daily Work
Less effort, more impact: By using ChatGPT strategically, you can turn daily routines into real value creation.
ChatGPT and Copilot Training: Save Time in Your Daily Life with AI and Effective Prompt Engineering
In this training session, learn how to use ChatGPT, Copilot, and targeted prompt engineering to efficiently integrate artificial intelligence into your daily work—for greater innovation, value creation, and productivity.
Product Owner Training: Your Guide to Successful Scrum Teams
In this training course, you’ll learn how to fulfill your role as a Product Owner strategically and effectively—for greater clarity, focus, and sustainable success in day-to-day agile project work.
Resilience Seminar for Executives
In this resilience seminar for leaders, learn how to use proven methods and effective routines to strengthen your own resilience and that of your team—for greater confidence, clarity, and stability in challenging leadership situations.
Release Manager Training
In this training, learn how to establish and optimize structured and agile release management processes to ensure faster and more reliable service delivery in your organization.
Requirements Engineering Training: The Key to Successful Projects
In this training course, you’ll learn how to create clearly defined requirements and, as a result, make your projects more efficient, more customer-focused, and less risky—for demonstrable success right from the start.
Resilience Training for Executives, Teams, and Employees: Targeted Strengthening of Resilience
Training: How to Attract, Lead, and Retain Generation Z
Find out here how to apply modern leadership approaches to successfully inspire, attract, and retain young Generation Z talent in your company.
Scrum Basics Training – Agile Fundamentals for Sustainable Business Success
In this course, you’ll learn the basics of agile work using Scrum. You’ll gain practical insights and learn how to effectively use modern project management methods and apply them directly.
FAQ – Frequently Asked Questions About the Seminar on Implementing AI Projects and AI Use Cases Cost-Effectively
A use case should not only be technologically feasible, but also economically relevant and organizationally implementable. During the training, you will evaluate, among other things, benefits, effort, data availability, risk, scalability, and strategic importance. This will enable you to distinguish promising projects from costly or unsuitable ideas.
Topics covered include total cost of ownership, ROI, break-even, and cost per task completed. In addition, productivity, quality, revenue, risk reduction, and acceptance can be evaluated. Which metrics are appropriate depends on the goal and scope of the respective AI project.
A proof of value assesses whether an AI solution can actually deliver the expected business benefits. This involves testing a clearly defined use case with specific success criteria. In this training, you will learn how to plan such a test in a structured manner and evaluate the results in a transparent way.
Yes. Your own processes, data, use cases, and project ideas can be integrated into the training. For in-house formats, the business case and pilot concept can be tailored directly to your organization. Confidential information should only be used in authorized systems or in anonymized form.
Data quality, availability, and access rights are critical prerequisites for many AI applications. During training, you analyze whether the existing dataset is sufficient for a use case and what improvements are needed. This helps prevent future delays and misallocated investments.
Before scaling, results, costs, quality, usage, acceptance, and risks are evaluated. The pilot should only be rolled out to other areas if it delivers demonstrable added value and is organizationally viable. In this training, you will develop criteria for this decision and for the subsequent scaling plan.
Data protection, information security, and compliance are integral parts of the continuing education program. You will learn what data may be processed, what approvals are required, and how human oversight is ensured. In addition, the program covers governance, responsibilities, and secure operating models.
Acceptance is fostered through transparent communication, employee involvement, and appropriate training. Employees should understand the benefits the solution offers and how their responsibilities will change. During the training, you will develop strategies for change management, skill development, and sustainable use.