Case Study: Ethos achieves a more efficient, principled MLR process with Veeva Systems AI for PromoMats

Ethos - Customer Case Study

Ethos, through its experts, discussed the challenges of modernizing medical, legal, and regulatory (MLR) review in the AI era, where teams need to speed up content review without losing human judgment. The case study highlights Ethos’s perspective on using AI in a principled way, alongside Veeva Systems’ PromoMats and AI for PromoMats capabilities.

Veeva Systems helped support a more efficient, exception-based MLR model by leveraging agentic AI to automate routine review tasks while keeping reviewers focused on critical decisions. The result is a faster, more targeted review process with improved ability to reduce risk and potentially raise content quality, though no specific numerical metrics were provided.

Ethos

Sheuli Porkess

Co-author