Driving AI Adoption
AI agents that work inside your systems
Invoices, payslips, purchase orders, content: our agents do real operational work inside the ERP, CRM and business software you already run. Built for the Italian context.
What we bring
No numbers to show off. Four true things
We publish no savings percentages and no client logos. We publish how we work.
Italian context
National labour contracts (CCNL), e-invoicing, the ERPs Italian companies actually run: the agent follows your rules.
One team
The people who scope the project build it and train your staff. No handover.
Governance from day one
Data in the EU, action logs, human-in-the-loop wherever a decision carries weight.
Honesty
If AI is the wrong answer for a process, we say so during the assessment.
The principle
From generic chat to an agent in the process
Almost every company has already tried AI. The jump is not a better model. It is putting the model inside the process, with access to the right data and systems.
Where you are
The output stays in the chat
Your team uses ChatGPT or Copilot now and then. Then someone retypes the result into the system.
The load
The real work stays manual
Invoices to post, payslips to prepare, orders to raise, content to publish.
The lever and the fulcrum
The agent steps into the process
AI is the lever, complexity is the load. Fulcrum is the pivot: the task closes itself.
What we offer
Where you can start
Three routes. Seven catalogue agents for the most repetitive processes. One custom agent for enterprise. The software around them, if it does not exist yet.
How we work
Four steps, always the same
Assessment
We map processes, data and systems to find where AI creates value and where it does not.
Design
We design the agent: what it does, on which data, through which integrations and controls.
Build
We develop and integrate into your existing systems, testing with the people who will use it.
Adoption
We take the agent into daily use, train your people and measure the KPIs we agreed on.
The first step is a call. Then the assessment, then the quote: nothing is priced before we understand your process.
Industries
Your industry has its own constraints
We do not do generic AI. Every agent starts from the real processes of your industry, its functions and its regulatory limits. That is the difference between a demo and a system that reaches production.
Manufacturing
Raw material reordering, master data and accounts payable in the ERP
Consumer Goods & Retail
Assortment and catalogue management, content across channels
Financial Services
Search across contracts and regulation, receivables and payables under control
Healthcare & Pharma
Regulated documentation and continuous staff training
- Automotive & Mobility
- Utilities & Energy
- Professional Services
- Public Sector
Trust and security
Your data stays yours, and stays accounted for
Technologies
Technologies we use
We are model-agnostic: we pick the model and the platform based on the use case, the data and your constraints, not on a commercial agreement.
- OpenAI
- Anthropic
- Meta
- Mistral
- Microsoft Copilot
- n8n
- Azure
- AWS
- Google Cloud
The first step is a call
A call about your process, not about our catalogue. If AI is not the right answer, you hear it there.