🔴 In our conversations with companies, we increasingly see one topic that is still not getting enough attention: the real monthly cost of AI usage.

Not only the cost of AI tokens, but also the growing number of AI tools that employees are already using every day.

ChatGPT, Claude, Perplexity and many specialized AI solutions for marketing, sales, research, customer support, design, analytics and productivity.

On top of that, there is another cost layer that many companies are only starting to understand: API usage, especially when AI solutions are connected to internal databases, knowledge bases, CRM systems, customer support systems or other business tools.

For many companies, these costs are already happening. They are just not yet fully visible, structured or managed.

The way we see it, AI usage is becoming a new operational cost category, similar to telecom, cloud or software subscriptions.

🔵 And that means companies will need to start asking some very practical questions.

Do we know which AI tools our employees are using?
Do we know who is paying for them?
Are these tools approved, secure and compliant?
Do we understand how much we spend every month on AI tokens, subscriptions and APIs?

Are our AI solutions connected to internal systems and databases in a controlled and cost efficient way?

🟢 And maybe the most important question:
Are we managing AI costs strategically, or are they already growing somewhere in the background?

We believe this will become an important topic for every serious company in the next period.

🟢 AI is no longer only about innovation.
It is becoming part of everyday business infrastructure.