From Bottlenecks To Breakthroughs: How AI Is Transforming Translation Timelines

Biotech and pharma companies are increasingly running clinical trials across multiple countries to accelerate patient recruitment and access diverse populations. However, the manual, linear processes required for translating trial documents have created a significant bottleneck, delaying study timelines and consuming valuable resources. Historically, these translations involved time-consuming, sequential steps, including manual reviews, email exchanges, and a laborious "screenshot madness" process to verify content accuracy. The introduction of AI-powered solutions is a pivotal shift in addressing this challenge.

These tools enable parallel processing of multiple languages, drastically reducing the time and resources needed for reviews and content migration. As a result, AI-driven translation and localization engines can cut translation cycle times, lower operational costs, and accelerate access to global markets. By automating key steps and validating migrated content, AI minimizes human error and ensures accuracy and regulatory compliance, while also enhancing cross-user visibility and communication between teams.