{"id":138251,"date":"2026-03-11T12:52:50","date_gmt":"2026-03-11T11:52:50","guid":{"rendered":"https:\/\/phrase.com\/news\/con-las-ultimas-novedades-de-la-plataforma-de-phrase-la-ia-pasara-del-entorno-de-pruebas-a-la-produccion\/"},"modified":"2026-03-18T12:04:07","modified_gmt":"2026-03-18T11:04:07","slug":"phrase-launches-platform-innovations-to-take-ai-from-playground-to-production","status":"publish","type":"newsroom","link":"https:\/\/phrase.com\/es\/news\/phrase-launches-platform-innovations-to-take-ai-from-playground-to-production\/","title":{"rendered":"Con las \u00faltimas novedades de la plataforma de Phrase, la IA pasar\u00e1 del entorno de pruebas a la producci\u00f3n"},"content":{"rendered":"\n
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Boston, USA, March 11, 2026<\/strong>\u2014Phrase<\/a>, a global leader in AI-led language technology, today announced a major platform update<\/a> designed to help enterprises embed generative AI across global content operations. The release introduces an industry-first quality evaluation capability, centralized Style Guides, expanded ecosystem integrations, a Model Context Protocol (MCP) server for AI connectivity, and more advanced controls for Phrase Studio.<\/p>\n\n\n\n

Scaling AI across customer-facing content requires structured oversight, brand controls, and configurable quality management. These new capabilities embed governance, context, and connectivity directly into AI workflows, enabling production-grade deployment at scale.<\/p>\n\n\n\n

A central element of the collaboration is the integration of agentic AI systems. These give customers more customizable and autonomous solutions, adaptable workflows, fast multilingual content creation and delivery, and the ability to scale without added complexity.<\/p>\n\n\n\n

\u201cAlmost every customer I speak to has the same challenge. AI prototypes work, but moving them into production across 40 or 50 markets with proper quality and consistency controls is a completely different proposition,\u201d says Georg Ell, CEO of Phrase. \u201cThese platform updates give organizations the quality controls, brand context, and ecosystem access they need to run AI in production, not just test it. For any organization looking for a concrete win with AI, this is it.\u201d<\/p>\n\n\n\n

Quality Evaluation Designed for GenAI<\/strong><\/h3>\n\n\n\n

At the core of this release is Quality Profiles<\/strong><\/a>, an industry-first evaluation capability<\/strong> that combines fully customizable thresholds with automated quality checks. Enterprises can now define \u201cfit-for-purpose\u201d criteria\u00a0by language, content type, business unit, or brand. Automated AI-driven checks approve content that meets predefined standards and escalate only flagged segments for human review.<\/p>\n\n\n\n

By combining automation with granular control, organizations can reduce reliance on human review, lower post-editing costs, and accelerate delivery while managing risk at scale.<\/p>\n\n\n\n

Global Brand Consistency with Style Guides<\/strong><\/strong><\/h3>\n\n\n\n

Phrase also introduces centralized Style Guides<\/strong><\/a> to the platform, transforming static brand documents into actionable assets that provide context for both AI systems and human linguists. Style Guides inform the AI Translation Agent and MT optimization workflows while surfacing guidance directly in the editor.<\/p>\n\n\n\n

This creates a unified blueprint for brand consistency across global markets and eliminates the guesswork that often leads to costly rework.\u00a0<\/p>\n\n\n\n

Expanding the Phrase Ecosystem<\/strong><\/strong><\/strong><\/h3>\n\n\n\n

To support complex enterprise environments, Phrase is adding three new connectors that further open the ecosystem. These new integrations allow customers to connect their preferred AI and quality solutions directly into Phrase.\u00a0<\/p>\n\n\n\n

Through Intento<\/strong><\/a>, enterprises can aggregate and optimize multiple machine translation engines within Phrase workflows. With Welocalize Opal<\/strong><\/a>, customers can enable OPAL\u2019s agentic capabilities for automated post-editing and quality evaluation inside Phrase, reducing manual intervention while maintaining control. TAUS Epic<\/strong><\/a> customers can integrate TAUS metrics and automated post-editing directly in Phrase.\u00a0\u00a0<\/p>\n\n\n\n

The new Phrase<\/strong> Model Context Protocol (MCP) Server<\/strong> allows enterprises to connect internally developed AI agents and proprietary systems. LLM-based tools can securely access translation memories, update keys, and manage projects without custom API development, ensuring built and bought technologies operate within one governed environment.<\/p>\n\n\n\n

This approach enables organizations to unify third-party technologies and in-house systems within a single governed platform that orchestrates across AI engines, quality systems, and content workflows throughout the enterprise.<\/p>\n\n\n\n

Additional enterprise integrations and enhancements include:<\/p>\n\n\n\n