Regulatory Affairs Managers

Regulatory Affairs work is still mostly done by people. There are new AI tools that help with paperwork and quality checks, but they haven’t taken over the job. For example, life-science companies now use smart software to automate parts of quality testing and validation – which is a related compliance task – to “dramatically reduce costs, errors, and cycle times” ^[1].

AI help could do similar things in regulatory affairs: drafting submission reports or flagging compliance issues in text. In fact, a recent study of corporate communications found that generative AI could save 26–36% of people’s time on writing and data tasks ^[2]. However, tasks like investigating product complaints or talking with regulators need human judgment.

Even the new “policy as code” AI systems still log decisions and require human oversight to make sure all actions follow the rules ^[1]. In short, AI can help with data and writing, but managers still handle the real investigation, strategy, and agency conversations – skills computers can’t match.

Companies will move to AI in regulatory work mainly for efficiency and savings, but only slowly. On one hand, the potential benefits are big: experts say automating routine compliance steps can cut costs and speed up work ^{[1] [2]}. On the other hand, compliance is high-risk.

Nearly one-third of firms report that legal or regulatory concerns hold back their AI projects ^[1]. Because regulators watch this area closely, managers must be very careful. Good reasons to adopt AI include labor shortages or expensive tasks – but budgets and training are needed.

Social and ethical trust is also key: businesses must show that AI won’t break safety or privacy rules. In practice, experts say AI in regulated industries needs “guardrails” and human checks ^[1]. The good news is that using AI for paperwork and data crunching can free up people for higher-level work.

So while change may come slowly, it can give Regulatory Affairs managers back time for the parts of the job that need creativity, judgment, and teamwork – skills AI can’t replace ^{[1] [1]}.