Regulatory Writing with Closed-Loop Gen-AI that Protects IP and Saves Time

Many regulatory writers are facing increased pressure to produce safety narratives, clinical study reports (CSRs) and other critical documents quickly, often relying on manual copy-paste methods that cause delays and elevate risks.

Join this webinar to examine the limitations of traditional workflows and explore how secure, closed-loop generative AI (Gen-AI) can improve both speed and consistency in regulatory writing while safeguarding proprietary information.

The featured speaker will frankly discuss the risks associated with open Gen-AI systems, particularly around data exposure, and will highlight the benefits of closed-loop solutions designed specifically for regulatory writing teams.

Attendees will gain a clear understanding of how blended AI systems enhance document generation accuracy, how automation can be applied to CSRs and narrative development and how these tools can significantly reduce manual effort and approval timelines.

Register for this webinar to learn how closed-loop Gen-AI is transforming regulatory writing through secure, efficient automation.

Speaker

Mark Pittman, Chief Revenue Officer, ZYLIQ

Mark Pittman has played a central role in advancing regulatory automation, with deep experience translating medical writing needs into effective software solutions. His work has been instrumental in positioning ZYLIQ as a leader in Gen-AI for regulatory writing.

Before entering the life sciences sector, Mark helped close the gap between user needs and software development for clients in the airline, banking and retail industries. He holds a degree from the Hankamer School of Business at Baylor University.

Message Presenter