Your suppliers raise their own invoices. Fineasy reads every document, checks every line against the contract rate, your system actuals and what was actually assigned to them, and hands your ERP a file it can load. Nothing gets typed twice.
Contract rate ceiling, your recorded actuals, and carrier entitlement.
A rejected line comes back with the exact figure that failed, not a generic error.
Raising their own invoices through their own portal, on a live pilot.
Low-tech vendors included. If they can fill a form, they can bill you.
The approved invoice leaves as an upload file, generated rather than typed.
Charge codes, GST treatment and references are resolved by the engine.
Finance teams do not lose money on the ledger. They lose it in the gap before the ledger: the supplier bill nobody compared to the contract, the charge that was never authorised, the invoice for work that was never assigned. That gap is usually staffed by people with spreadsheets.
Fineasy is the operational layer that closes it. SAP, your TMS, Zoho, whatever runs your books stays the system of record. We own the supplier portal, the document reading, the validation engine and the audit trail, then hand your system a clean file. Built and hosted in India, on infrastructure we run.
See the modules
Suppliers self-invoice. The tool checks every line.
A two-tier platform that patches the billing hole in an enterprise TMS or ERP. Vendors log into their own portal and raise the invoice, or upload the PDF they already produced. AI reads it into structured lines. The engine then runs the three-way check and blocks anything that fails, with the reason attached, before it reaches your finance team.
Live for a global freight and logistics operator: 246 carriers onboarded, running against 4,602 reference actuals, 68 contract rate rows and 76 charge codes on a dedicated India-resident box.
Talk to us about your billingThe supplier does their own data entry. The engine does the checking.
Your team does the deciding.
They raise the invoice in their own portal, or upload the PDF they already have.
AI reads the document into structured lines, so a low-tech vendor still bills you cleanly.
Every line is checked against contract rates, recorded actuals and entitlement.
Mismatches go back to the supplier with the exact figure that failed, not a generic reject.
Your team sees only pre-checked invoices, approves, and exports the upload file.
Every decision is logged, so the audit question has an answer before it is asked.
Billing Validator is the core. These are the modules that sit on the same spine,
each already running against a real book of business.
Pay the driver what is owed, minus what is not.
Receivables and payables in one workspace, with typed accessorials for detention, lumper, layover, stop pay and truck-order-not-used. Repair and advance charges net against the settlement automatically, so a 10,000 trip with a 4,000 repair pays 6,000 without anyone doing arithmetic in a spreadsheet. Exports a funding packet, invoice plus rate confirmation plus signed proof of delivery, in the shape a factor accepts.
Turn a contract PDF into a dated payment schedule.
Upload a lease or supplier contract and the engine extracts more than fifty structured fields: parties, premises, rent schedules, escalation clauses, deposits, franchise terms. It flags the clauses that cost you money, scores its own confidence so a human knows what to double-check, then activates the outlet, the agreement, the obligations and the alerts in one click.
For businesses that book on somebody else's paper.
An issuing-partner ledger that tracks what you sold, who physically issued it and what commission you are owed, alongside B2B reconciliation against the supplier's final bill so margin leakage surfaces the day it happens rather than at year end. Adds agent credit wallets, GST vouchering and a one-way sync into your accounting system, with row-level access so staff see only their own book.
The operating spine for an AI-native fund.
Sourcing, diligence and reporting stitched onto a CRM that stays the system of record, fed by an ingestion layer that reaches the sources nobody has a connector for. Writes back with guardrails from day one, so the fund's own data stays trustworthy, and runs local-first on the fund's own hardware rather than somebody else's cloud.
Whatever runs your books stays the record. Fineasy owns the operational layer above it and hands back a file that system can load.
DPDP-compliant hosting on infrastructure we run in India, with nightly backups. Nothing crosses a border unless you ask it to.
Document reading and extraction, not a chatbot over your ledger. Every AI output lands in a rule a person can check and override.
The billing platform went from discovery to a live supplier pilot inside a quarter, on real vendor documents rather than sample data.
Tell us what your finance team currently does by hand.
We usually reply within a working day.
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