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Case Studies

A Renowned Bank Boosted Semi-Urban Customer Onboarding by 42%

Devnagri Team
Published: 25 September 2025
Last Edit: 25 September 2025
4 min
A Renowned Bank Boosted Semi-Urban Customer Onboarding by 42%

Our customer is one of India’s fastest-growing financial institutions that serves millions of customers, especially in rural and semi-urban markets.

They looked at the data from their client onboarding process and saw that not all of their new customers were comfortable with English. But most important papers, such loan agreements, disclosures, and compliance paperwork, were only available in English. That made it tougher to reach people, slowed down the process of hiring new workers, and even scared off potential clients at times.

It was a problem for a bank attempting to gain confidence in areas where language is very personal; it was more than just a hassle.

The Challenge

Like most BFSI players, the bank was running into familiar pain points:

Compliance hurdles. Regulators not only suggest multilingual disclosures, but they mandate them. Whenever translations were inconsistent, the bank would end up with red flags during audits.

Operational delays. Every new document request had to be translated in isolation.

Data security. Customer information was everywhere, in forms, in agreements, in statements. Handling that data outside a secure ecosystem wasn’t an option.

Broken Communication. The exact words, such as "fixed deposit" or "interest waiver," didn't always mean the same thing across all branches. Customers didn't understand, and employees left frustrated.

The bank realized that translation required more than just changing words. The goal was to create a system that could grow without compromising accuracy or confidence.

Solution

The Solution

Instead of treating translation as a side task, the Devnagri Team built a framework. A multilingual foundation designed for BFSI scale, plugged directly into the bank’s document management system.

Key Highlights

  • Centralized memory. Every branch, every document, every translation drew from the same source. That consistency built confidence.
  • Glossary-driven automation. Critical terms, product names, interest rates, and compliance clauses, were locked in place. This meant no surprises, no ambiguity.
  • Encrypted pipelines. Customer Data confidentiality remained protected while translations were processed at speed.
  • Compliance dashboard. A live layer showed exactly which documents existed in which language, keeping the bank audit-ready at all times.
  • The Impact

    The numbers tell one part of the story:

  • Over 3 million words translated in the first year, loan agreements, disclosures, brochures, everything customer-facing.
  • 78% faster turnaround for compliance-heavy documents.
  • Customer queries about unclear paperwork dropped by 35%.
  • A multilingual library covering 12 Indian languages, ready for every new product launch.
  • But the real win?

  • For the first time, audits went through without escalations. Every form existed in every mandated language. No last-minute scrambling.
  • People from town or semi-urban areas could read loan documents in their own language. In some places, new customer onboarding went up by 42%.
  • The branch personnel stopped fretting about delays in paperwork and got back to what was important, helping people.
  • With a multilingual-ready foundation, the bank didn’t have to roll out products region by region. It could launch everywhere, at once.
  • More Than Translation

    At its core, this wasn’t about converting English sentences into local languages. It was about making the bank future-ready. It was about giving every customer, whether in a metro or a small town, the same clarity, the same confidence.

    By creating a centralized, secure, and scalable translation infrastructure, the bank not only solved a problem. It built a competitive advantage.

    And that’s how a financial institution, already strong in metros, managed to expand deeper into semi-urban India, and grow trust where it mattered most.

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