GST returns, TDS reconciliation, ROC filings , for most Indian startups this is still a spreadsheet problem. But a quiet shift is happening.
Companies are now running AI agents that:
Pull GSTR-2B data from the GST portal API nightly
Match it against internal purchase ledgers
Flag ITC mismatches before the human accountant logs in Monday morning
Generate a pre-filled GSTR-3B with confidence scores on each line item
The agent doesn't file. It prepares. The human reviews and approves. But the 3 hours of reconciliation work is now 15 minutes of exception handling.
What's Actually Powering This
Most implementations use a combination of:
Python scripts calling GSTN sandbox APIs for return data
Claude or GPT-4o for ledger interpretation and anomaly flagging
Simple rule engines for TDS section classification (194C vs 194J vs 194Q)
Email triggers for due-date reminders with pre-filled data
None of this requires a dedicated ML team. A single backend developer with access to the GSTN API and an LLM SDK can build a working prototype in a weekend.
The Interesting Problem: Section Classification
The hardest part is TDS section classification. When a company pays a vendor, is it 194C (contractor) or 194J (professional/technical)? Misclassify, and the TDS rate changes (1-2% vs 10%). An LLM with the right context window can handle this with ~90% accuracy , the edge cases still need human review.
Where This Is Going
The CBDT has announced a move toward faceless compliance. Automated matching systems already flag mismatches before they become notices. The startups building internal compliance automation now will have a significant operational advantage in 3 years.
Read more about how AI in tax compliance India is reshaping accounting workflows for SMEs and startups.