Artificial intelligence is already here.
Adopting it is no longer a choice; adopting it well is.
We help you do it.
Companies that do not adopt it fall behind; those that adopt it without care expose their data and systems. Fast and safe adoption takes three steps.
01Reskill people#skill_issue
Training people comes before the tools: knowing how to use them, judging their results, recognising their limits.
Why
Among Italian firms that considered artificial intelligence without adopting it, 58.6% name lack of skills as the first obstacle (ISTAT, 2025). Tools that are bought and not used, or used without care, bring no benefit.
What we do
- Courses for roles and departments, on each person's real work
- Safe everyday use: what can be shared and what cannot
- Critical assessment of results: recognising errors and invented information
- AI literacy as required by the AI Act (art. 4)
02Secure datacurl -F file=@client_contracts.pdf api.openai.com
Confidential data stays in the company: models running on local systems, no document sent to outside services without a decision.
Why
Documents, contracts and client data entered into outside services leave the company's control: they are stored and processed elsewhere, under rules the company does not set. For professionals bound by confidentiality it is also a matter of liability.
What we do
- Identifying confidential data and the processes that use it
- Clear rules on what may go to the cloud and what may not
- Models running on internal systems for confidential data
- Support with GDPR and Italian AI law obligations
03Secure systemsrm -rf /
AI tools can do only what is needed: limited permissions, no destructive actions, results checked before use.
Why
An AI tool connected to mail, files and business software can do whatever its permissions allow, by mistake or through malicious instructions hidden in a document. Automatically generated code can contain vulnerabilities.
What we do
- Minimal permissions for every tool and every user
- Network isolation of AI systems
- Log of the actions tools perform
- Checking results and code before use
Values
Control
Data stays where the company decides. Every choice between cloud and internal systems is justified in writing.
Independence
No commissions from software or hardware vendors. If a tool already in use is enough, that is where we start.
Continuity
Whoever analyses the project builds it and supports it over time, on site and remotely.