The buyer side framework for Google Gemini Enterprise procurement. Workspace integration, Vertex AI, Gemini Code Assist, multi provider strategy.
Google prices Gemini Enterprise as a per user add on to Workspace, billed on top of the underlying seat. The attach rate, not the unit price, sets the real exposure.
Buyers who anchor on the per user rate miss the lever. How many seats actually get the add on decides what you pay.
Gemini Enterprise is the packaged add on for Workspace users; Vertex AI is consumption billed model access for builders. They are separate commitments and each needs its own buyer side discipline.
A blanket seat attach, an over committed Vertex spend, and a long lock make the deal expensive. The list price is rarely the real driver.
Where Gemini Enterprise cost concentrates
| Lever | Buyer risk | Buyer move |
|---|---|---|
| Seat attach | Add on applied to all seats | Attach to measured users |
| Vertex commit | Prepaid and stranded | Protect burn down |
| Term | Locked on old pricing | Keep terms short |
A right sized attach matches the add on to the users who actually run Gemini, with room to grow. The pilot data, not the Google forecast, sets the count.
Commit only what usage data supports and secure rollover on unused spend. A protected burn down, not a prepaid lump, holds the value.
The standard Google pitch is to attach Gemini across the whole Workspace estate now to lock the best per user rate. We disagree.
In the evaluations Fredrik ran, blanket attach stranded 30 to 50 percent of the add on spend on seats that never used the feature, while staged attach tracked real adoption. The buyer side move is to attach to measured users, protect the Vertex burn down, and keep terms short on a market that reprices every quarter.
The buyer side move is to make measured adoption and short terms the basis of the deal, not the attach headline.
A Gemini Enterprise deal attached across every seat costs more than a staged attach that tracks who actually uses it.
Confirm the packaging on the Google Workspace AI page and the consumption rates on the Vertex AI pricing page before you set an attach level.
Start with measured adoption, not the Google forecast. The usage data sets the attach.
Bring help in before the attach is fixed, while it can still track adoption. The first attach you accept sets the baseline for renewal.
Fredrik Filipsson ran these Gemini and Workspace AI evaluations himself. He will walk your seat plan and your three biggest levers in a 30 minute call. No pitch.
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