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AI in communications

AI can help content teams when the surrounding brief, source material, standards and review process are strong enough.

Many teams are already using AI somewhere. A useful test is whether it improves the work or adds more material for someone else to check.

We help teams use the tools they already have access to in a practical way: better briefs, better source packs, clearer writing standards, and review processes that catch the problems before the work reaches an audience.

What we tend to find

AI is often useful for structure, speed and first-pass drafting. It is less reliable for judgement, voice, emphasis, accuracy, attribution and accountability.

The main work is designing a system around the model so the output can be reviewed properly. Better results usually come from the brief, source material and review process around the model.

What we help build

We help teams create practical workflows for AI-assisted research, drafting, editing and review. That can include workshops, source-pack templates, writing standards, practical instructions and approval checkpoints.

The aim is to make useful AI support available without losing the judgement, specificity and accountability that good communication depends on.

Useful for

  • Teams under pressure to use AI but not satisfied with the output.
  • Communications teams that need clearer guardrails for drafting and review.
  • Organisations with voice guides, style guides or source material that AI-assisted work needs to respect.
  • Regulated, government or corporate affairs teams that need human oversight built into the workflow.

How we tend to work

  1. Review the current workflow, tools, source material and approval points.
  2. Identify where AI can help and where it creates risk or extra review load.
  3. Build practical instructions, examples and source packs around real content tasks.
  4. Test outputs against editorial standards and refine the process with the team.