Artificial intelligence in Milan
Milan companies work with documents, clients and numbers in large quantities. We build artificial intelligence tools that make them usable, with clear rules on data and accountability.
We’ve already made more than 70 companies better
Where knowledge is the product
In a city of financial services, consulting, law firms, fashion and media, much of a company’s value lies in what it knows: contracts, procedures, analyses, archives of projects and products. That knowledge is often scattered across shared folders, emails and the memory of a few people.
Artificial intelligence makes it accessible and keeps it under control: it answers on what is documented, checks the numbers for those who have no time to, and anticipates demand and workloads. All in regulated sectors, where privacy and traceability are not negotiable.
The challenge for Milan companies is not experimenting with AI but taking it into production in a governed way: knowing what data it uses, who oversees it, how it is measured. This is where a project either starts well or stays a demo.
Some of our projects
Artificial intelligence services
From the first use case to production, on your company’s data.
Chatbot AI
An assistant on internal knowledge: procedures, template contracts, project archives. It answers citing its sources and respects the permissions of whoever asks.
Anølyzer
It watches sales, collections and operating indicators every day and brings to management what doesn’t add up, before the month closes.
Predictions
Forecasts on sales, returns and staffing needs: useful for a fashion collection as much as for a service with seasonal peaks.
AI adoption
AI strategy and governance: use case map, vendor selection, internal policies and training, in line with GDPR and the AI Act.
Digital that delivers concrete results in Milan
Webion works on shared metrics to turn investments into tangible returns.
Measurable goals
Before writing code we set the indicators with you: hours saved, errors avoided, response times.
Pragmatic innovation
We pick the technology that solves the problem, not the fashionable one, and bring it to production step by step.
Frictionless delivery
Short, frequent releases, tried by the people who will use them, so the software enters the company without stopping work.
Hypotheses, measures, learning
Every release comes with metrics and retrospectives to fine-tune the roadmap.
Use case
We pick a concrete process and set the indicators that will measure the result.
Prototype
We build a first tool on your real data and test it with the people who will use it.
Production
We integrate it into your existing systems, with permissions, logs and security.
Measure
We compare results with the goals and decide together whether to extend, adjust or stop.
Start small, measure, then grow
We pick a narrow, measurable use case, build a prototype on your data and test it with a group of users. We work from Modena, meeting in Milan at the decisive moments. Only when the numbers confirm it do we extend the solution to other teams, with the same care for security and access.
Clients who improved their KPIs
Our collaboration brings measurable benefits in efficiency, revenue and user satisfaction.
Lower churn thanks to personalised experiences and targeted notifications.
More digital conversions through UX optimisation and multivariate testing.
More productive teams through automation and operational dashboards.
AI that is reliable and governed
Document search
The assistant answers only from your documents and cites the source of every answer.
Permissions
Everyone sees only what they are allowed to see, and every access is logged.
Monitoring
We track answer quality, costs and usage, and step in when something changes.
Compliance
Every solution is designed in line with GDPR and the AI Act, with clear rules on data and vendors.