The Hidden Risks of SaaS Contracts

When your digital tool changes unilaterally — and there is nothing you can do about it

The EU Sovereignty Wave: Background

In recent months, Europe’s political and technology decision-makers have grown increasingly vocal about what they long treated as mere principle: digital independence is not ideology — it is a business and security necessity. The change is not playing out in abstract discourse, but in concrete decisions that follow the same logic.

In June 2026, the office of French Prime Minister Sébastien Lecornu announced that the DGSI domestic intelligence service is replacing its Palantir analytics platform with the French-developed ChapsVision software. The transition will take years — but the symbolic message was immediate: an agency handling the most sensitive data of a NATO member state declared that technological dependence on American platforms is a security risk.

In the Netherlands, parliament obliged the government to examine ending its Palantir dependency. In the United Kingdom, a parliamentary report described the company’s presence in critical state systems as an ‘unacceptable vulnerability.’ Switzerland rejected Palantir bids at least nine times on security grounds.

In parallel: on 9 June 2026, Euro-Office 1.0 launched — a sovereign alternative to Microsoft 365 and Google Workspace developed by a European consortium including IONOS and Nextcloud. The backdrop is the American Cloud Act: a law that allows US law enforcement to access data held by American companies even when that data is physically stored on European servers.

The connecting thread across all of these developments: a single event in spring 2026 made visible what had previously been a theoretical concern. Access to Anthropic’s frontier models was cut off overnight — and affected European users and institutions watched helplessly as a Washington decision removed the tool on which they had built their work.

Price Hikes — Overnight, Without Explanation

The AI access shutdown is the most dramatic example, but not the only one. The right of SaaS platforms to modify contracts unilaterally is not a new phenomenon — but the number and scale of documented cases has surged in the past two years.

In September 2024, Canva notified Teams subscribers by email that annual plan pricing would rise from $119.99 to $500 — nearly a fourfold increase, justified by the expansion of AI features (Magic Studio). Subscribers had no say; they were simply informed of the decision.

GitHub Copilot switched to consumption-based billing on 1 June 2026, announced only a few weeks in advance. Developers reported cost increases of 10 to 50 times during intensive sessions, while the previous flat-rate model disappeared. Figma introduced new pricing in March 2025, with certain licence types rising by 25 percent at the first renewal — applied retroactively to existing customers, again unilaterally.

These are not isolated incidents. A 2026 survey of nearly a thousand IT leaders found that the average annual SaaS price increase today stands at 8–12%, reaching 15–25% for more aggressive providers — several times the general rate of inflation. Seventy-eight percent of respondents had experienced an unexpected, unannounced charge from a cloud provider in the past year.

OpenAI itself is not immune to this logic: the company projects a $14 billion loss for 2026, illustrating how heavily subsidised current pricing is. This model is not sustainable — and as venture capital pressure shifts toward profitability, prices will converge upward.

Silent Behaviour Change — When the Tool Is No Longer the Same

A price increase is at least visible and predictably bad: the email arrives and a decision must be made. But there is a more dangerous phenomenon: when a tool’s behaviour changes quietly, without announcement, while its name and price remain the same.

Stanford and UC Berkeley researchers documented this in 2023 with a striking case: following a GPT-4 update, the model’s accuracy in identifying prime numbers fell from 97.6% to 2.4% within a matter of months — and no end-users were notified. The change manifested in the work of developers using the API: the same code, the same question, but a completely different — and far worse — result.

In April 2025, an update made GPT-4o excessively compliant: instead of critical feedback, the model confirmed everything. The change went unannounced, and users only noticed when the quality of responses visibly deteriorated. OpenAI reversed the update within days — but that did not help those who had already published unchecked outputs based on the flawed model.

In August 2025, the launch of GPT-5 caused all previous models to disappear from the selection list overnight. Professionals who had relied on a specific model’s behaviour in established workflows woke one morning to find their tool gone, replaced by a new, differently behaving model — again without notice, without adaptation time.

For a lawyer, accountant, or physician, this is just as dangerous as an actual outage — only harder to detect. A junior employee who is not the firm’s principal receives a task and produces output — but the quality is not what it was yesterday. The principal will encounter the problem in the brief, the balance sheet, or the report.

EU Digital Sovereignty: Real Demand, Incomplete Answer (For Now)

The European Union is simultaneously building sovereignty on multiple fronts: the Wero payment system, the Euro-Office suite, Mistral AI. These are genuine and promising initiatives — but not yet complete solutions. Mistral’s founder himself acknowledged in 2026 that ‘our models are not yet the best.’ Euro-Office launched at version 1.0 in June 2026. Wero has 48 million users, but online and in-store payment coverage is planned only from 2027.

Sovereignty is thus strong at the level of intent, still under construction at the level of delivery. That gap is precisely what an offline, on-premise AI solution fills.

The ArkeoAI Approach: Control, Not Promises

ArkeoAI does not promise to run the best model. It guarantees that the model deployed today will behave the same way tomorrow. There is no update that silently changes behaviour. No price increase communicated by email. No outage caused by another country’s decision — because there is no network connection through which such a decision could be enforced.

Model selection is client-specific and collaborative: not the newest or largest model is deployed automatically, but the one that delivers the most predictable results for the specific workflow — legal extraction, translation, contract analysis. The client and ArkeoAI make this decision together, validated on real tasks and real documents.

Control rests with the client. That is ArkeoAI’s single, but decisive, advantage over every cloud-based solution — and it is not a marketing claim, but an architectural fact.