Using AI for Regulatory Workflows: Practical Applications with Claude

Large language models such as Claude can support regulatory professionals in handling complex information, drafting structured documents, comparing requirements, preparing assessments, summarizing guidance documents, and improving consistency across regulatory workflows. Used correctly, AI can become a practical assistant for regulatory intelligence, technical documentation, audit preparation, gap analysis, and internal knowledge management.

Regulatory use requires clear instructions, reliable source material, critical review, confidentiality awareness, and a structured approach to verification. The value of AI in regulatory affairs depends less on “prompt tricks” and more on understanding how to design repeatable, controlled, and reviewable workflows.

This training provides medical device professionals with a practical introduction to using Claude for regulatory purposes. It focuses on real-world regulatory tasks, safe working principles, effective prompting, document-based analysis, structured outputs, and the responsible use of AI in a compliance-driven environment.

Participants will learn how to use Claude to support regulatory research, technical documentation preparation, audit planning, requirement mapping, gap analysis, meeting preparation, and knowledge structuring — while maintaining professional judgment, confidentiality, traceability, and human oversight.

Key Topics Covered:

• Introduction to Claude and its relevance for regulatory and quality professionals
• Strengths and limitations of large language models in regulatory work
• Safe and responsible use of AI: confidentiality, data protection, verification, and human oversight
• Effective prompting for regulatory tasks: context, role, objective, sources, constraints, and output format
• Working with regulatory documents, guidance documents, standards summaries, and technical documentation excerpts
• Using Claude for regulatory intelligence, requirement mapping, gap analysis, and structured comparison tables
• Drafting and improving regulatory documents, audit questions, technical documentation sections, meeting notes, and training materials
• Using Claude Projects and reusable instructions to build structured regulatory workflows
• Use of Claude Artifacts for creating structured outputs, review tables, templates, and reusable working documents
• Practical examples for MDR, EU AI Act, and AI-enabled medical devices
• Common risks: hallucinations, outdated information, weak source control, overreliance, and false confidence
• Practical exercises and Q&A sessions

Benefits

• Understand how Claude can support regulatory affairs, quality management, auditing, and technical documentation work
• Learn how to structure prompts and workflows for more consistent and reviewable outputs
• Improve efficiency in regulatory intelligence, document review, gap analysis, and requirement mapping
• Recognize the limitations and risks of AI-generated outputs in compliance-related work
• Learn how to apply source-based verification and human review before using AI-supported results
• Build reusable workflows for recurring regulatory tasks
• Strengthen AI literacy within regulatory and quality teams while maintaining compliance discipline

Certificate: Participants receive a Certificate of Attendance of DQS MED GmbH

Target Audience: Regulatory affairs, quality management and compliance professionals in the medical device industry. Regulatory specialists, quality managers, auditors, documentation assessors and regulatory intelligence teams. Engineers, developers, project managers and clinical professionals using regulatory information. Suitable for beginners and professionals with initial generative AI experience. No programming skills or advanced AI expertise required, basic knowledge of medical device regulations, QMS or technical documentation is beneficial.