Marketing & Content

Campaign asset localisation and translation

Translate and culturally adapt campaign copy, product content, and creative assets for other markets, preserving brand tone while adjusting idiom, format, and legal wording.

AugmentationPattern-matchingCost reductionTime saving

50–70%

reduction in localisation cost and turnaround

Opportunity assessment

Business Impact
2

Minor improvement. Small efficiency gain with limited effect on overall turnover or bottom line.

Feasibility
4

Relatively straightforward. Off-the-shelf tools handle the core task. Implementation is well-understood with good examples to follow.

Data Readiness
4

Light data requirements. Uses straightforward inputs — documents, product descriptions, customer records — that are usually accessible with minimal prep.

Risk Exposure
3

Moderate risk. Some customer or external exposure. Errors create rework or reputational impact but are recoverable.

Change Complexity
4

Light people impact. A new tool slots into an existing workflow. Minimal training needed. Most people will adapt quickly.

Tooling required

Standard LLM

Things to consider

  • Translation is close to solved; cultural adaptation is not. Keep a native reviewer in each market for customer-facing copy, and reserve them for judgment rather than for correcting grammar.

  • Legal and regulatory wording differs by market and must not be translated freely. Maintain approved market-specific wording as fixed blocks the model inserts rather than translates.

  • Build a market-specific glossary of brand and product terms that must never change. Without it, the same product will acquire three names in one market.

  • Experiment starter: Localise one campaign for two markets with AI drafting and native review. Track reviewer edit rate and time versus your current agency route, and compare campaign performance against the previous equivalent.

AI Transformation Playbook

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The playbook gives you the full 150-opportunity directory, scoring tools, and 100+ templates for every stage of an AI transformation programme.