Get a demo

Ramp to NetSuite reconciliation

Match every Ramp transaction against your NetSuite journal entries at close, fuzzy-match merchant names, and get a clean exceptions report. No more line-by-line CSV review.

Get a demo

The prompt

At month-end close, I export our Ramp transactions and check them against what's been booked in NetSuite one line at a time. Build me a flow that pulls every Ramp transaction for the month with its amount, merchant, date, cardholder, and GL category, pulls the matching journal entries from NetSuite for the same period, matches them on amount, merchant, and date even when the merchant names don't line up like "Amazon" versus "AMZN MKTP," and gives me an exceptions report of anything in Ramp that isn't booked in NetSuite and anything in NetSuite with no Ramp match.

Just copy and paste the prompt into a new Parabola flow to get started.

What Parabola builds

A workflow with five steps you can edit:

1. Pull Ramp transactions for the month. Amount, merchant, date, cardholder, and GL category for every transaction in the period.

2. Pull the NetSuite journal entries. The corresponding booked entries from NetSuite for the same date range.

3. Match on amount, merchant, and date. Parabola's join and fuzzy match line up rows even when merchant names don't agree, so "Amazon," "AMZN MKTP," and "Amazon.com" resolve to the same vendor.

4. Surface the gaps in both directions. Anything in Ramp with no NetSuite entry is not yet booked. Anything in NetSuite with no Ramp match is a potential ghost entry.

5. Output a clean exceptions report. Only the rows that need a human, grouped by gap type, dropped into a Parabola Table or sent to the close team.

Why teams stop doing this manually

Reconciliation is the part of close that scales with spend, not with effort. Every card transaction has to tie to a booked entry, and the only way to prove it does is to put the two lists side by side. So an accountant exports the month of Ramp activity, pulls the matching GL detail out of NetSuite, and starts matching rows by amount and date, squinting at merchant names that never agree. "AMZN MKTP" on the card. "Amazon.com" in the GL. Same vendor, different string, no automatic match.

It runs hours long, and it happens during the few days when finance has the least time to spare. The transactions that match are easy and take all the time. The ones that matter, a charge that never got booked, a journal entry with no card behind it, are buried in the pile and easy to skip when the close clock is running. A missed gap is not a clerical slip. It is an unbooked expense or a ghost entry that shows up in the numbers leadership signs off on.

The version that holds up pulls both sides on a schedule, matches them even when the merchant strings disagree, and hands the accountant only the exceptions. The matching stops being the job. Resolving the gaps becomes the job, and close gets shorter.

How it works

Step 1. Paste the prompt.

Open Parabola, paste the prompt in section 2, and let it ask follow-up questions about your match keys, your period, and how strict the merchant matching should be.

Step 2. Connect your data.

Your Ramp account and your NetSuite instance. The flow reads transactions from one and journal entries from the other.

Step 3. Run it at close.

Trigger it on your close calendar or run it daily through the month so gaps surface early instead of all at once on day one.

Related prompts

FAQ

How does it match transactions when the merchant names don't line up?

Parabola's fuzzy match handles naming inconsistencies like "Amazon" versus "AMZN MKTP." You set the match keys, amount plus date plus merchant by default, and how loose the merchant comparison can be. For vendors that never resolve cleanly, add an alias table the flow reads from.

What's a ghost entry?

A NetSuite journal entry with no matching Ramp transaction. It could be a duplicate, a miscoded entry, or something booked that never hit the card. The flow surfaces gaps in both directions, so you catch unbooked card spend and unmatched GL entries in the same report.

How is this different from Ramp's native NetSuite sync?

The sync pushes transactions from Ramp into NetSuite. It does not check what actually landed or flag what is missing on either side. This reconciles the two systems after the fact and surfaces the gaps the sync left behind.

Does this work with Brex, Amex, QuickBooks, or Sage Intacct?

Yes. Swap the card source, the ERP source, or both. The match logic and the exceptions report stay the same.

How is this different from doing this in Excel?

Excel works until you are matching hundreds of card transactions against GL entries with mismatched merchant names every close. Parabola fuzzy-matches the rows, surfaces both-direction gaps, runs on a schedule, and shows every match decision so you can audit the reconciliation itself.
Stop matching card charges to the GL by hand.
Paste the prompt, connect Ramp and NetSuite, and get a clean exceptions report every close instead of a CSV and a long afternoon.
Start for free