Marketing & Content
Brand tone consistency checking
Review drafts from agencies, freelancers, and internal teams against brand guidelines. Flag deviations before content goes live.
80–90%
reduction in tone-of-voice deviations reaching publication
Opportunity assessment
Negligible commercial impact. Saves time at the margins but won't move the needle on revenue or profit.
Very easy to implement. Ready-to-use tools exist. Can be up and running in days or weeks with minimal technical resource.
Minimal data complexity. Works with whatever is readily to hand. No special data infrastructure needed. Most businesses can start immediately.
Very low risk. Fully internal use. A person checks everything before it goes further. Worst case is a minor internal inconvenience.
Light people impact. A new tool slots into an existing workflow. Minimal training needed. Most people will adapt quickly.
Tooling required
Things to consider
Brand guidelines must be digitised and well-structured for the AI to reference — vague guidelines produce vague feedback.
Define what constitutes a flaggable deviation vs. acceptable variation. Over-flagging creates noise that teams ignore.
Most effective as a pre-publication gate, not a real-time editor — integrate into the content approval workflow rather than the drafting tool.
Start with agency and freelancer content rather than internal — the risk of deviation is higher and the sensitivity around flagging internal colleagues is lower.
Experiment starter: Take 50 recently approved content pieces and run them through a brand-tone checking prompt retrospectively. Review the flags with the brand team to calibrate sensitivity before applying to live content. This surfaces what the tool will flag without disrupting any live workflows.
Go deeper in the playbook
Section — Opportunity Identification, including the AI Opportunity Assessment ScorecardSection — The Experimentation FrameworkThis is an augmentation opportunity — see the relevant playbook section for how to approach it.More in Marketing & Content
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Campaign performance commentary
Convert raw campaign data into narrative summaries for weekly reports and post-campaign reviews. AI drafts; analyst reviews and adds context.
AI Transformation Playbook
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