Artificial intelligence in Belluno
We bring artificial intelligence into Belluno companies in practical ways: assistants that answer from your documents, daily checks on your numbers and forecasts to handle tourist seasons and production peaks.
We’ve already made more than 70 companies better
Snow, collections and scattered data
The Belluno area combines specialised manufacturing, with eyewear makers working in collections and variants, and a tourist economy that depends on snow and on summer in the mountains. Add to that the mountain dairies, such as those making Piave cheese, and the hydroelectric plants along the valleys.
Artificial intelligence helps where there is plenty of information and little time: an assistant that answers on technical sheets and quality procedures, a check that flags returns or scrap out of the ordinary, an estimate of arrivals to decide how many staff to call in next week.
With small companies and often seasonal staff, knowledge risks staying in the heads of a few people. An assistant that answers on procedures helps onboard whoever arrives for winter or summer, and spares repeated questions to those already juggling plenty of other tasks.
Some of our projects
Artificial intelligence services
From the first use case to production, on your company’s data.
Chatbot AI
An assistant that answers on assembly manuals, quality procedures or the internal rules of a ski area, always pointing to the document the answer comes from.
Anølyzer
Every day it checks orders, returns, takings and consumption and alerts management when something drifts, such as a frame model with rising returns or a lift with unusual takings.
Predictions
It estimates demand for collections and spare parts, arrivals in the peak weeks and workshop workloads, so you organise staff and purchasing ahead of time.
AI adoption
We help you pick the case to start from, train the people who will use the tools and set rules on data and vendors, in line with GDPR and the AI Act.
Digital that delivers concrete results in Belluno
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.
One use case at a time, even at a distance
We work from Modena: prototypes and checks move forward remotely, with frequent releases. We come to you when we need to see processes and data first-hand, test the tool with its users and support the launch. After release we keep following the tool, measure its results and update it when your data or your needs change.
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.