Compliance Managers

AI and “RegTech” tools are beginning to help with the more routine parts of a compliance manager’s job. For example, software can scan and summarize large compliance documents or even draft standard policy text. Experts note that companies are already using AI to read complex rules and write first drafts of manuals or policies much faster than a person could ^{[1] [2]}.

Similarly, systems can watch over transactions and data continuously: machine-learning algorithms can flag odd patterns (like possible fraud or money-laundering), generate alerts or reports, and keep audit trails up to date ^{[3] [4]}. These tools mostly automate tasks like documentation, reporting, and basic data analysis – helping with the 65–75% of work that is “automatable.” But tasks involving judgment – advising managers, assessing risk strategy and building culture – still rely on people. In fact, experts warn that generic AI (like ChatGPT) can speed up compliance work, but it “can only augment – not replace – human compliance efforts,” since compliance needs near-perfect accuracy and legal understanding ^{[1] [2]}.

In short, current AI tech can help with the busywork (summaries, checklists, data review) but compliance professionals are still needed for the tricky, human-to-human parts of the job.

Many firms are curious about AI because it can save time and money. Surveys find that cost-cutting and faster work are the top reasons companies try AI for compliance ^[2]. Big companies with lots of data often adopt first, using AI to handle large document reviews or routine monitoring.

In banking and finance, for example, AI already reads rules and checks transactions 24/7 so human officers can focus on high-level strategy ^{[3] [2]}. However, adoption is cautious. Compliance people and regulators require very high accuracy and transparency.

As one expert puts it, compliance tasks need “more than perfect accuracy,” so most groups start with AI that assists them rather than taking over ^[1]. High-quality data and careful training are essential, and building that out takes time and investment. In short, while AI tools are commercially available (especially for reading texts and flagging risks) and can reduce expensive manual work, companies move forward carefully.

Overall, experts expect AI to “free up compliance professionals for higher-value work” – not to make them obsolete ^{[2] [1]}.