AI Automations
AI automations for SMEs in Verona and Veneto
Every company has tasks that repeat every day and take up valuable time: sorting emails, classifying documents, answering FAQs, extracting data from PDFs, updating spreadsheets. With AI applied to real processes, these tasks can be automated reliably, freeing your team for work that truly requires human intelligence.
What we build
We build AI agents and automated workflows for email and document classification, structured data extraction from PDFs and images, automatic replies to internal and external FAQs, periodic report generation, intelligent notifications based on custom conditions. We don't sell pre-packaged solutions: every automation is designed around your specific processes and tested until it's reliable.
Who it's for
AI automations work best in companies with high volumes of repetitive and loosely structured activities: professional firms with lots of email communication, companies with intensive document management, sales offices handling many standardised requests. If your team does the same things every day and wonders 'couldn't this be done automatically?', the answer is almost always yes.
How we work
We start by mapping the process you want to automate: inputs, outputs, exceptions, edge cases. Then we build a working prototype and test it on real data before going to production. The first automations we build are deliberately simple — better something that works 95% of the time than something complex that fails unpredictably. Then we expand gradually.
Technologies we use
We use Python as the main language, with OpenAI APIs (GPT-4o) for language models and specialised libraries for document processing. For more complex workflows we integrate orchestration tools that allow us to build robust pipelines with automatic retries and logging. Everything is monitored: if an automation fails, we know before you do.
A real example
A consulting firm based in Verona received between 80 and 150 client emails every day. Most were repetitive questions about deadlines, documents to attach, case status. The secretariat spent two hours every morning on it. We built an agent that reads incoming emails, classifies them by type and urgency, automatically replies to FAQs with firm-approved responses, and routes the rest to the right inbox with a suggested priority. After go-live, email management time dropped from two hours to twenty minutes a day.
Frequently asked questions
Yes, AI can make mistakes. That's why every automation we build has a confidence threshold: when the model isn't sure, the operation is passed to a human instead of proceeding autonomously. Human supervision always remains available.
No. We use OpenAI APIs with options that exclude data use for training. We can provide technical documentation and DPA (Data Processing Agreement) if your company needs it for GDPR compliance.
For simple automations (email classification, data extraction from standardised PDFs) 2-4 weeks is enough. For more complex workflows with multiple steps and external integrations, the typical time is 6-10 weeks.
Always. Before go-live we run a testing phase on real data where you can see every agent decision and validate it. We go to production only when you're satisfied with the accuracy.
Let's talk about your process
Describe the repetitive task that wastes most of your time. We'll tell you if and how it can be automated.