Accounts payable automation built for India, not adapted for it. AI invoice OCR reads every vendor bill, approval workflows route it, GST and TDS checks clear it — and the approved bill posts straight into Tally Prime or Zoho Books.
Invoice OCR, approval workflows, GST and TDS compliance, vendor bank verification and duplicate payment detection — one system, from the bill arriving to the payment going out.
The case for automating accounts payable in India rests on three measurable things: money owed to small suppliers and not paid, a statutory clock that makes late payment expensive, and a category of fraud that runs on invoices and takes a year to notice. Each figure below links to the document it came from, and each says whether it is about India or not.
Onsumm publishes no performance figures of its own here. Accuracy and time-saved numbers are worth stating only once they are measured against a labelled corpus, and anything else is a slogan wearing a percentage sign.
| Figure | What it measures | Source |
|---|---|---|
| ₹8.1 lakh crore | Estimated value of payments owed to Indian MSMEs and not yet madeAn official estimate. The Survey publishes no methodology for it. | Economic Survey 2025-26, Box VIII.11 |
| 2,56,892 applications | Delayed-payment cases filed by micro and small enterprises, worth ₹55,244 croreCumulative since October 2017. New cases moved to the MSME ODR portal in October 2025. | Ministry of MSME, Annual Report 2025-26 (MSME Samadhaan, to 31 Dec 2025) |
| 1.67 crore | Active GST taxpayers in India as on 30 June 2026 | GSTN, 9 Years of GST: A Statistical Report |
| 21.4 crore IRNs | E-invoices generated in June 2026 alone, by 8,55,738 GSTINsE-invoicing applies above ₹5 crore aggregate turnover, since 1 August 2023. | GSTN, 9 Years of GST: A Statistical Report |
| 28% of cases | Share of fraud cases at organisations under 100 employees that are billing schemes, against 18% at larger onesGlobal study. Smaller organisations are hit harder by this scheme type than larger ones. | ACFE, Occupational Fraud 2026 |
| 4% | Share of frauds in Southern Asia caught by automated transaction or data monitoring. Half were caught by a tip instead | ACFE, Occupational Fraud 2026 (Southern Asia: 122 of 145 cases from India) |
| 47% | Share of defrauded organisations in Southern Asia that recovered nothing at all | ACFE, Occupational Fraud 2026 |
| 18.4% / 8.2 days | Invoice exception rate, and time to process one invoice, across surveyed AP teamsNot India. 204 AP and finance leaders, 58% North American, and 54% at companies above $1 billion revenue. | Ardent Partners, The State of ePayables 2025 |
What ties them together is timing. Section 15 of the MSMED Act caps payment to a micro or small enterprise at 45 days, Section 16 charges compound interest at three times the RBI bank rate when you miss it, and since assessment year 2024-25 Section 43B(h) of the Income Tax Act has made the expense deductible only in the year the payment is actually made — so a bill sitting unapproved in somebody’s inbox is a tax position as well as a supplier relationship. The ACFE’s fraud data points the same way: billing schemes are not caught by a clever control, they are caught early or they run for over a year.
Most accounts payable tools sold in India claim the same feature list, and the list is not where they differ. They differ in what happens at the edges — a vendor who crosses a TDS threshold in November, a bank account that changes between two payments, the same bill arriving twice by two routes. These are the eight questions worth asking in a demo, and what a good answer to each sounds like.
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The comparison below is by capability rather than by brand. Most accounts payable software sold into India was built for US or EU payables, where GST, TDS and Tally do not exist as concepts — so the gap is rarely in the invoice capture and almost always in what happens after it.
| Capability | By hand | A general AP tool | Onsumm |
|---|---|---|---|
| Reading the bill | Typed in by hand, twice if it is checked | OCR tuned on US and EU invoice layouts | The PDF's text layer first, vision OCR only for scans |
| GSTIN validation | Eyeballed against the vendor master | Usually absent — not a concept outside India | Validated per vendor and per bill, mismatches held |
| TDS section and rate | Decided by whoever enters the voucher | A free-text field, if it exists | Vendor category rule or per-vendor override |
| Annual TDS threshold | Tracked in a spreadsheet, if at all | Not modelled | Running total per vendor, per section, per FY |
| Threshold crossed mid-year | Found at filing, reconstructed by hand | Not handled | Arrears raised on earlier bills and recovered |
| Missing PAN | Higher rate if someone remembers | Not modelled | PAN recovered from the GSTIN before 206AA applies |
| Vendor bank account | Taken from whatever the invoice says | Stored, rarely verified | Verified before first payment, changes flagged after |
| Duplicate bills | Caught by memory | Exact invoice-number match | Checked before approval and again before payment |
| Posting to the books | Re-keyed into Tally | CSV export, imported by hand | Direct to Tally Prime and Zoho Books, image attached |
| Audit trail | Email threads and a folder | Action log | Per-bill history: extraction, overrides, rate, authority |
None of this argues that a general AP tool is badly built. It argues that the Indian compliance layer is not a localisation of accounts payable — it is a different problem sitting on top of it, and a product that treats GST and TDS as extra fields will push that work back onto the person doing the filing. How TDS automation on vendor bills has to work goes through the third and fourth questions above in full.
What Indian finance teams ask us before they switch — on Tally Prime, Zoho Books, GST, TDS and duplicate payments.
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