Marketing & Content
Social media copy variants
Generate multiple on-brand social copy variants from a brief. Covers different tones, lengths, and platform formats. Team selects and schedules.
70–85%
reduction in copy production time
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.
Low risk. Limited external exposure. A human reviews output before it reaches anyone outside the team.
Very easy to absorb. Runs quietly in the background or gives people a helpful new input. Makes everyday work easier with almost no friction.
Tooling required
Things to consider
Heinz's AI-generated image campaign ('Even AI knows ketchup') generated 850M+ earned impressions, 38% above prior campaigns, with approximately 25x return on media investment (Ahrefs).
Brand voice documentation is the critical input — the more precisely you define tone, vocabulary, and what to avoid, the more consistently the AI applies it.
Generate more variants than you need and let the team select: this preserves creative judgment without adding drafting burden.
Platform-specific guidance (character limits, hashtag conventions, visual/copy relationship) improves output quality significantly.
Track which AI-generated variants the team selects versus rewrites — this builds a prompt improvement feedback loop without any formal process.
Experiment starter: Brief an LLM on an upcoming campaign, generate eight variants across two platforms, and have the social team select and schedule without being told which are AI-generated. If selected posts perform within 20% of your average engagement benchmark, the workflow change is justified.
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
SEO product content at scale
Produce optimised product and category page content at volume. Particularly valuable for large catalogues where manual writing is a bottleneck.
Campaign performance commentary
Convert raw campaign data into narrative summaries for weekly reports and post-campaign reviews. AI drafts; analyst reviews and adds context.
Email personalisation at scale
Generate personalised subject lines and body copy variants based on customer segment, purchase history, and engagement signals.
AI Transformation Playbook
Ready to assess your own opportunities?
The playbook gives you the full 150-opportunity directory, scoring tools, and 100+ templates for every stage of an AI transformation programme.