The AI department your company doesn't need to hire.
We help you understand where AI creates value, build AI agents together with the people who will use them and train your team to work with AI. Then we keep updating the agents and the skills, because the technology changes every quarter.
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AI is already in your company. Without rules.
Staff use it every day, often with personal accounts and company data. Value comes when someone brings it into the processes, with a method.
47% of Italian workers use AI tools at work. Only 19% use the ones provided by their company.1
70% of the value of an AI project depends on people and processes. Algorithms account for 10%.2
Only 9% of large Italian companies have AI governance. In SMEs, usually nobody is in charge of it.1
- Osservatorio Artificial Intelligence, Politecnico di Milano, February 2026
- BCG, Applied AI Index, September 2026
Understand, build, train, measure.
We do not sell software. We come into your company and stay until AI is part of everyday work.
- 1
Understand
We start from how you really work. We meet management, listen to people and rank the processes where AI pays off most, with the expected return of each.
- 2
Build on site
A person from our team works with your staff and builds the agents next to those who will use them. If a process is not ready, we tell you before writing any code.
- 3
Train and set rules
Training for every level, usage rules, AI Act and GDPR. People learn to use AI safely and stop using it in secret.
- 4
Measure and continue
Every process has its indicators. We review them with management and decide the next step together. Models change: keeping them up to date is our job.
If a process is not ready for AI, we tell you before writing a single line of code.
It starts from your process.
Below are some of the most common cases. They are not a catalogue: in the first call we work out which process costs you the most hours today, even if it is not on this list.
Order management
How it worksToday. Orders arrive by email, PDF, WhatsApp and phone. Someone copies them into the ERP, line by line.
With the agent. The agent reads the order, recognises the customer and the items, checks prices and availability and enters it. People only look at the doubtful cases.
Quotes
How it worksToday. Quotes come out of spreadsheets and the memory of whoever writes them. The history exists, but nobody looks at it.
With the agent. The agent finds similar past quotes, proposes items and prices and prepares the draft. Sales reviews and signs it.
Customer service
How it worksToday. The same questions arrive ten times a day, by phone and email. The answer depends on who is free.
With the agent. An assistant handles first-level requests, by voice too, with your company's information. When a person is needed, it hands over the call with a summary.
Back-office administration
How it worksToday. Supplier invoices to enter, payments to reconcile, reminders to send. Hours every week, always the same.
With the agent. The agent enters documents, matches payments and invoices and flags only the differences. Reminders go out in the tone you choose.
Email management
How it worksToday. Shared inboxes with hundreds of messages. Sorting them and replying takes hours in every department.
With the agent. The agent classifies every message, assigns it to the right person and prepares a draft reply. Nothing goes out without a review.
Reports and minutes
How it worksToday. Site visits, meetings, interventions: notes and photos that become a document in the evening, by hand.
With the agent. A voice note and a few photos are enough. The agent writes the report in your company's format and files it where it belongs.
Your process is not on this list?
How we startThat is the most common case. Every company works its own way, and the process that pays off most is often the one nobody had thought of.
In the first call. You tell us how you work today. We tell you whether an agent makes sense, where we would start and what you need to begin.
The rules we work by.
People before technology
An agent nobody uses is worth nothing. We build it with the people who work in the process and change it until it works for them.
The right model for each task
We work with OpenAI, Anthropic, Google and open-source models. If a better one comes out tomorrow, we change engines without touching the way you work.
Your data stays yours
European environments, controlled access, no training on your data. When needed, the agent runs on your servers.
Measured results
Before starting we agree what to measure. We discuss results with the numbers in front of us, not with impressions.
To decide with more information.
- AI glossaryLLM, RAG, AI agent, tokens, fine-tuning, AI Act: the terms you hear in meetings, explained plainly.Glossary
- TechnologyAgents that do not depend on a single provider, with data in European environments and controlled access.Our choices
- AI ActDeadlines, training obligations and what changes for companies using AI.In Italian
If AI is not the right answer for your case, we will tell you.
A 30-minute call about a process that costs you time today. We tell you what we would do, and what we would not.
