For the past three years, the SaaS cost conversation has been about sprawl. Too many apps, too few users, too much shadow IT. That problem is real —66% of enterprise SaaS licenses are still untouched or surplus to need, and the average organization wastes tens of millions of dollars each year on licenses nobody uses. But sprawl is a problem you can see, audit, and fix. What’s hitting IT budgets in 2026 is harder to catch —because it’s hiding inside the contracts you already signed.
Guest Article: Andreas Schmidt, Co-CIO, CEWE Group
The Portfolio Stopped Growing. The Bill Didn’t.
Here’s the data point that should make every IT leader pause. Gartner’s IT spending analysis shows SaaS expenditure continuing to rise year over year even as enterprise portfolio sizes have plateaued. Organizations are not buying more software. They are paying significantly more for the software they already have.
A growing share of enterprise technology budgets now flows exclusively into SaaS subscriptions —and that figure isn’t climbing because of new tools. It’s climbing because of what vendors embedded in your last renewal cycle, and what they are about to embed in your next one.
AI Is the New Line Item Nobody Budgeted For
Eighteen months ago, AI was a feature vendors mentioned in demos. Today it is a billing category. AI-native application spend grew 108% year over year in 2026, and in large enterprises that growth surged by nearly 400%. That number is not driven by new AI tools your teams chose to buy. Much of it is driven by AI features bundled into existing contracts at renewal —whether you asked for them or not.
The billing mechanics have also changed. Traditional per-seat SaaS is predictable: 100 seats, one price. AI tools bill by token, by credit, by consumption. A single power user of an AI-enabled platform can generate costs that dwarf the organizational average —sometimes by an order of magnitude —making budgets far less predictable than they were two years ago. Gartner reports that the majority of IT leaders encountered unexpected charges tied to AI or consumption-based pricing in the past year, meaning most teams are discovering these costs after the fact, not before.
Gartner’s research consistently finds that fewer than a third of organizations have accurate, real-time visibility into their AI software spend. The rest are flying blind into a pricing model specifically designed to be hard to predict.
The Auto-Renewal Clause That Renews at the Wrong Count
Even before AI entered the picture, renewal mechanics were quietly compounding the problem. 89% of SaaS contracts now include auto-renewal clauses. In a large enterprise with hundreds of active contracts, the default state is renewal —at whatever count, tier, and price the vendor last set.
The trap isn’t just that the contract renews. It’s that it renews at the count you had twelve months ago, before layoffs, a product consolidation, or a workforce restructuring reduced your actual user base. 79% of IT leaders faced price hikes at renewal in 2026, with mandatory AI feature bundling and systematic elimination of grandfathered pricing pushing annual expenditure up sharply for companies running heavy multi-tool stacks. Vendors aren’t doing anything illegal. They are simply executing on contract terms you agreed to, at a pace that outstrips most teams’ capacity to track and respond.
Gartner estimates that through 2027, organizations that fail to centralize SaaS visibility will overspend by at least 25%. Not 25% on bad tools. 25% on tools they already own, renewing at prices nobody reviewed, with AI add-ons nobody activated.
Regulation as a negotiating tool
European companies have leverage that is rarely seen in US-dominated debates. The EU Data Act has been in force since September 2025 and strengthens the right to switch between cloud and SaaS providers. Fees for such a switch must be phased out completely by January 2027. As a result, providers lose an important tool for customer retention, whilst customers gain room for manoeuvre in negotiations. Added to this are the EU AI Act, which sets transparency and governance requirements for AI functions, and the GDPR. If AI features are automatically activated as part of a contract renewal, the question quickly arises as to the legal basis on which personal data is being processed in that context. Anyone who raises these questions during negotiations turns a compliance obligation into a tangible argument.
The Underestimated Source: Staff Turnover
A significant proportion of unused licences arises not from misguided purchases, but from gaps in processes. Employees leave the company, change departments or roles, and their licences remain active. The most effective countermeasure is often unspectacular: a seamless integration of HR systems, identity management and licence allocation via single sign-on and automated provisioning. A well-functioning ‘joiner-mover-leaver’ process prevents waste before it becomes visible on the dashboard.
The Gap Between Knowing There’s a Problem and Knowing Where It Is
Every IT leader reading this already knows their SaaS costs are higher than they should be. The harder question —and the one that determines whether you can actually do something about it —is whether you know where the exposure is. Which contracts are auto-renewing in the next 90 days? Which licenses have AI credits you’re not using? Which tools have three overlapping owners or none at all?
That gap between “we know there’s waste” and “here is the specific number and the fix” is where most organizations are stuck. Not for lack of effort, but because managing SaaS at scale —across discovery, cost allocation, usage tracking, renewals, governance, and automation —requires a level of maturity that most programs haven’t reached yet.
Knowing your maturity level is the first move. The USU SaaS Maturity Index takes five minutes. You rate yourself across the six dimensions that determine whether your SaaS program is ahead of your contracts or behind them. You get a score, a benchmark against where most organizations sit, and one specific priority to close the most expensive gap first.
What Should Be Included in the Contract
Transparency alone does not reduce costs. What is crucial is what is set out in the contract for the next renewal. This includes price caps for renewals – perhaps linked to a consumer price index – and ‘true-down’ rights, which allow the number of licences to be adjusted to the actual workforce. Equally important are explicit opt-out options for bundled AI features, coordinated expiry dates across multiple contracts, and a well-maintained calendar of all notice periods. It is important to note that with major providers such as Microsoft, SAP, Salesforce or Adobe, a 90-day notice period is rarely sufficient. Six to nine months is a more realistic timeframe if you actually wish to explore alternatives rather than simply renegotiate terms.
What “In Control” Actually Looks Like
An organization with full SaaS maturity doesn’t just have visibility. It has visibility that’s connected to action. Usage data feeds renewal negotiations. Ownership is defined per application. AI spend is tracked in real time, not discovered in a quarterly invoice. Renewals trigger review workflows 90 days out —not the week they land.
That isn’t a theoretical state. It’s what a purpose-built SaaS management platform makes operationally possible —automated discovery, cost allocation, rightsizing, and write-back across multiple native SaaS integrations, including Adobe, Microsoft 365, Salesforce, ServiceNow, and more.
The organizations that will avoid the next round of budget surprises are not the ones who negotiated harder last quarter. They are the ones who stopped managing SaaS reactively —and built a program that sees what’s coming before the invoice does.
Curious to find out where your SaaS program stands? Learn more and join the USU live webinar on November 18, 2026.