Services
We do not build isolated AI demos. We analyse operational workflows, build the right software and integrate AI where it saves time, prepares decisions or makes knowledge usable.
Many projects do not start with a perfect specification. They start with a recurring problem: quoting takes too long, knowledge sits in files, documents are copied by hand or teams lose time on repetitive work. From there we build concrete solutions with real data, approvals and links to existing systems.
AI automation
We automate steps that are manual, slow or error-prone today. AI helps where documents, text, emails or historical data need to be understood.
Best for companies that already know which process slows them down, but do not yet have a clean software solution for it.
AI agents
AI agents become useful when they have tools, data and clear boundaries. We build agents that prepare, prioritise, check and document work while sensitive decisions stay with people.
The focus is not autonomy at any cost, but reliable support inside real business processes.
Custom AI software
When a process needs more than a tool, we build web apps, dashboards or SaaS systems. AI is one component in the product, not the whole solution.
Products such as enAI, Socedio and AutofatturaPro show how we design and run production software.
The work does not end with a recommendation. Depending on the starting point, you get a testable pilot, an internal application or a production integration into existing systems.
Prioritised processes, data assessment, effort/value estimate and a realistic next step.
A first solution using real examples so value and limits become visible before larger investment.
Connections to ERP, CRM, file servers, email, databases or existing specialist software.
Web app, dashboard or assistant interface with roles, status, human review and logs.
Clear explanation for teams, admins and decision-makers: what the solution does, where limits are and how to use it.
Hosting, monitoring, changes and expansion if the pilot moves into daily operations.
We understand the process, data, existing systems and decision points. The result is an honest view on whether AI is useful here.
A first prototype works with real examples. This quickly shows what works, where the limits are and what effort is realistic.
If the pilot holds up, we add approvals, roles, integrations, monitoring and operations properly.
We do not need to start with a large strategy. One concrete workflow is enough to assess data, value and the next step.
