India’s Leading Loan Platform Signed Up 50% More Lenders by Translating Docs
About Client
One of India’s go-to digital loan and credit card platforms, it is part of a leading Fintech Company. It helps match people with lenders quickly for personal needs or small businesses. It has built a solid network across banks and NBFCs, aiming to make borrowing as easy as shopping online for all customers.
Challenges
As the platforms grew and expanded into new markets, they faced challenges due to linguistic differences. The platform operates all over India, and most Indian citizens are not fluent in English or Hindi.
- Loan documents were complex and only available in English and Hindi.
- Users were confused. Some dropped out halfway. Others made mistakes.
Manual translation took time and wasn’t always accurate. Language could be a bridge for too many potential users if it is nuanced.
Solution
We implemented a document translation system driven by artificial intelligence to address these issues. The papers were adapted into 10+ regional languages, among them Kannada, Bengali, Marathi, and Tamil, so people could read them in the language they’re most comfortable with. Trained to manage financial matters to ensure terms weren’t lost in translation.
Here is how our solution improved the process:
- We implemented APIs in their system.
- No manual upload requirement.
We made sure the legal and financial terms stayed exactly as they were, no changes, no room for confusion. The design and layout were also kept the same, so everything looked like it belonged.
Key Features
- Quick turnaround made a real difference. Translations were shared immediately, avoiding delays or repeated follow-ups.
- The language range was broad, reaching even lenders in smaller towns and rural areas.
- Glossaries to keep technical terms sharp and accurate.
- Data privacy is a top priority throughout.
Impact
After rolling this out, the numbers told the story:
- 50% more lenders signed up, especially from smaller towns and regions.
- Application processing got about 30% faster.
- People understood what they were signing.
- Fewer errors, better user experience, more trust.
It opened doors of opportunities, making it easier for lenders (and borrowers) who felt left out just because of language. The AI translation engine helped fix that. The results speak for themselves.
