Feasibility Study for the Introduction of Artificial Intelligence (AI)
AI IN BUSINESS
Do you want to introduce Artificial Intelligence into your company?
Before getting started, it is essential to carry out a feasibility study.
If you do not have reliable data, clear processes, and well-defined responsibilities, introducing AI can create complexity and risks instead of benefits.
In practical terms
With the Feasibility Study for the Introduction of Artificial Intelligence, we assess in a structured way how ready the organization is to adopt these technologies, identify where AI can create real value, and define the prerequisites needed to introduce it in a sustainable and manageable way.
This helps you avoid the most common scenario: investing in a powerful AI solution and then discovering that it is not adopted, does not integrate into business processes, or does not meet security and compliance requirements.
Companies that want to assess whether, where, and how to introduce AI without improvising.
Organizations that already use tools such as ERP, CRM, Microsoft 365, Business Intelligence systems, or similar platforms, and want to understand how to truly enhance them through AI.
Organizations that pay close attention to data management, compliance, security, and reputation, and want to innovate through a structured and controllable process.
This service is offered in collaboration with
Luca Mauriello
Expert in Artificial Intelligence, cybersecurity, and data management, active in the digital sector in Ticino for many years.
The duration depends on the size and complexity of the company. On average, the study requires around 36 hours of work, distributed across preparation, workshops and interviews, analysis, and drafting of the final report.
Do you already need a structured IT department?
No. However, it is important that the company has some internal points of contact for processes, data, and operational decisions.
Is it a technical or strategic project?
Both. The study aligns management and operational functions, while at the same time analyzing the technical feasibility related to data, tools, and security.
Do you also analyze privacy and compliance aspects?
Yes. During the technology analysis phase, we also assess security, privacy, regulatory compliance, and AI governance, to ensure responsible and compliant adoption.