Case Study
AI prompt and voice framework for multilingual copilots
Europe, North America
AI Brand Voice
Unified tone, accelerated workflows, improved brand coherence
The Challenge
AI copilots produced inconsistent tone and depth depending on department or use case.
Technical teams favored literal translation; marketing teams used humanized prompts.
Existing brand guidelines weren’t adaptable to AI contexts or structured prompt design.
The Solution
Defined a bilingual AI voice matrix covering tone, depth, and formality levels.
Built a prompt library for marketing, documentation, and product UX.
Created guardrails for factuality, ethics, and escalation.
Trained teams to extend and refine the framework internally.
The Outcome
Consistent English–German AI responses across 12 copilots.
40% reduction in content revision cycles.
Brand alignment improved across internal and customer communication.

