AI in Process Management Training – Analyzing, Optimizing, and Sustainably Developing AI-Supported Processes More Intelligently
Upon request
1–2 days
Munich, Online, or In-House
Upon request
German or English
Digital Certificate of Participation
AI-Driven Process Optimization: Greater Transparency, More Efficient Workflows, and Measurable Added Value for Businesses. Processes form the backbone of every business. At the same time, they are often characterized by data silos, manual steps, unnecessary approvals, or a lack of transparency. Artificial intelligence opens up new possibilities for analyzing processes more quickly, identifying weaknesses early on, and leveraging optimization potential in a targeted manner.
Our AI in Process Management training course shows you how to effectively use AI tools, process mining, automation, and AI agents in process management. You’ll learn to analyze existing processes using AI, evaluate relevant use cases, and develop initial AI-powered workflows for specific challenges. In doing so, we combine methodological fundamentals with strategic management, economic evaluation, and direct practical application.
Course Content and Structure of the AI in Process Management Training
This training course combines process management with modern artificial intelligence and demonstrates how AI-based solutions are developed, from the initial analysis through to sustainable implementation.
- Introduction to Artificial Intelligence, Generative AI, and AI-Driven Process Optimization
- Fundamentals of Process Management and Typical Business Processes
- Differences Between Rule-Based, Automated, and AI-Driven Approaches
- Overview of Relevant Technologies:
- Machine Learning
- Natural Language Processing
- Computer Vision
- Process Mining
- Opportunities, limitations, and legal and ethical frameworks
- Typical Applications of AI Throughout the Process Lifecycle
- Development of Structured Prompts for the Analysis, Evaluation, and Optimization of Processes
- Interplay between user prompts, system prompts, chat history, context, and memory
- AI-powered Process Mapping and Document Analysis
- Identify Vulnerabilities, Bottlenecks, and Recurring Errors Using AI
- Use of Process Mining, Predictive Analytics, and Benchmarking
- Development of alternative process options and ideas for improvement
- Critical Review and Iterative Improvement of AI Results
- Systematically Identify and Evaluate Relevant AI Use Cases in Process Management
- Assessment of benefits, effort, risks, data availability, and integrability
- Fundamentals of Process Automation and Relevant Low-Code/No-Code Tools
- Potential Applications of AI Agents in Multi-Step Process Flows
- Development of workflows for:
- Case Filing
- Feedback Analysis
- SOP Development
- Lessons Learned
- Integration of AI, automation, and existing enterprise systems
- Development and Testing of an AI-Based Optimization Approach for a Business Process
- Prototyping with Appropriate AI, Low-Code, and No-Code Tools
- Planning Proof-of-Concepts and Pilot Projects
- Testing and Comparing Different Process Variants
- Definition of KPIs, Success Criteria, and Quality Requirements
- Assessment of Costs, Benefits, ROI, and Scaling Potential
- Action Plan: From the First Prototype to a Stable Rollout
- Integration of AI-powered solutions into existing processes and IT environments
- Stakeholder Analysis and Addressing Acceptance Issues and Resistance
- Communication, Training, and Empowerment of Employees
- Governance, Data Protection, Quality Assurance, and Responsible Use of AI
- Establishing a Continuous Improvement Process Using AI
- Developing specific recommendations for action and next steps
Concrete Results—What You Can Apply Right Away After the AI in Process Management Training
After completing the training, you’ll be able to use AI tools and modern methods in a targeted manner to optimize business processes.
- Structured Collection and Analysis of Processes Using AI
- Identify weaknesses, bottlenecks, and opportunities for improvement
- Evaluate and Prioritize Suitable AI Use Cases
- Develop AI-powered workflows and automations
- Planning Prototypes and Pilot Projects for Specific Processes
- Integrating AI Solutions Sustainably into Existing Processes and Systems
Who is the "AI in Process Management" training course intended for?
