Training : AI-Powered Requirements Management – Capture, Analyze, and Validate Requirements Faster
Upon request
1–2 days
Munich, Online, or In-House
Upon request
German or English
Digital Certificate of Participation
How Artificial Intelligence (AI) Is Transforming Requirements Engineering—From Automated Requirements Capture to Intelligent Quality Assurance: Information is scattered across emails, documents, tickets, and meetings; coordination takes a long time; and unclear requirements lead to rework and delays. This is exactly where our training course on AI-supported requirements management comes in: It shows how artificial intelligence (AI) is transforming requirements engineering—from automated requirements capture to intelligent quality assurance. You’ll learn how to use modern AI methods and a specialized requirements capture tool to automatically capture requirements, analyze them intelligently, and process them consistently. About the tool: The training uses the Requirements Engineering AI Tool from Ventum Consulting. The solution helps teams capture requirements in a structured manner, integrate knowledge sources, automatically verify quality, and generate complete, auditable artifacts—including acceptance criteria and test cases.
Content and Structure of the AI Requirements Management Training Course
This continuing education program combines modern requirements engineering with the practical application of artificial intelligence and AI-powered tools.
- An Introduction to the Potential of AI for Requirements Engineering
- Comparison of Traditional and AI-Based Methods
- Time savings, quality improvements, and traceability
- Limits, Risks, and Ethical Issues
- Human Oversight and the Responsible Use of AI
- Overview of Modern AI-Driven Processes in Requirements Engineering
- AI-powered analysis of documents, emails, and meeting minutes
- Consolidating various sources into a consistent set of requirements
- Automated Classification of Requirements
- Prioritization based on business value, risk, and effort
- Identifying Conflicts, Dependencies, and Ambiguities
- Use of Knowledge Sources and Automatic Knowledge Enrichment
- Automated quality checks for requirements (unambiguity, testability, completeness)
- Completeness Analysis and Identification of Gaps
- Consistency checks throughout the entire project
- Prioritization Algorithms and Requirement Evaluation
- Automatic Generation of Acceptance Criteria and Test Cases
- Quality Assessment and Structured Export Options
- Real-time quality scores and transparent evaluation mechanisms
- Automated Reporting and Requirements Overviews
- AI-Powered Communication Recommendations
- Data Privacy, Data Security, and Governance in AI-Driven Requirements Engineering
- Transparency and Traceability of AI Results
- Role-Based Collaboration Between Business Units, IT, and Development
- Responsible Use of Artificial Intelligence in the Workplace
- Conducting a comprehensive AI-driven requirements gathering process based on realistic use cases
- Analysis and structuring of requirements derived from documents, tickets, and stakeholder input
- Using the AI Interview to Identify Missing Information and Connections
- Development of structured requirements, including acceptance criteria
- Prioritizing and Reviewing Requirements as a Team
- Exporting and transferring results to existing project and development systems
- Identifying specific applications for one’s own organization
What You Can Put into Practice Right Away After the AI-Powered Requirements Management Training
After completing the training, you will be able to use AI-powered requirements engineering productively and securely within your organization.
- Automated Collection and Organization of Requirements
- Intelligently analyze documents, tickets, and stakeholder information
- Classify, Prioritize, and Evaluate Requirements
- Conducting Quality Tests and Consistency Analyses Using AI
- Automatically Generate Acceptance Criteria and Test Cases
- Making stakeholder communication more efficient
- Using the Requirements Gathering Tool Effectively in Your Daily Work
- Ensuring Transparency, Governance, and Traceability in AI-Supported Requirements Engineering
Who is the "AI-Based Requirements Management" training course intended for?
This continuing education program is intended for:
- Business Analysts
- Requirements Engineers
- Product Owner
- Project Managers
- Specialists and Managers in IT and Transformation Projects
- Teams that want to capture and manage requirements more efficiently
- Companies that want to put artificial intelligence to productive use in requirements engineering
Prerequisites for Participation in the AI-Based Requirements Management Training Course
No in-depth knowledge of AI is required.
Custom AI-Powered Requirements Management In-House Seminars
We design customized in-house training programs—tailored perfectly to your needs.
- Adaptation to Your Processes, Projects, and Systems
- Integration of your own documents, tickets, and requirements
- A combination of a seminar, a workshop, and tool training
- Hands-on exercises with real-world use cases
About Us as a Training Provider
We are a management consulting firm with many years of experience in requirements engineering, new technologies, and digital transformation. Our training courses combine methodological fundamentals with practical, AI-powered tool applications. In this way, we help companies capture requirements more efficiently, improve quality over the long term, and successfully implement AI-powered processes.
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Expertise in AI-Powered Requirements Engineering – Your Trainers
Senior Manager and expert in requirements engineering and AI-supported requirements analysis. He assists companies in the structured capture and optimization of complex requirements and teaches modern AI methods in a practical and understandable way.
Managing Expert for AI-powered requirements engineering and digital transformation. His focus is on intelligent requirements gathering, automation, and the integration of domain expertise, technology, and governance.
Request a no-obligation
appointment now
- Efficient: Automatically capture requirements from documents, tickets, and meetings
- Structured: Analyze, prioritize, and consistently process requirements in a smart way
- Quality Assurance: Identifying Ambiguities , Gaps, and Conflicts Early On
- Future-Proof: Embedding Governance, Transparency, and Responsible AI Use in Requirements Engineering
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-Powered Requirements Management Training Course
No. The training is structured so that even participants with no prior AI experience can quickly develop a solid understanding. You’ll learn the most important fundamentals directly through practical examples and specific use cases. The focus is not on technical development, but on productive application in requirements engineering.
The content can be applied across industries and is particularly relevant for companies with complex requirements and many stakeholders. Typical areas of application include IT, manufacturing, finance, healthcare, the public sector, and software development. Because the tool is flexibly configurable, it can easily map different domains and processes.
Yes. During the training, you’ll work directly with a specialized tool for AI-powered requirements gathering and analysis. You’ll learn the entire process—from automated data collection through quality assurance to structured export. The goal is for you to be able to use the tool confidently in your day-to-day work.
Yes. The results can be exported in a structured format and integrated into existing development and ticket processes. This allows requirements to be passed directly to project or development teams. It reduces data silos and ensures consistent processes between business units and IT.
AI primarily reduces the amount of manual coordination work and identifies gaps or ambiguities much earlier. This results in more complete and higher-quality requirements in less time. Especially in complex projects, this leads to less rework, clearer requirements, and faster decision-making processes.
All AI results remain transparent and traceable. Users actively review suggestions and decide for themselves whether to approve or modify them. This “human-in-the-loop” approach ensures that humans retain control at all times and further safeguards the quality of the requirements.
Data protection, governance, and the responsible use of AI are central components of the solution. Role-based access, traceable processing, and controlled data flows support secure use in an enterprise context. In addition, transparency and traceability are incorporated throughout the entire requirements process.
Yes. The training can be customized to your organization, your processes, and your requirements. Your own documents, tickets, or real-world project examples can be directly incorporated into the training. This ensures a high degree of practical relevance and enables participants to quickly apply what they’ve learned to their daily work.
The content is highly practical in nature and directly applicable to real-world work situations. Many participants begin using the methods and features they’ve learned in projects or coordination efforts immediately after the seminar. Structured requirements gathering and quality assurance, in particular, lead to quickly visible improvements.