AI can accelerate work, not supply authority
Generative tools can organise notes, suggest structures, create variants and expose gaps, but fluent language is not evidence. Content becomes credible through accurate sources, genuine expertise, editorial judgement and accountability for what is published.
Choose bounded tasks based on risk. Brainstorming formats and summarising approved internal material carry different consequences from making regulated claims, interpreting research or publishing customer advice.
Design a source-grounded workflow
Start with a human brief that defines audience, intent, point of view, sources, prohibited claims and desired action. Retrieve from approved material where possible and require citations or traceable notes for facts that need verification.
Use subject-matter experts to contribute insight and review meaning, not merely correct grammar at the end. Editors should test logic, originality, tone, bias, attribution and whether the piece adds anything beyond common summaries.
- Define safe tasks and prohibited uses.
- Ground drafts in approved evidence.
- Require expert and editorial sign-off.
- Track corrections and reader usefulness.
Protect quality through review and evaluation
Maintain prompt and model versions for repeatable workflows, protect confidential inputs and review vendor data terms. Add plagiarism and factual checks appropriate to the material, while recognising that no automated detector proves authorship or truth.
Evaluate content with reader usefulness, search intent, expert confidence, correction rate and downstream behaviour. Faster production is not an improvement if the organisation publishes more interchangeable pages that nobody trusts.