Microsoft Power Platform · Governance · Cost Control

Power Platform Sprawl Is Silently Compounding Your Microsoft Costs

Power Platform's "anyone can build" appeal has made it the fastest-growing licensing liability in the Microsoft stack. Dataverse overruns, rogue premium connectors, and the 2026 Per App plan retirement are creating true-up shocks that procurement never modelled. Download our expert guide before your next EA renewal surfaces the damage.

By Fredrik Filipsson Co-Founder and President, Redress Compliance April 2026
$3B+
Microsoft Power Platform annual revenue — growing fast
$40/GB
Dataverse capacity list price per month — compounds silently
Jan 2026
Per App plan ($5/user/app) retired — pricing floor removed
Nov 2026
Free AI Builder credits removed — add-on purchases required

Why Power Platform Is Now Your Biggest Licensing Blind Spot

Power Platform was positioned as a low-cost productivity enhancement bundled with Microsoft 365. In practice, it has become the most complex and fastest-compounding licensing exposure in the Microsoft stack — and most enterprise IT and procurement teams are managing it reactively rather than proactively.

The platform's licensing model combines seeded entitlements (basic capabilities included in M365 licences), standalone licence tiers, pay-as-you-go consumption pricing, and Dataverse capacity add-ons. Each layer can be triggered independently by business unit decisions made without IT or procurement visibility. The result is costs that compound silently until they surface at EA renewal time — by which point negotiating leverage is gone.

2026 changes you may not know about: On 2 January 2026, Microsoft retired the Power Apps Per App plan ($5/user/app/month) — the most affordable entry point for organisations needing premium connectors or Dataverse access. From 1 November 2026, Microsoft is also removing the complimentary 5,000 AI Builder credits included with Power Apps Premium and Power Automate Premium. Both changes increase baseline costs for organisations that haven't restructured their licensing approach.

The Three Cost Vectors That Catch Enterprises Off Guard

Dataverse capacity overruns. Dataverse database capacity is priced at approximately $40/GB/month for additional capacity beyond your default allocation. Most organisations never model this figure in their initial Power Platform business case — it appears as an invoice line at renewal, after the data architecture decisions have already been made. At scale, Dataverse capacity costs frequently exceed the original licence investment.

Premium connector proliferation. Standard M365 seeded licences do not include premium connectors. When developers connect to Salesforce, SAP, or any non-Microsoft data source, they trigger a premium licence requirement per user. Without an active inventory of connector usage, these requirements accumulate across hundreds of apps and workflows before IT has visibility.

AI Builder credit depletion. As of November 2026, AI Builder features require separately purchased credits. Organisations that have embedded AI Builder steps into production workflows face a choice between purchasing add-on credits or re-engineering deployed solutions — neither of which was anticipated in the original business case.

"We see the same pattern repeatedly: Power Platform starts as a departmental productivity tool and becomes a strategic licensing liability within 18 months. The governance architecture that prevents this costs a fraction of the true-up it avoids." — Fredrik Filipsson, Microsoft Licensing Specialist, Redress Compliance

What a Governed Power Platform Architecture Looks Like

The organisations that control Power Platform costs share a common architecture: they have established clear entitlement boundaries between seeded and premium capabilities, they monitor Dataverse capacity consumption in real time, and they apply licence assignments at the department level rather than ad hoc at the user level.

This isn't an IT governance exercise — it's a procurement discipline that directly reduces your Microsoft invoice. Our guide gives you the framework to implement it, whether you're starting from a sprawling ungoverned estate or building governance into a new Power Platform deployment.

What the Guide Covers

  • Full breakdown of seeded vs. premium vs. standalone Power Platform licensing tiers
  • Dataverse capacity modelling: how to forecast and right-size before EA renewal
  • Premium connector inventory methodology — find hidden licence exposures fast
  • 2026 Per App plan retirement: migration options and cost impact analysis
  • AI Builder credit strategy for organisations with production AI workflows
  • Governance architecture blueprint: CoE toolkit, environment policies, licence monitoring
  • Negotiation positioning: how to use governance data as leverage at EA renewal
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Microsoft Power Platform Sprawl Control Guide

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What's Inside
  • Seeded vs premium entitlement matrix
  • Dataverse capacity forecasting model
  • Premium connector discovery checklist
  • 2026 Per App retirement migration guide
  • AI Builder credit sizing framework
  • Governance architecture blueprint