How do you use GenAI to automate localisation across 29 markets?

Challenge

Global research reports are a powerful tool for engaging B2B audiences, but without localisation, they risk falling flat with local audiences. For a leading fintech company, the challenge was scale. They needed to turn more than 7,000 data points into distinct reports for 29 markets, in 16 languages. 

Previous efforts had relied on manual processes that were time-consuming, error-prone and difficult to replicate at scale. They needed a more efficient, reliable and repeatable way to translate raw data into content that felt timely, trustworthy and relevant to each local market.

Our Approach

We developed a proprietary AI-assisted editorial workflow that combines automation with sharp human insight. Built to scale localisation without losing precision, the process enabled parallel production of high-quality reports across markets.

Mapped the topics

• We worked with leaders across the business to understand what topics and themes they wanted to communicate with their different audiences globally, and in key markets
• From there, we shaped the ideal narrative to understand what questions we’d need to ask to bring this narrative to life. 

Designed the survey

• We worked with a research partner to build the survey structure and ensured questions were designed to deliver data that could be turned into compelling, localised content.
• Local teams reviewed the translated survey to reflect cultural nuances and ensure clarity across languages.

Shaped the story with globally relevant trends

• We identified the survey questions and results that supported the key themes the client wanted to explore in the report narrative. This gave the copywriter the inputs needed to craft a compelling global story.

Constructed queries and prototyped extraction logic

• To reduce manual handling and human error, we built a set of automated queries designed to extract insights by market and demographic characteristics. 
• Every logic path was tested, refined and quality assured.
  

Extracted the right data points and validated accuracy

• We pulled the most relevant insights from the raw survey data — more than 7,000 data points across 29 countries.
• Each figure was cleaned, formatted and verified, then embedded into a structured spreadsheet for local review.

Localised and delivered 29 reports in parallel

• Reports were translated and localised using automated scripting, generating interactive reports in-market with consistent tone, structure and visual identity, ready for activation across local channels.