“Let’s Just Buy ChatGPT Enterprise for Everyone”: Why SaaS Flat Rates Are a Costly Dead End for Businesses.
The idea is tempting. Rather than developing its own AI infrastructure, the IT department purchases flat-rate licenses for ChatGPT Enterprise, Microsoft Copilot, or Claude for Work. At first, this seems like the perfect shortcut. There’s no development time or effort required for cloud architecture, and employees immediately have a familiar chat window.
However, what starts out as a simple shortcut often turns into a financial and architectural nightmare for companies after just a few months.
Flat-Rate Licenses vs. “At Cost” Token Billing
Per-user SaaS flat-rate plans for generative AI follow the business model of a gym. Most users pay the full monthly price but use only a fraction of the service, while power users hit artificial rate limits. Anyone who wants to scale enterprise AI strategically must overcome these perverse incentives. Examining the facts reveals why flat-rate subscriptions fail and why a central gateway is a far superior alternative.
SaaS providers typically charge fixed monthly prices of between 30 and 60 euros per user for enterprise licenses. That sounds manageable, but it completely contradicts actual usage within the company:
- The General Office Worker: Most employees use AI models selectively—for summarizing emails, drafting text, or conducting quick research. Actual usage here often amounts to only 10 to 100 euros per month in pure token costs. A fixed-price license is simply overpriced for this group.
- The Software Engineer / Data Analyst: Developers and data scientists, on the other hand, refactor complex codebases or perform automated data analyses. Their usage can quickly reach 100 to 1,000 euros per month. With traditional SaaS subscriptions, they constantly run into artificial system limits and throttling.
The PCG AI Gateway Solution:
With the PCG AI Gateway, there is no artificial SaaS markup on tokens. Billing takes place without any markup, directly through your existing cloud provider accounts (LLM tokens at cost). Via the central dashboard, you can dynamically manage spending using per-user budgets with automated alerts at 50%, 85%, and 95% utilization. You pay exactly what is actually consumed—with complete transparency at the department and user levels.
One Provider Is Never Enough
Anyone who purchases ChatGPT Enterprise is tied to OpenAI. Anyone who commits fully to Copilot operates primarily within the Microsoft ecosystem. Anyone who signs up for Claude for Work has access exclusively to Anthropic models.
The reality of the model landscape, however, looks completely different. No single provider dominates every use case:
- For fast multimodal processing and data analysis, Gemini 3.1 via Vertex AI is extremely powerful.
- For complex coding and logic tasks, development teams prefer Claude Sonnet or Claude Opus.
- For highly sensitive European data, regional hyperscalers like STACKIT or Evroc are the top choice.
A single SaaS subscription locks your teams into a monopoly. If the provider changes its prices or guardrails, or if performance drops, your hands are tied. The PCG AI Gateway acts as a provider-agnostic proxy. Through a single endpoint, your teams can access the entire model catalog (divided into Standard, Pro, and Expert tiers)—whether from Google, Microsoft, AWS, or European providers.
A Chat Window Doesn’t Build AI Applications
A SaaS license gives your employees a nice user interface in their browser. But how do the models integrate into your actual IT landscape?
- How do your developers integrate AI directly into their IDEs (e.g., via Claude Code or OpenCode)?
- How do your internal applications and microservices access LLMs?
- How do you build autonomous agents and multi-agent systems?
A pure SaaS chat subscription doesn’t solve any of these problems. It only addresses the manual chat use case. The PCG AI Gateway, on the other hand, provides a standardized, OpenAI-compatible API endpoint. Any tool that understands this standard interface can be integrated immediately. And for employees who need a graphical chat interface, PCG provides ready-to-use, natively integrated add-ons such as OpenWebUI or OpenWork—secured via the same enterprise SSO.
No Connection to SAP, Databricks, and Other Systems
An isolated SaaS subscription has no access to the business-critical systems in your own cloud infrastructure. It remains an external tool that responds with generic knowledge.
The PCG AI Gateway is installed directly in your own cloud accounts (AWS, Azure, or GCP) as the Enterprise AI Foundation. This not only allows you to retain full data sovereignty but also enables you to use pre-built integration patterns and connectors for your actual data sources:
- SAP and Databricks for operational and analytical business data.
- Confluence for unstructured corporate knowledge.
- Power BI / Fabric and Cosmos DB – SQL.
The direct comparison: SaaS per-user subscription vs. PCG AI Gateway
| Criteria | SaaS Enterprise Subscriptions (ChatGPT / Copilot) | PCG AI Gateway |
|---|---|---|
|
Cost Structure |
Rigid license fee per head (often €30–€60/month) |
Token at Cost without surcharge + fixed infrastructure |
|
Budget Control |
No flexible per-user budgets depending on role |
Granular budgets with alerts (50/85/95%) |
|
Model Selection |
Tied to a single provider (lock-in) |
All leading LLMs (Vertex, Azure, Bedrock, STACKIT) |
|
Interfaces |
Primarily limited to chat frontend in the browser |
OpenAI-compatible API for IDEs, Apps & Agents |
|
Data Integration |
No native connection to internal cloud data |
Pre-built patterns for SAP, Databricks, Confluence |
|
Sovereignty |
Data remains in the SaaS provider’s ecosystem |
100% Data Ownership in your own cloud accounts |
Build a Foundation, Not Isolated Solutions
At first glance, SaaS flat-rate plans seem like a convenient shortcut. In the long run, however, they prevent companies from building genuine, vendor-independent AI expertise, drive costs up uncontrollably, and create new silos.
PCG helps you avoid this dead end. With the PCG AI Gateway, you’ll get a turnkey, highly flexible, and GDPR-compliant AI platform directly in your own cloud accounts within just a few weeks—including full cost control, multi-cloud freedom, and direct integration with your corporate data.
Do you want to optimize your GenAI costs and achieve true model independence? Schedule a scoping session with PCG’s Data & AI experts to analyze your current licensing and infrastructure strategy and plan the transition to a centralized AI Gateway.
