The full white paper on Microsoft Power Platform negotiation. Power BI, Power Apps, Power Automate, Power Pages, Copilot Studio, Dataverse.
The Microsoft Power Platform Negotiation decision sits inside a commercial cycle where Microsoft controls the calendar, the pricing reference points, and the audit posture. The buyer side discipline is to flip that control. This paper is the executive briefing we hand to clients ahead of any consequential Microsoft commitment event.
The recommendations are deliberately ordered. Recommendation one earns the right to use the rest. The framework is built from over five hundred enterprise engagements across the eleven vendor practices we cover. It is current to 2026 commercial reality.
If you want the underlying advisory engagement, the Microsoft buyer side advisory page describes the scope. If you want the broader practice context, the Microsoft hub indexes every research paper, case study, and playbook we publish.
The paper opens with an executive brief, walks through each topic with strategy plus tactics, and closes with the contract clause appendix, the discount benchmark tables, and a self assessment diagnostic.
Microsoft prices Power Apps and Power Automate on either a per app or a per user model, with Dataverse capacity and premium connectors billed on top. The model choice, not the unit rate, sets the cost.
Buyers who default to per user miss the lever. The per app model often fits real usage at a fraction of the cost.
Per app licenses a user for a defined set of apps; per user licenses unlimited apps for that person. Most users run one or two apps, so per app is usually cheaper.
A per user default, underforecast Dataverse capacity, and committed AI credits push the cost up. The headline app rate is rarely the driver.
Where Power Platform cost concentrates
| Lever | Buyer risk | Buyer move |
|---|---|---|
| License model | Per user by default | Map apps per user |
| Dataverse capacity | Underforecast and trued up | Size to real designs |
| AI Builder | Credits committed early | Tie to consumption |
A right sized license matches the per app or per user model to how many apps each person runs. The usage data, not the default plan, sets the model.
Forecast Dataverse capacity and premium connector need from real solution designs. Capacity tied to designs, not a round buffer, avoids the true up.
The standard Microsoft pitch is to license every maker and user on the per user plan for simplicity and unlimited apps. We disagree.
In the deals Morten benchmarked, per user plans cost 30 to 50 percent more than per app for users who ran one or two apps. The buyer side move is to map apps per user, license most on per app, and reserve per user for the few heavy makers.
The buyer side move is to make apps per user the basis of the model, not a blanket per user rollout.
A Power Platform estate licensed per user for one app users costs more than the same apps sized on the per app model.
Compare the plans on the Power Apps pricing page and confirm the automation tiers on the Power Automate pricing page before you choose a licensing model.
Start with app usage data, not the proposal. The data sets the model.
Bring help in before the licensing model is fixed, while the per app and per user split can still be set. The model you choose drives the cost for the term.
Morten Andersen benchmarked these Power Platform deals himself. He will walk your license mix and your three biggest levers in a 30 minute call. No pitch.
Power Platform is licensed by per user or per app plans for Power Apps, by per user for Power Automate, and by capacity for Dataverse and AI Builder. The hidden cost is Dataverse storage and premium connector entitlements that scale with adoption.
Costs run away through premium connectors, Dataverse capacity, and per flow pricing once citizen development scales. We routinely find shadow environments that triple the expected Dataverse bill.
Across the Power Platform estates we reviewed in 2024 to 2025, license rationalization and capacity cleanup cut spend by 20 to 35 percent. The biggest lever was moving heavy makers to per user plans and casual users to per app.
Negotiate Power Platform as a named line inside the EA, not as an afterthought. Bundled without volume tiers it prices at list, so secure a usage based discount band tied to your three year adoption curve.
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