Life Insurance Leader Translated Over a Million Words in less than 30 days with AI-powered domain training
About the Client
Our client is India's most recognized life insurance company, not just a household name, but a business that reaches millions through both digital and offline touchpoints. Their documents shape how people trust them, from policies and claims to service contracts and onboarding kits.
Challenge
Their documents were not just for internal use, they were legal artefacts. Those documents required reading to exist in at least a dozen Indian languages.
The company was doing what most fast-growing enterprises do, they were translating documents manually, using different vendors for different languages, with internal legal and marketing teams running last-mile reviews.
But as volume grew, things began to slip.
Review cycles stretched into weeks. Content came back misaligned, terms were inconsistent, some legal nuances were off, and the tone in regional documents didn't match the original intent. The biggest issue? They had a product update deadline approaching, and they needed to release new documentation across nine states, each with its own unique compliance and language requirements.
We were brought in not just to "translate," but to help them rethink how this whole thing was done.
Solution
Our team worked on multiple areas to understand how their documents were created. Who touched them? What caused the delays?
Once we knew what we wanted, we came up with a tiered solution that worked for both speed and accuracy:
We taught our AI engine how to "speak" like their brand by using their old documents. This way, it didn't merely translate exactly.
Then, we developed word libraries for each language and collaborated with their legal team to identify the translation needs for key phrases.
We built a system around their reality.
Key Features
Here's what we delivered for them:
- An API that connected directly to their internal system, so files moved automatically, no manual back-and-forth.
- Live tracking dashboards, so their team knew the status of every document, every time.
- A review-first approach with a dedicated success manager who helped them plan, set priorities, and make the most of new projects as they came in.
Impact
We translated more than 1.1 million words in the first phase. These included policy documents, consumer correspondence, and legal notices into Hindi, Tamil, and Marathi.
- In less than a month, they found that turnaround time went down by more than half, from 5 days to a little over 48 hours.
- 80% fewer internal revision rounds, which saves both time and legal bandwidth.
- A cost reduction of approximately ₹12.8 lakhs per quarter is achieved through streamlined workflows and reduced rework.
- Teams that were once sceptical of machine translation started actively requesting our platform for new launches.
They completed the deadline, and the process was in control again.
