Trusted by bold builders
Selected teams we work with across Italian provinces




We weave artificial intelligence (AI) into day-to-day operations with AI agents ready to act. They analyse documents, surface answers, prepare reports and support decisions in plain language. By connecting to your archives and APIs, AI becomes a practical service instead of a concept on paper.
We run field workshops to identify where artificial intelligence and AI agents remove repetitive work: ticket triage, meeting summaries, knowledge-base lookups, auto-generated proposals. A prototype is built, tested with users, and integrated into your existing tech stack with real-world feedback.
Security is integral: agents have granular permissions, full logging and versioned models. We enforce privacy, retention and regulatory rules, narrowing artificial intelligence to authorised sources. Each AI agent shows who acted, on which data and why.
Impact is monitored with tangible metrics: time saved, fewer errors, higher satisfaction and avoided costs. Performing AI agents are scaled across departments; those that underperform are iterated or retired. Prompts and datasets are refreshed whenever documentation shifts so AI stays aligned with the business.
AI Agents that boost productivity and quality
We identify repetitive processes, build scalable prompt libraries and monitor adoption so AI becomes a lasting competitive edge.
Agente AI commerciale
Ricerca prospect, script multilingua, follow‑up personalizzati che aumentano il tasso di chiusura.
Agente AI assistenza tecnica
Consulta documenti, propone fix e genera report tecnici completi di log e note di campo.
Agente AI contenuti & marketing
Articoli, social e piani editoriali coerenti con la brand voice di Bologna.
Artificial Intelligence strengthens governance across the enterprise
Training, guardrails and controls make AI part of everyday work without friction.
Contact usProcess mapping
We map workflows, spot quick wins and design human‑AI collaboration.
Prompt library & guardrails
Guidelines, examples and controls to keep brand and compliance in check.
Training & adoption kit
Courses, office hours and internal communities to spread AI skills.
Impact measurement
Dashboards for time saved, output quality and company satisfaction.
Reliable infrastructure for enterprise AI Agents
Security, versioning and observability keep enterprise AI assistants reliable and governed.
Version‑controlled doc search
Every knowledge update is tracked with rollback and automated tests.
Granular roles & permissions
Different access for marketing, sales and ops: AI Agents only see what they must.
Orchestrazione multi‑agente
Agenti specializzati generano, controllano e approvano output prima dell’uso.
Frequently asked questions
What companies usually ask us before starting a local engagement.
Who is Webion and what makes it stand out among provincial software houses?
We are an end-to-end partner: discovery, design, development, data platforms, and AI. Multidisciplinary teams and a modern stack let us deliver measurable value to SMEs and enterprise groups.
What kinds of projects do you build (custom software, apps, AI)?
We build web/mobile applications, SaaS platforms, IoT systems, and generative AI solutions (RAG, agents, automations). We cover UX/UI, DevOps, and analytics to hit concrete business metrics.
Do you handle integrations with ERP, CRM, MES, or IoT devices?
Yes. We ship API connectors for ERP/SAP, CRM, MES, PLM, and industrial devices (MQTT, OPC-UA). Security, logging, and documentation are included so the new software talks to your existing systems.
How much does a custom project with Webion cost?
It depends on scope, integrations, interfaces, and compliance needs. We start with a short discovery to estimate effort and roadmap, then propose milestones with transparent, tranche-based budgets.
What are your delivery timelines for an MVP and for the full go-live?
We plan sprints and incremental releases from kickoff. Typically we launch an MVP in a few weeks to validate value, then evolve the product with fast iterations up to the final go-live.
Which technologies do you usually work with?
We use a modern stack: Next.js, Node.js/TypeScript, Astro, Postgres, time-series databases, Tailwind/MUI, Docker, Traefik, and Prometheus/Grafana monitoring. Deployments run on Cloudflare, OVH, and when needed AWS/Azure.
Launch your AI Agents roadmap with Webion
Governance, security and KPIs to distribute AI across the business functions of Bologna.
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