Beyond Translation: What High-Quality Multilingual Agent Benchmarks Actually Require

Report

The Multilingual Agent Frontier

High-quality data localization is a fundamental requirement for the next generation of autonomous AI agents. Simple translation is insufficient for global success; organizations must prioritize functional and cultural alignment to prevent "corrupted logic" from undermining agentic performance.

Some report takeaways include:

  • Accuracy Gaps: Agent performance can drop by as much as 18% in non-English contexts due to reasoning inefficiencies in non-native languages.
  • Translation Noise: Machine translation introduces hallucinations and "translationese," forcing agents to decode unnatural phrasing rather than solve problems.
  • Integrity Recovery: Specialized technical audits and cultural re-centering improved agent success rates by an average of 21%.
  • Strategic Review: Human verification must shift from basic editing to a framework that validates technical logic and task solvability.