AI-Powered Content Adaptation and Localization

Content development across our brands is highly siloed — only specific individuals can write or translate for specific brands or languages because of the unique tone, style, and editorial voice. This leads to bottlenecks and underutilised resources. We lack a scalable system that allows team members from one brand/language group to create or adapt content for another while maintaining the brand’s identity and tone.

• Reduce content localization turnaround time by 70%. • Achieve 90%+ consistency with brand tone. • Increase regional content output by 2–3x without growing team size.

Currently using a mix of manual translation and generic AI tools, which lack brand context and require heavy editorial post-editing. Some early tests with internal summarization and translation models have shown promise.

Currently using a mix of manual translation and generic AI tools, which lack brand context and require heavy editorial post-editing. Some early tests with internal summarization and translation models have shown promise.

Editorial teams, content producers, social media teams, and branded/commercial content teams across Media Prima.

Yes. We have large volumes of past editorial content, localized translations, branded video scripts, and headlines across Bahasa Malaysia, English, Mandarin — structured and unstructured formats available in CMS and archive DB.

• Needs integration with existing CMS and editorial tools • Deployment preferred on cloud with editorial access control • Must align with our internal content governance and data privacy policies • Regional language support and GPU access preferred