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Artificial Intelligence in Alessandria: from plan to impact

Trusted by bold builders

Selected teams we work with across Italian provinces

We bring artificial intelligence (AI) and AI assistants into operations by focusing on everyday responsibilities. Agents read policies, search for data, prepare reports and support decisions within existing tools so AI becomes actual support.

Implementation starts operationally: we examine how teams work and select uses where artificial intelligence and AI agents cut rework—ticket routing, PDF summarisation, CRM queries, email drafting. A prototype is built, put in users' hands and integrated with production systems.

Security is integral throughout: segregated environments, restricted permissions, tracked access and constant versioning. GDPR and internal policies confine artificial intelligence to necessary data. Each AI agent operates under strict, transparent oversight.

Results are tracked with clear KPIs: minutes saved, fewer mistakes, deliverable quality, ROI. Performing agents scale; others are adjusted or sunset. Prompts and models evolve with data and procedure changes so AI stays valuable long term.

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 Alessandria.

Guided adoption

Artificial Intelligence operates as a reliable business partner

Training, guardrails and controls make AI part of everyday work without friction.

Process mapping

We map workflows, spot quick wins and design human‑AI collaboration.

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Prompt library & guardrails

Guidelines, examples and controls to keep brand and compliance in check.

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Training & adoption kit

Courses, office hours and internal communities to spread AI skills.

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Impact measurement

Dashboards for time saved, output quality and company satisfaction.

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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.

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Granular roles & permissions

Different access for marketing, sales and ops: AI Agents only see what they must.

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Orchestrazione multi‑agente

Agenti specializzati generano, controllano e approvano output prima dell’uso.

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FAQ

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.

AI built for local enterprises

Launch your AI Agents roadmap with Webion

Blueprint, prototypes and governance to launch AI agents inside the enterprises of Alessandria.