This continuing education program is intended for:
- Process Managers and Business Process Owners
- Specialists and managers responsible for processes and organization
- Project Managers and Transformation Leaders
- Managers in the areas of digital transformation, IT, and process optimization
- Organizational Developer and Change Manager
- Companies that want to use AI to improve their processes
The content is suitable for both beginners and participants with some prior experience in process management or the use of AI tools.
Eligibility Requirements for the AI in Process Management Continuing Education Program
A basic understanding of process management or organizational development is helpful but not required. Prior technical knowledge in the field of artificial intelligence is not required.
Custom AI in Process Management Training Courses
We design customized in-house training programs—perfectly tailored to your needs.
- Customized Training Programs for Companies and Teams
- Development of proprietary tools, prototypes, and automation concepts
- Integration of Individual Data, Processes, and Use Cases
- A combination of a seminar, a workshop, and hands-on project work
- Support from the initial idea to the documented solution
About Us as a Training Provider for AI in Process Management Continuing Education
We are an experienced management consulting firm with expertise in process management, digital transformation, and artificial intelligence. Our “AI in Process Management” training program combines strategic management knowledge with practical methods for process analysis, automation, and sustainable implementation. We help companies realistically assess the potential of AI, develop suitable solutions, and integrate them securely into existing organizations and IT landscapes. In this way, artificial intelligence becomes an effective tool for more efficient processes and sustainable business development.
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Expertise in AI-Driven Process Optimization – Your Trainers
Thorsten Müller combines expertise in digital transformation, process optimization, and modern AI applications. He clearly explains how companies can use AI tools to analyze processes, identify opportunities for automation, and develop concrete improvement measures. He places particular emphasis on direct application: Participants learn to evaluate AI-supported process solutions, design initial workflows, and prepare for their implementation within the company in a structured manner.
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- Proven in Practice: Develop Your Own Tools, Prototypes, and Automations Directly with AI
- Accessible: Implementing Digital Applications Even Without Traditional Programming Skills
- Structured: Formulate requirements, test results, and iteratively improve solutions
- For Sure: Consider Data Protection , Code Quality, and Technical Limitations from the Very Beginning
- Connectable: Document prototypes and hand them over to development teams professionally
TISAX and ISO certification apply only to the Munich location
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TISAX and ISO certification apply only to the Munich location
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FAQ – Frequently Asked Questions About the AI in Process Management Training Course
No. The training course explains the technical fundamentals of AI in an accessible way and with a direct focus on process management. You do not need to know how to program AI applications to participate in the training. A basic understanding of business processes is helpful but not required.
In general, many recurring, data-intensive, or knowledge-based processes are suitable for the use of AI. Examples include process mapping, document analysis, feedback evaluation, the creation of standard operating procedures, and the handling of service requests. In this training, you will learn to systematically identify and evaluate suitable processes.
This training course provides an overview of relevant AI tools, process mining solutions, low-code/no-code platforms, and AI agents. What matters most is not a single tool, but the right combination of technology, process, and data. The selection process is based on specific use cases and business requirements.
Traditional automation typically follows fixed rules and predefined workflows. AI-powered solutions can also analyze unstructured information, recognize patterns, and generate situation-specific recommendations. In this training, you’ll learn when rule-based automation is sufficient and when the use of AI offers additional value.
Yes. In-house training, in particular, allows us to incorporate specific business processes, challenges, and existing systems. This enables the methods to be directly applied to your organization. Upon request, we can develop an initial solution or prototype for your specific process during the training.
Employees are key to successful implementation. They are familiar with actual workflows, can identify exceptions, and are able to assess whether a solution will work in everyday practice. That is why the training also covers communication, change management, skills development, and the responsible use of AI.
Data protection, governance, and quality assurance are integral parts of the training. You will learn what data may be processed, what protective measures are necessary, and how access can be controlled. The training also addresses risks such as inaccurate results, unclear responsibilities, and a lack of transparency.
Many methods can be applied immediately after the seminar—for example, to analyze a process, identify use cases, or develop an initial AI-powered workflow. In the case of customized in-house training sessions, these methods can be applied directly to an existing process within your company.