Mathias Saint-Jean is the Director of Growth at OTTO, leading the North American go-to-market strategy. With 15+ years of experience in B2B growth and GTM transformation, he has helped technology and services organizations build more scalable go-to-market and operating models across North America and Europe. His work focuses on turning AI from a technology conversation into a practical business tool, particularly for decisions around content, risk, workflows, and human expertise. Mathias is especially interested in how organizations can use AI to simplify complex operations, improve governance, and focus human judgment where it creates the greatest value.

Stop Reviewing Everything: A Smarter Model for Multilingual Content

Co-presented with: Adam Goldman

Many multilingual content operations still apply the same workflow to every asset, regardless of audience, purpose, or risk. This creates unnecessary reviews, slows global publishing, and stretches specialist resources.

This session presents a more scalable, risk-based approach. Rather than focusing on AI as a translation engine, it explores how AI can support better decisions before and after multilingual content is produced—identifying which content needs greater oversight, assigning the right level of human involvement, and determining whether content is ready for publication or requires escalation.

You’ll learn how targeted governance can replace blanket reviews. The goal is not to eliminate human expertise, but to apply it where judgment has the greatest impact. By using AI as a decision layer, organizations can reduce review effort, improve consistency, accelerate global publishing, and deliver better multilingual customer experiences.

In this session, you’ll learn how to:

• Identify where one-size-fits-all multilingual workflows create unnecessary costs, delays, and review efforts.
• Assess content based on audience, business impact, sensitivity, and the consequences of an error.
• Match each content type to the appropriate level of automation, human review, or specialist oversight.
• Use AI as a decision layer before and after multilingual content production—not simply as a translation engine.
• Establish clearer acceptance and escalation criteria for more consistent publishing decisions.
• Focus human expertise where it creates the greatest value.
• Pilot a risk-based workflow that improves speed, scalability, cost control, and customer experience across languages.