01
Custom AI
Open-weight models on your servers or in a European cloud, with search across company documents (RAG), permissions respected and sources always cited.
Digipa AI · 02
AI training you use the next day
Hands-on courses on the tools your team actually uses, tailored to each role and documented as an AI literacy measure under the AI Act (Art. 4).
The problem
Why you need it
Many employees already use AI tools, often without shared rules. A useful course starts there: which tools, for what, with which data.
We build the courses around your company’s use cases, in Italian, on site or online, and leave you a training record and a usage policy ready to adopt.
Possible courses
- All staff: what generative AI is, its limits, errors and confidential data
- Marketing and sales: prompts, content, source checking
- Administration: automations for email, documents and spreadsheets
- IT and development: RAG, open-weight models, security and self-hosting
How it works
The programme, step by step.
Questionnaire
A short internal survey on tools, habits and concerns.
Programme
Modules chosen by role, length and format.
Workshop
Exercises on the company’s real documents and processes.
Follow-up
Policy, record and a Q&A session a few weeks later.
What you get
Six deliverables, no black boxes.
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01
Usage mapping
Which AI tools are in use, including unofficial ones, and by whom.
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02
Role-based courses
Basic for everyone, advanced for content creators, technical for IT and development.
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03
Hands-on workshops
On site or online, in Italian, on the company’s real use cases.
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04
Usage policy
Approved tools, data classes, approvals: one clear rule for everyone.
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05
Training record
Materials and attendance as evidence of the measures taken.
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06
Funded training
Help assessing inter-professional training funds with partner training bodies.
AI Act, Art. 4. Companies that use AI systems must take proportionate measures to ensure AI literacy among their staff. There is no single certificate: what matters is documenting the training delivered, and that is what our training record does for you.
How we start
From the first meeting to ongoing management.
Discovery call
30 minutes, free: use cases, available data, constraints.
Pilot
One or two real use cases, with an agreed test set and success criteria.
Roll-out
Integration with your systems, permissions, logs and user training.
Management
Monitoring, content updates and periodic re-evaluation of the models.
Who builds your AI
Engineers who run real data, in production.
We don’t show AI case studies we don’t have. We show what we run every day: DroneDB, our open-source platform for geospatial data, where we index, search and protect terabytes of files with multi-level permissions.
Discover DroneDB- 1,300
- active users on DroneDB
- 2,500
- organisations
- 4.5 TB
- of data managed
- 290★
- on GitHub, MPL-2.0 code
Figures published on dronedb.app and GitHub, October 2026.
FAQ
Before we start
Is AI training mandatory?
The AI Act requires companies that use AI systems to take measures to ensure an adequate level of AI literacy among their staff, proportionate to roles and risks. There is no single certificate: what counts is documenting what you have done.
How long is a course?
From a half-day workshop to programmes over several sessions. We define it based on roles, number of people and goals.
Can it be funded?
In some cases yes, through inter-professional training funds. Requirements and windows change often: we check them case by case with partner training bodies.
Other Digipa AI solutions
03
AI for customer care
An AI assistant on your website, WhatsApp and helpdesk that answers from your official information and hands over to a person when needed.
04
AI for business intelligence
Natural-language questions on your management software, CRM and databases: answers with numbers, charts and the query that produced them.
Free introductory call
Let’s talk about AI training.
A free 30-minute call with an engineer: use cases, available data and a concrete idea of timings and costs.