Taxation Company Reduced Mistakes by 70% in Tax Document Workflows

About the Client

We teamed up with a large, well-known provider in the Indian tax and compliance sector. The company serves thousands of businesses and individuals, handling everything from GST paperwork to annual returns and regulatory filings across the country. Their workflows deal with a lot of private information, like balance sheets, declarations, and legal notices. Most of it is in digital form, some is on scanned sheets, and a lot of it is in more than one language.

Challenge

As tax season ramped up, firms began receiving documents from clients all over India, balance sheets, GST forms, income declarations, all written in a mix of English and native languages.

Manual translation became the default. Teams had to either change papers in-house, which took a long time, or transmit them to other companies. Both paths caused delays. Worse, the odds of making mistakes go up with every handoff.

• It rapidly became a problem: every day, hundreds of multilingual statements came in.
• Even when it came to exact legal and financial wording, review rounds took hours.
• The crew was under a lot of stress since they had to meet deadlines that were coming up shortly.
• Concern about data privacy and version control since too many people and technologies have moved files through.

Solution

The easy method should have gone well. Rather, it became a steady battle.

The AI-powered document translation platform from Devnagri, which was developed particularly for language-heavy situations such as this, was put up by all of us.

Now, when clients upload income statements, GST summaries, or compliance trackers, regardless of whether they’re in Bengali, Tamil, Marathi, or a mix, the system gets to work immediately. It doesn’t just convert the language. It recognizes structure. It knows where columns begin and end. And, thanks to its NLP engine fine-tuned for finance and tax content, it preserves terminology exactly the way accountants and auditors expect.

So teams get:

• Quick translations with data tables that are neat and lined up
• Consistent wording in all documents, even if the source language is different
• No loss of formatting, so you don't have to rebuild sheets by hand.
• Less chance of mistakes, misunderstandings, or files getting out.

The most significant thing is that things that used to take a whole workday now only take a few minutes.

Key Features

The AI now handles the entire document translation process, from structured GST forms to cluttered or scanned attachments. No manual sorting is needed. Everything is processed automatically, regardless of the format. Because it works directly within their document management system, there’s no back-and-forth over email or risk of accidental file exposure. Everything stays inside, under lock and key.

• They set up their glossaries covering legal, tax, and compliance language. It’s helped standardise wording across teams and ensured translations feel familiar, not forced.
• More than a dozen Indian languages are supported in real time, along with English. So if someone in the team needs a quick turnaround, the system doesn’t keep them waiting.
• Each step of the translation process is recorded automatically. Who did what, and when, is all captured, making audits and internal reviews a lot easier to manage.
• Security has been a priority from day one. The data doesn’t leave the system, and everything happens behind protected layers that match industry expectations.

Impact

Earlier, translating a batch of files could take most of the day. Now, that same work wraps up in under five hours, even when deadlines are tight and workloads spike. That cuts their time by more than half. Standard errors, like missing fields or incorrect values, used to slip through. The system now spots those early, reducing mistakes in critical documents by over 70 per cent.

• Since there's no more outsourcing or manual hand-holding, the cost of handling documents has gone down by more than a quarter.
• Support teams used to spend hours rechecking translations or sending things back for edits. That time has dropped by a third, freeing them up for higher-value work.
• With fewer bottlenecks, submissions are now completed well ahead of the deadline. They've met over 99 per cent of regulatory timelines without rushing at the last minute.

Every translated file is saved with a timestamp and operator tag. When auditors ask for records, the team doesn't scramble. Everything's already in place.