How to ask AI questions about Tally without exporting to Excel

Every Indian finance team has the same Tuesday-morning ritual: open Tally, run a report, export to Excel, pivot it, paste it into an email. Repeat for the next question.

The export-and-pivot loop is fine when you have one question. It collapses when you have ten. And it quietly invites the worst kind of mistake — a stale Excel file that someone forwards as the source of truth two weeks later.

This post is a short walkthrough of how to ask a question of your Tally data without leaving Tally as the source. The pattern works whether you use Koshio or any other AI layer that connects directly to TallyPrime or Tally ERP 9.

The three questions every MSME asks of Tally#

Almost every ad-hoc query falls into one of three shapes:

• Lookups. "What's the outstanding for Sundaram Traders as of last Friday?"
• Roll-ups. "Show me total GST collected per state for March 2026."
• Anomalies. "Which expense ledgers jumped more than 25% versus last quarter?"

Done in Excel, each of these is a five-minute job. Done conversationally on top of live Tally data, each is a five-second job — and the answer is verifiable because the AI cites the exact ledger and voucher it pulled from.

What grounded means in practice#

A grounded answer is one that you can audit. Practically, that looks like:

1. A natural-language answer ("Sundaram Traders has ₹4,82,310 outstanding").
2. A visible reference to the underlying source (ledger name, voucher numbers, posting date range).
3. A confidence marker if the system isn't sure — for example, when a customer name has multiple matching ledgers.

If your AI tool can't show you those three things, treat the answer as a hint, not a fact. The whole reason ledger software exists is auditability; an AI layer that breaks that property is doing more harm than good.

A worked example: receivables aging in one prompt#

Here's the shape of a prompt that works well over Tally data:

For all sundry debtors with outstanding > ₹50,000 as of yesterday,
show: ledger name, total outstanding, oldest invoice date,
days past due. Sort by days past due descending.

A grounded AI workspace will:

• Resolve "sundry debtors" against your actual group hierarchy in Tally.
• Pull live outstanding from current vouchers, not a cached export.
• Surface the answer as a sortable table — and let you ask the obvious follow-up ("Group these by salesperson") without restating context.

The point isn't that the AI is smart. It's that you stopped maintaining a parallel copy of your books in spreadsheets.

Where the export-to-Excel habit still makes sense#

Two places:

• Statutory filings. Your GSTR forms, your TDS returns — those go through the official portals or your tax software. Don't reinvent that.
• Shareable artifacts. A board pack, a bank submission, a one-off audit response. There the medium matters; Excel or PDF is what the recipient expects.

For everything else — the daily and weekly questions that your team asks of Tally — the export loop is overhead that compounds quietly.

If you want to try this on your own books, you can download the Koshio Tally connector; it installs in under five minutes and never copies your full Tally database to the cloud.