About the conference
Many enterprise multilingual content operations still apply a single blanket workflow to every asset, regardless of audience, business impact, or risk. This rigid approach creates unnecessary review cycles, slows global publishing, and overburdens specialist resources.
Presented live at LavaCon 2026, this session introduces a scalable, risk-based governance framework. Rather than viewing AI strictly as a translation engine, Adam Goldman demonstrate how AI can serve as a decision layer before and after content production, helping teams determine necessary oversight, assign appropriate human involvement, and establish clear publication readiness. By shifting from blanket review to targeted governance, organizations can optimize specialist expertise where judgment creates the highest impact.
What you will learn in this conference
- Eliminate Bottlenecks: Identify where one-size-fits-all multilingual workflows generate unnecessary costs, delays, and review efforts.
- Assess Content Risk: Evaluate assets based on audience, business impact, sensitivity, and error severity to apply the right level of oversight.
- Leverage AI as a Decision Layer: Deploy AI before and after content production to automate acceptance and escalation criteria rather than relying on manual checks.
- Optimize Human Expertise: Match each asset to the appropriate tier of automation or specialist review to maximize high-value human judgment.
- Scale Global Publishing: Pilot a risk-based model that improves publishing speed, cost control, and overall multilingual customer experience.