AI for marketing: choose the workflow before the tool
Use AI in marketing with clear source ownership, editorial review and measured outcomes. A practical guide to content, localisation and operating decisions.
AI earns its place in marketing when it helps with a real task and the output passes review. Explore content workflows, localisation, source grounding and cost measurement. My work includes Enel multilingual dubbing and AI podcasts for Toyota and Intesa Sanpaolo; the guides keep illustrative workflows separate from those projects.
Start with this guide
Use AI in marketing with clear source ownership, editorial review and measured outcomes. A practical guide to content, localisation and operating decisions.
Build an AI content workflow with reliable sources, clear approval roles and useful review measures. Includes a reusable brief and publication checklist.
Evaluate AI localisation with an error rubric for meaning, terminology, voice and delivery. Includes a bilingual example and a release decision worksheet.
Build a brand voice rubric for AI writing using examples, exclusions and tone decisions. Includes a bilingual worked example and an editorial review sheet.
Decide when a marketing knowledge base needs RAG. Check source ownership, retrieval, answer quality and permissions with a practical evaluation worksheet.
Measure marketing automation ROI against a comparable baseline. Include review, exceptions, setup and maintenance, and separate savings from freed capacity.
Understand the reported Enel cost result. Plan an AI video localisation workflow with language review, voice permissions and complete cost measures.
Evaluate AI marketing tools on real tasks, output quality, review effort and operating cost. Use a practical worksheet before choosing a supplier.
Evaluate enterprise AI video and podcasts with source ownership, editorial review and accessible outputs. Keep reported initiatives separate from examples.