Deploy AI agents that work in Lugano.
Beyond chat: AI agents that answer from your content and call your own systems through custom API actions during a conversation. For Lugano teams that want an assistant that does more than reply.
Why businesses use intoCHAT for AI agents
An agent that answers from your content and only calls the actions you define.
Grounded in your knowledge
Train it on your website, files, text snippets and Q&A pairs. Q&A answers take priority over other sources.
Calls your own API during a chat
Custom API actions let the agent look things up in your systems, with inputs it collects from the conversation.
You choose what the model sees
Pick which fields of your API response are passed to the agent. Everything else stays out of the conversation.
Replies in the visitor's language
The AI model detects the language each visitor writes in and answers in it.
Actions on your own page
Client-side actions run JavaScript functions on your website, for example to open a form or scroll to a section.
Turns conversations into leads
Show the lead form manually, by rules or when the AI decides it fits. Every new lead lands in your leads table and inbox.
AI agents for Lugano's enterprise stack
Lugano is the economic heart of Italian-speaking Switzerland (Ticino) — a private-banking center with deep cross-border trade ties to northern Italy. Customer-facing teams work primarily in Italian, with daily DE/FR/EN traffic from clients elsewhere in Switzerland and German-speaking partners. Clear, accurate answers in Italian matter as much as speed.
Private banking & asset management
Italian-first client answers; contact details collected for advisor follow-up.
Cross-border SME trade
Answers in Italian, German or English for Swiss-Italian commercial flows.
Hospitality & tourism
Lake-region hotels, restaurants, transfers: questions answered and booking requests collected as leads.
Legal & fiduciary services
Service questions, appointment requests and first-contact details collected as leads.
What the agent can do
Actions run during the conversation, using details the agent collects from the visitor.
Custom API actions
Any HTTP method, with bearer token, basic auth, API key or custom headers. Up to 25 actions per agent.
Test before you publish
Import a cURL command, run each action in the built-in test runner, and try the agent in the playground.
Live product search for shops
Paste a shop URL and intoCHAT creates product search from its public data. Answers show product cards with image, price and link.
Chat logs and dashboard
Read full transcripts and follow conversations, messages and leads over 7, 30 or 90 days.
What the agent can see and do
- You decide which pages and documents the agent learns from
- The agent can only call the API actions you add
- You choose which fields of an API response the model sees
- Visitors share contact details only when they choose to
- Built-in rules keep answers grounded in your content and resist prompt injection
- Every conversation is visible to you in the chat logs
What Lugano enterprise teams ask about AI agents
Build an AI agent on your own content and tools
Start on the free plan, no credit card needed. Train the agent, add an API action and test it in the playground.
Create your agent free