AI content workflows: from brief to editorial review
Build an AI content workflow with reliable sources, clear approval roles and useful review measures. Includes a reusable brief and publication checklist.
Guides to AI, experimentation, growth, consumer behaviour, organisational psychology and leadership. Find a practical next step for your work.
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.
Make AI governance operational with clear decision rights, release gates and incident ownership. Use a charter that your team can apply to real work.
Build an AI project risk register around failure scenarios, owners and tested controls. Use a worked example to review residual risk before release.
Prioritise an AI roadmap around evidence, dependencies and measurable value. Use a practical decision sheet to choose the next project with confidence.
Evaluate AI output with task-specific criteria, representative cases and independent review. Build a scorecard that informs a clear release decision.
Design human-in-the-loop workflows with clear review tasks, source access and escalation. Measure quality and workload before scaling AI assistance.