Meet Neel. One invoice in five arrives with an exception. Neel works the three-way match line by line and drafts the packet your approver signs.
1,860 invoice lines matched this week. 214 exceptions worked: 171 resolved with supplier or GRN evidence, 39 drafted as discrepancy notes, 4 duplicate invoices stopped worth ₹7.1L. Oldest open exception: 4 days.
What Neel does, item by item.
The whole queue, not a sample. Every finding cited back to its source.
Matches every invoice line against the PO and the GRN before it queues for payment.
Drafts discrepancy notes for quantity, rate and tax mismatches, with the documents cited.
Prepares the payment-approval packet: invoice, PO, GRN, match result, exceptions.
Chases missing GRNs and supplier corrections so exceptions close instead of aging.
Flags duplicate and near-duplicate invoices before they reach the payment run.
Keeps an exception aging view so nothing waits past your payment terms unseen.
- ·Payment approval
- ·Vendor disputes worth a phone call
- ·The posting to your ERP
- →Line-level three-way matching
- →Discrepancy notes with evidence
- →Payment-approval packets
Neel never approves or posts a payment. He matches, drafts and assembles; the approval click belongs to your team, and it is logged.
How it earns trust.
Pilot on your history, supervised on your queue, governed always.
Runs on a historical corpus your team already reviewed. You score its findings against what your reviewers caught. No production access.
Works the live queue. Every finding is a draft until a named human approves it, and every rejection is logged and measured.
The envelope never relaxes. Reading, checking, and drafting get automated. Approval stays human, by design.
The hand-off.
How Neel pings a human when it's your call.
The honest answers.
No dodging, no contact-sales-to-find-out.
How bad is the exception problem really?+
Does Neel post to the ERP or pay anyone?+
We have an AP automation tool. Why Neel?+
Put Neel on the queue.
Start with a paid pilot on your historical corpus, finished in weeks. Then a full deployment over 3 to 4 months, with a forward-deployed team working alongside your people.


