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AWS EDP: sizing the commit from your usage, not their story | VendorBenchmark Blog
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Vendor desk · Cloud · From the analyst desk

AWS EDP: sizing the commit from your usage, not their growth story.

An Enterprise Discount Program commit trades a multi-year spend promise for a better rate. The rate is real. The risk is that the vendor sizes the promise from a growth story and you prepay for capacity you never use. Size it from your own run rate instead.

By , Cofounder
July 17, 2026 · 8 minute read · LinkedIn
VENDOR DESK CLOUD

The AWS Enterprise Discount Program is a simple trade dressed up as a complex one. You promise a level of spend over a multi-year term, and in return you get a discount off the rate card. The discount is genuine and often material. The catch is that the promise is a floor, not a ceiling: commit to more than you use and you have prepaid for capacity you will forfeit, and the discount you were chasing is quietly erased by the overshoot.

The vendor has every incentive to size that commit generously, because a larger commit is a larger locked in number. The account team arrives with a growth story, your usage is only going up, and a commit built to match that story is a commit built to be too big. Sizing an EDP well is not about winning a bigger discount. It is about committing to a number you will actually consume, and the only honest source for that number is your own bill.

PART ONE

Start from the run rate you can see

The first move is to stop negotiating from the vendor's forecast and start from your measured run rate. Feed in your cloud cost export and the real shape of your spend appears: the run rate today, the trend across the period, the always on baseline, and the spikes that are one time rather than structural. That baseline, not an aspirational curve, is what a commit should be anchored to. A commit sized to a spike you will not repeat is a commit sized to fail.

The export never leaves your control to produce this. It is parsed where it sits, turned into a run rate and a per service trend, and the analysis is built from that. What you get is not the vendor's picture of your future, it is your own present, measured, which is the only defensible place to start sizing a multi-year promise.

app.vendorbenchmark.com/tooling/cloud-cost
The cloud cost optimizer: a cost export turned into run rate, per-service trend, and a commit planner sizing the EDP against measured usage
Your cost export turned into a run rate and a per service trend, then a commit planner sized against what you actually spend.
THE SAME JOB, TWICE
TODAY, BY HAND
The AWS account team arrives with a growth story and a confident single number for the multi-year commit.
An analyst exports the cloud bill and wrestles it in Excel, trying to separate the always-on baseline from one-time spikes.
The discount at each commit tier gets accepted as quoted, because nobody has a reference for what comparable enterprises achieved.
The CFO slide gets built the night before, and a year later nobody can reconstruct why the commit was sized where it was.
A week of spreadsheet modeling, and a commit sized to the vendor's pipeline
WITH VERA
Upload the cloud cost export to the cloud cost optimizer: it is parsed where it sits into a run rate, a per-service trend, and the always-on baseline versus one-time spikes.
Set your own growth scenarios in the commit planner, conservative, middle, and fast, and see committed cost against pay-as-you-go under each.
Enter the discount you expect at each commit level and benchmark it against comparable enterprise cloud agreements.
Export the brief, the recommended commit, the savings, the levers, and the downside if the forecast is wrong, and take it to finance.
About an hour to a stress-tested commit and a forwardable brief
What changes: a week of spreadsheet wrestling becomes an hour to a commit sized from your own meter, and the overshoot risk gets priced before you sign. The stakes are the floor: on a $5M a year commit, sizing to the vendor's fast case when your realistic case runs 10 percent lower means $500,000 a year of promised spend you either forfeit or scramble to consume, which no rate-card discount pays back.
PART TWO

Model your growth, and your discount, not theirs

A commit is a bet on the future, so the honest way to size it is to model the future as a range you control, not a single number the vendor hands you. The commit planner lets you set your own growth scenarios, a conservative case, a middle case, and a fast case, and see the committed cost against pay as you go under each. The point is to find the commit that earns the discount in your realistic case without tipping into forfeited capacity if growth comes in slow.

The same applies to the discount itself. Rather than accept the vendor's framing, you enter the discount you actually expect to achieve at each commit level and watch it flow through the math, set against a reference of published rates. The result is a plan that says, at this commit, at this discount, under this growth, here is what you save versus paying on demand, and here is the downside if you overshoot. That is a decision. The vendor's single confident number is a pitch.

"A commit sized to the vendor's growth story is sized to be too big. The discount you win on the rate, you lose on the capacity you forfeit."
app.vendorbenchmark.com/benchmarking
A benchmark on cloud commitment discounts: the discount at each commit tier set against comparable enterprise agreements
The discount at each tier benchmarked against comparable enterprise cloud agreements, so the rate you accept is one others actually got.
PART THREE

The brief that makes the case internally

A commit decision is rarely made by one person. It has to survive finance, who will ask what happens if growth stalls, and leadership, who will ask why this number and not a rounder one. So the planner produces a brief: the recommended commit, the savings against pay as you go, the levers you pulled, and the downside if the forecast is wrong, laid out in a couple of pages you can actually forward.

That brief is what turns a spreadsheet exercise into an approved decision. Instead of a gut call defended in a meeting, you have a documented case, sized from your own usage, stress tested against your own scenarios, and benchmarked against what the discount should be. The commit you sign is one you can explain a year later, when the invoices arrive and someone asks whether it was the right call.

BEFORE YOU COMMIT

Sizing an EDP without the overshoot

1
Anchor to the run rate. Size from your measured baseline, not the vendor's forecast. A commit built on a spike or a growth story is built to forfeit capacity.
2
Model your own growth. Run conservative, middle, and fast scenarios and find the commit that earns the discount without tipping into overshoot if growth is slow.
3
Benchmark the discount. Enter the discount you actually expect and set it against comparable agreements, so the rate you accept is one others have really achieved.
4
Document the case. Produce a brief with the recommendation, the savings, and the downside, so the commit survives finance and reads well a year later.
THE HONEST LIMIT

A model of the future is still a bet

No planner removes the uncertainty in a multi-year commit, and your own growth can surprise you in either direction. The scenarios bound the risk, they do not eliminate it, and a genuine step change in your business can outrun any commit you sized conservatively. Committing always means accepting some chance of being wrong.

What changes is who wrote the forecast. Sized from your run rate, stress tested against your scenarios, and benchmarked against a real discount, the commit is your bet on your business rather than the vendor's bet on their pipeline. That is the difference between a commit you chose and one you were sold, and over a multi-year term on a large cloud bill, it is a difference measured in real money.

About the author
, Cofounder, VendorBenchmark

Morten brings two decades of enterprise and software procurement, with stints across Oracle, IBM, SAP, and Salesforce shaping how he reads a deal. He has led sourcing through hundreds of renewals, from mid market order forms to nine figure global agreements, and learned that the buyers who win are the ones who walk in knowing the market. He built VendorBenchmark to make that pattern recognition repeatable.

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