From Scale to Safety: Rethinking Translation QA in the AI Era

ATC Technology Showcase

The rapid adoption of AI and machine translation has fundamentally changed how language service companies operate. Content is produced faster than ever, turnaround times are shrinking, and volumes continue to grow, yet expectations around quality, consistency, and accountability have not diminished.

In this Technology Showcase session, the LanguageCheck.ai team explores how translation quality assurance must evolve in an AI-accelerated market, and how LSCs can protect quality and margins without slowing production.

Rather than focusing on product demonstrations, this session takes a strategic look at the changing role of QA in modern translation workflows, from blanket review models to more selective, risk-based approaches supported by AI.

The session will explore:

• How LSCs can balance speed, quality, and risk as AI-driven production scales
• How AI-assisted QA can help prioritise human review where it adds the most value
• Ways to reduce unnecessary review effort while maintaining defensible quality standards
• How objective QA signals can support better internal decision-making and clearer client communication
• A forward-looking view of how translation QA will continue to evolve in the language services space

Date and time: Tuesday 31 March at 3-4 pm GMT

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This session is designed for LSC leaders, operations managers, quality managers, and anyone responsible for managing production workflows, quality outcomes, and client expectations in an increasingly AI-enabled environment.