Understand, build, train, measure.
We do not sell software, and we do not deliver a project and disappear. We come into your company and stay until AI is part of everyday work.
Illustration with sample data
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
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.
- Meetings with management and with the people in each department
- The process map, with the expected return of each
- The first process to tackle, chosen together
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.
- A person from our team on site
- The agent built on real cases, next to those who will use it
- Review queue and confidence thresholds agreed with you
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.
- Training by role, from operations to management
- Written usage rules, AI Act and GDPR
- Company tools instead of personal accounts
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.
- Indicators set before starting
- Regular reviews with management
- Models and agents updated as technology changes
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.
Before you ask.
How long does a project take?
The first process is built and measured over a few weeks. Then we decide together whether to continue with the next one: you do not sign a closed project lasting months.
Who works on site with us?
A person from the Deepelse team who knows both processes and technology. They come into your company, work with the people who run the process every day and remain your point of contact.
Do we need an in-house IT department?
No. We handle development, integrations and maintenance. If you have IT, we involve them for access and security.
What if AI is not needed?
We tell you. Sometimes a process needs fixing first, or a tool you already have is enough. That is a useful answer too.
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.
