Drafting Regulatory Responses with AI
What you'll learn
- 1Structure AI-assisted responses to FDA Information Requests and EMA Day 120 questions
- 2Build prompts that maintain the formal tone and evidentiary rigor required by regulators
- 3Use AI to draft initial response outlines that map each question to supporting data
- 4Implement a review workflow that balances AI speed with regulatory quality standards
# Drafting Regulatory Responses with AI
When a health authority sends questions during the review of a submission — whether an FDA Information Request (IR), an EMA Day 120 List of Questions, or a PMDA inquiry — the clock starts ticking. Response timelines are often 30-90 days, and the quality of these responses directly impacts approval timelines.
Anatomy of a Health Authority Question
Regulatory questions are rarely simple. A single FDA IR item might contain three or four embedded sub-questions, each requiring data from different departments:
*"Please provide updated stability data for the drug substance manufactured at the proposed commercial site, including data from all batches manufactured using the revised Process B. Additionally, discuss the impact of the observed trend in Impurity X on the proposed shelf life, and provide a risk assessment if levels approach the qualified limit."*
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What you'll learn:
- Structure AI-assisted responses to FDA Information Requests and EMA Day 120 questions
- Build prompts that maintain the formal tone and evidentiary rigor required by regulators
- Use AI to draft initial response outlines that map each question to supporting data