GenAI for Content Creation

Social media content production is resource-heavy, requiring significant time from creative, brand, and agency teams. While demand for fast, localized, and relevant content is growing across platforms, existing workflows lack the scalability and agility needed to respond in real time. Attempts to use GenAI have shown promise, but current outputs often lack human nuance, feeling robotic, generic, or misaligned with brand tone and cultural context, leading to reduced engagement and trust.

• Reduce content production time for selected social media campaigns • Enable mass personalization across markets, channels, and audiences • Improve engagement metrics (CTR, shares, likes, watch time) • Generate brand-aligned copy and visuals with emotional and cultural resonance • Streamline workflow via AI-assisted compliance and tone-check

Manual workflows driven by content calendars and asset management tools Basic use of copy templates and modular creative libraries Existing AI-generated content (from tools like ChatGPT, Jasper) tested in limited scope, but results are too mechanical and generic No GenAI fine-tuning based on brand tone or local cultural nuance

- Manual workflows driven by content calendars and asset management tools - Basic use of copy templates and modular creative libraries - Existing AI-generated content (from tools like ChatGPT, Jasper) tested in limited scope, but results are too mechanical and generic - No GenAI fine-tuning based on brand tone or local cultural nuance

Brand Marketing Teams (messaging, creative direction), CRM & Digital Campaign Teams (channel-specific personalization), Design & Creative Studio (asset generation and adaptation - review and content guardrails)

- Rich library of historical campaigns and content performance metrics - Product metadata available via Content Management System - Tone of voice guidelines and brand vocabulary partially documented - No curated prompt library, brand-tuned LLM, or style calibration framework for AI tools

- (Preferred not must) Integrated with: Snowflake (internal data lake), Digital Asset Management (DAM), and Content Management System (CMS) - GenAI engine must support: 1) Prompt chaining 2) Fine-tuning/brand tone alignment 3) Multilingual (at least Indonesian & English) and culturally adaptive content generation (especially in Indonesia) - Deployment: Cloud-native, via OpenAI API, Azure OpenAI, AWS Bedrock, or similar - Compliance: Must follow brand safety, data privacy (ISO 27001, PDPA), and IP protection standards - Content must be hosted and processed in the ASEAN region (Indonesia preferred)