Spendassay vs. Ramp
Ramp shows what you spent. Spendassay tells you what it bought.
These aren't the same product, and this isn't a takedown. Ramp is an excellent finance platform — cards, bill pay, and spend controls that many teams (including ours) are happy to run. But seeing AI spend by vendor is table stakes now. The harder question — the one a CFO actually asks — is whether that spend is buying more shipped software, and where the wasted dollars are. That's an audit, and it's a different job.
The one-line difference
A spend view answers “how much did AI cost?” Spendassay answers “what did it return, how sure are we, and which dollars can we get back?” — as a proof-level AI cost report with recovery actions attached to each finding.
Two jobs, often side by side
Use each for what it's built for
Reach for Ramp when…
you need to issue cards, pay bills, set budgets and approval flows, and see transactions as they clear. It's the finance system of record — and a good one.
Reach for Spendassay when…
you need to defend AI spend to a CFO or board: connect it to engineering output, put a proof level on every number, and turn the waste into recovered dollars you can bank.
Plenty of teams run both — Ramp for the card, Spendassay for the audit. Spendassay reads spend from wherever it lives (card exports, invoices, or usage APIs), so it sits happily downstream of a finance platform.
We read Ramp
Keep Ramp. It is one of the sources we audit.
Ramp is a supported connector, not a competitor to replace. What we read from it: card transactions and bills, to attribute AI-vendor spend. What we never read: anything beyond what's needed to classify AI spend. The connection is read-only, and it is the same scope published on the security page. If you already run Ramp, the audit starts from data you have.
What a card and invoice feed structurally cannot see
This is not a gap in Ramp. It is a gap in what a transaction IS. A charge records that money left, for which vendor, on which date. Three things it cannot record, and all three are where AI waste lives:
- Which seats were used. An invoice for 300 Copilot seats looks identical whether 300 people use it or 90 do. The idle seats are inside the same line item, at the same price, on the same date. Seat activity lives in the vendor admin console, which is a different system from the card.
- What the tokens were spent on. A metered API charge arrives as one number. Which team, which service, which model tier, and whether a cheaper model would have done the same job are all invisible on the transaction and visible in the usage API.
- Whether any of it shipped anything. No spend record, from any spend platform, contains engineering output. Joining the two is the audit.
So the honest comparison is not Ramp versus Spendassay. It is a complete record of what you paid, next to an audit of what it bought. Ramp is very good at the first. We only do the second.
Side by side
Built for different questions
| Dimension | Ramp | Spendassay |
|---|---|---|
| Primary job | Corporate cards, bill pay, and spend controls — the finance system of record. | An independent audit of AI spend against engineering output — the AI cost report, not the ledger. |
| AI spend view | What hit the card, by vendor and merchant — the transaction truth. | Seats, tokens, and infra put in the same format per tool across every vendor, reconciled invoice-vs-usage. |
| Connects spend to output | Not its job — Ramp is a finance platform, not an engineering one. | The whole point: throughput and quality deltas priced against spend, with the cost of going faster shown. |
| Evidence on every number | Transactions are exact; there's no productivity claim to tier. | Counted / Compared / Estimated tier on every figure, with a drawer to the source rows. |
| Turns findings into recovered dollars | Budgets and alerts help you watch spend. | Step-by-step recovery instructions + renewal negotiation packages, with a banked Recovered statement. |
| Pricing | The card and expense product is free to use; Ramp earns interchange on the spend it carries, with paid tiers for more advanced finance features. Check ramp.com for current tiers. | Published and self-serve: free Snapshot, Observe $16 per engineer per month, Control $40. Per covered engineer, never per employee, and no percentage of your spend. |
| Independence | Issues the card and earns on the spend. | Doesn't issue cards or resell tools — a neutral auditor with no stake in the number going up. |
Ramp's capabilities are described in general terms from its public positioning as a spend-management platform; check ramp.com for specifics. Everything in the Spendassay column is what the product does today, each number carrying its proof level.
Common questions
Spendassay and Ramp
- Do I have to choose between Ramp and Spendassay?
- No, and we would rather you did not. Ramp is a supported read-only connector: we read card transactions and bills from it to attribute AI-vendor spend. Ramp records what you paid; the audit works out what it bought. Most teams that run both keep Ramp exactly as it is.
- Ramp already shows my AI vendors. What does an audit add?
- A transaction records that money left, for which vendor, on which date. It cannot record which of the seats on that invoice anyone opened, which team burned the tokens, or whether the spend shipped anything. Those live in the vendor admin consoles, the usage APIs and your version control system. Joining them to the invoice is the audit.
- Does Spendassay need Ramp?
- No. Ramp is one of several ways spend reaches the audit. Vendor invoices, admin-console billing pages and a CSV export all work, and the audit runs on a single source if that is all you have.
- What does it cost next to Ramp?
- They are not substitutes, so it is not either/or. Spendassay is published and self-serve: a free Snapshot, then $16 per covered engineer per month for Observe and $40 for Control. We take no percentage of your AI spend and no referral fee from any vendor, which is what lets the audit say a number you will not like.
See the audit Ramp isn't built to run
The demo turns real spend into a defensible AI cost report — findings ranked by recoverable dollars, each number tiered, each throughput gain beside the cost of going faster.