Before you invest in AI, you will find out whether your infrastructure, data and organization are ready for it, and exactly what needs to be prepared first.
The board knows AI is coming. It does not know whether the company is ready
This is not about choosing a specific tool or a single process to automate. It is about whether the data is in order, whether the infrastructure can handle the load, whether the processing meets legal requirements and whether the team will be able to use it.
Companies that start by buying a specific tool before checking these four things usually end up back at square one a few months later, along with an investment that does not work as intended.
Before you choose a process or a product
Considering an investment in AI across the whole organization, not a single department.
Responsible for making sure the infrastructure and security can handle the new load.
Already have a specific process?
If you already know which process you want to improve, you will probably start one step further: with an AI audit and pilot together with GOTOMA Software House.
Tailored options, not an off-the-shelf package
We review the state of the organization in four areas and present recommendations matched to your situation, not a single option proposed in advance.
Four areas, one picture of readiness
Whether today’s resources are sufficient and what will be missing when AI use grows in scale.
Whether the way data is processed meets regulatory requirements and internal policies.
Whether the data AI would work on is complete, organized and accessible.
Whether the organization has the skills to actually use the deployed solution.
We do not reduce this to a simplified decision scheme or a selection tree. The combination of these four areas is different every time, and simplifying it would distort the result.
The audit ends with a recommendation, not a decision
Which directions you implement and in what order remains on your side. This includes the right not to implement anything if the results do not point that way.
What we say and what we don’t
Full security or a guarantee of compliance. That is confirmed only by the implementation and, if needed, by an independent compliance audit.
An accurate picture of the current state and a clear indication of what needs to change and why, so that the implementation follows current security standards and applicable regulations.
Material on which an investment decision can be based
Areas where the organization meets the conditions for implementing AI without additional preparation.
Specific gaps in infrastructure, data, compliance or skills, along with the order in which it makes sense to address them.
No ready-made efficiency indicators or savings percentages. These appear only with a specific implementation and are the subject of a separate pilot, not of this audit.
Private AI and Local Environments
Infrastructure for AI and Data
Security and AI Act Compliance
AI Application Refactoring
AI Audit and Pilot ↗
We will start with what you already know about your infrastructure and data, and then tell you what still needs to be checked.
