When does it make sense to talk about an AI-first site or app?

It makes sense when your site or app is not just a brochure, but a key touchpoint in sales, support or operations: lead generation, client onboarding, handling repetitive requests or accessing internal data.

Do we need a lot of data to start an AI-first project?

No. You mainly need clear goals and a few basic data sources (Analytics, CRM, spreadsheets). The project itself can be the opportunity to start collecting the right data in a structured way.

What is the main risk of an AI-first web & app project?

The biggest risk is to design AI features disconnected from real processes and numbers. That is why we insist on measurable MVPs, clear KPIs and continuous optimisation cycles instead of monolithic projects that run for months without feedback.

How long does an AI-first project usually take?

For a first MVP we typically talk about 8–12 weeks, depending on integration complexity and internal team availability. Further extensions can be planned in shorter cycles, based on the actual results.

Can we turn an existing site into AI-first or do we need to rebuild it from scratch?

In many cases you can start from the existing site, adding new sections, flows and AI integrations. When the technical base is too limiting it is better to plan a new AI-first site, but still with a gradual, controlled migration.

AI-First Guide to Websites and Apps | Vudu AI-First Studio in Switzerland

Learn how to design and build AI-first websites and web applications: when it makes sense, which mistakes to avoid and how to structure a project that delivers measurable results for your company in Ticino and across Switzerland.

This guide is designed for Swiss SMEs and decision makers who want to understand how to use AI in websites and web applications in a concrete way – without hype and without turning every project into a never-ending experiment.

You will not find generic definitions of AI here, but a practical framework: when an AI-first approach makes sense, how to avoid the most common mistakes and how to plan an MVP that delivers measurable results.

What does AI-first mean for websites and apps?

An AI-first website or app is not defined by how many models it uses, but by how it is designed: data collection, user journeys and system integrations are all planned so that AI can support real business processes.

This includes clear events and metrics, structured content, and touchpoints where chatbots, AI agents and automations can actually reduce friction for both your team and your clients.

When does an AI-first approach make sense (and when not)?

It makes sense when your website or app is central to acquisition, support or operations and you have repetitive flows that can be assisted or automated with AI.

It does not make sense to force AI into purely static, low-traffic brochures where there is no clear process to improve. In those cases, classic optimisation (UX, copy, tracking) often brings more value.

Typical AI-first use cases for websites and apps

Lead generation funnels where AI qualifies contacts, enriches data and routes enquiries to the right team.
Customer portals where AI agents answer recurring questions and surface the right information from internal systems.
Internal tools where AI prepares reports, summaries or suggestions based on operational data.
Content-heavy sites where AI helps with search, recommendations and personalised experiences.

Do you want an AI-first website or app that actually delivers results?

We help you turn this framework into a concrete project: from the first MVP to the evolution of your AI-first ecosystem.

Book a strategic AI call