Implementation of AI in an enterprise environment
AI works well when matched at the same time
for business purposes and the existing technological environment.
We will help the two not go in separate directions.
What does “Service” mean to us?
For us, the service is not a predefined package, but a framework for cooperation.
This means that:
- Technology decisions are made in a business context
- solutions fit the existing IT architecture
- the introduction is gradual and controlled
Service
territories
In this phase, we will help you understand where in a given organization it is worth thinking about AI and where it is not.
The aim of the pilot is not to “be AI”, but to enable decision-makers and the IT side to move forward on the basis of concrete experience.
When developing the solution, it is paramount to consider existing systems, data sources and operating principles.
Rather than appearing as a separate layer, AI is integrated into the existing environment, enabling the IT team to manage it in the long term.
In some situations, it is not a new solution that is needed, but direction and expertise.
In this case, our experts work together with the internal team, helping to develop, make decisions and implement without knowledge “escaping” from the organization.
The technological background behind AI solutions determines scalability and sustainability.
We help you build an architecture that is reliable, scalable, and aligns with your company's operating principles.
Why you should go with Athene AI
decide?
Regarding the introduction of AI, the same questions often arise in managers and on the IT side.
Below is a summary of how to deal with these situations in practice.
 Athene AI | Other AI platforms |
|---|---|
| Completely private (private cloud) | Shared cloud environments |
| Hogyan illeszkedik a meglévő IT-környezethez? | Limited or missing logging |
| Fully customizable for corporate purposes | Limited flexibility |
| Easily fits into existing systems | Difficult integration |
| Guaranteed industry and regulatory compliance | General guarantee of conformity |
For which organizations does this approach work well?
This approach works really well when the organization is ready to introduce AI consciously and operationally.
We are technologically responsible
In the organization there is a CIO, CTO or IT person who is transparent about the systems and participates in decisions.
Business data available
For the most part, the data is available, even if not in a perfectly structured form.
There are specific processes
They do not want “AI”, but are looking for a solution to a well-defined problem.
Openness to gradual introduction
The organization accepts that AI will not be introduced in one step, but with pilots and iterations.
How does cooperation work in practice?
We clarify business and technology goals together before we start building anything.
A quick trial that gives an interpretable result for both managers and IT.
The solution is integrated into the business operation in a manageable form for the IT side.
Based on experience, we decide on the next steps.
