The reliable spine
The non-AI spine is the source-linked workflow: clean records, rules, calculations, integrations, exception queues, approvals and reporting for cash, finance and bank discipline.
Agri-Processing & Commodities
Cash, finance and bank discipline
Vendor and farmer payments run with kacha advances never squared; the customer ledger ages with no steady reminder cadence; GST input credit is missed; and the monthly drawing-power statement to the banker is stitched by hand, so a clean, defensible position is hard to produce. Inter-party, principal and branch ledgers and GSTR-2B against the purchase register tie up by hand and late; input credit slips because nobody has time to tie every line, and the bank drawing-power statement is stitched manually.
Who has it
Every segment; sharpest where the trade runs on a bank cash-credit limit, which is rice, flour and dal mills, edible-oil and solvent-extraction units, and commodity traders and weighbridge / mandi operators. Commodity traders also carry principal, branch and inter-party ledgers, and every segment carries the GST input credit and drawing-power finance work.
What we build
Cleaner vendor and farmer payments with advances always squared; one customer ledger with automatic ageing and a steady reminder cadence (reminders run on their own; holding a dispatch or writing off goes to a person); GSTR-2B matched against the purchase register to recover missed input credit; and a monthly drawing-power statement computed off live stock and receivables. Underneath, the reconciliation engine does automatic matching of two sources that should agree and returns a clean break list: ledger against principal or branch, GSTR-2B against the purchase register, and the live stock-and-receivables feed for the drawing-power statement. GST stays advisory, prepared and flagged for the CA, never auto-filed, always CA-signed; every drawdown is a named-person decision.
What is automated, where AI helps, who signs off
Automation for the routine. A person on every decision that matters.
Where AI helps
AI is limited to bounded reading, extraction, matching, clustering or drafting from the firm's own data for cash, finance and bank discipline; it never owns the number, the approval, the promise or the decision.
Who signs off
A named person signs off anything touching money, stock, a customer promise, a regulated filing, a payment, a price, a credit decision or a people decision.
What changes day to day
Advances are always squared; receivables age with a steady cadence; missed input credit is recovered; the banker gets a clean, defensible drawing-power statement off live numbers. Reconciliation happens on demand instead of a month-end scramble; breaks surface in days; input credit is claimed not missed; filings stay human-signed.
Illustrative outcome
Recovered GST input credit; a faster close; a cleaner drawing-power statement. Illustrative; final numbers come from your own data.
Illustrative; final numbers come from your own data.
Path to the build
How this one gets built.
Book a free 60-minute call, then a free Blueprint on the firm's own records. Deep-dive and build, followed by run and govern so the workflow keeps paying back.
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