We do not sell a chatbot. We design agents with an identity, memory and real tools: they look up bookings, create tasks, send documents, escalate to a human. We train each agent on your operations manual and tune it on real conversations until it answers the way the best person on your team would.
What you get
In practice
Riacho answers the RIA Aqua Clube Tavira team on WhatsApp with the app’s own data — places, member summaries, billing, training plans — and only records a change after a “yes”. Every morning Camila sends the Livin Stays operations briefing and closes housekeeping tasks from polls in the team’s group.
Agent definition: role, limits, tone of voice, when to escalate
Training on your documents, FAQs, policies and conversation history
Channels: WhatsApp, Telegram, e-mail, web chat, voice
Tools connected to your systems: bookings, CRM, invoicing, calendars, Google Workspace
Agent teams with a lead agent delegating tasks
Control panel: conversations, costs, errors, pending approvals
Team training to work with the agent and improve its answers
Related projects
Own infrastructure
Invented data AI agents on our own server, each with one job: team assistants on WhatsApp, daily operations briefings and reports — with limited access, every call logged and a human confirmation for anything sensitive.
Three teams ask their apps for things on WhatsApp — and no agent sees more than it should.
The platform that runs the whole club: enrolment, classes, attendance and evaluations, certified invoicing, bank reconciliation, a family portal and an AI assistant for the team on WhatsApp.
About 480 members and 100 classes run from one system — the spreadsheet that used to run everything is switched off.
A direct-booking website in Portuguese, English and Spanish, with live availability and prices from the channel manager, Stripe payments and a guest area — and Camila, the team’s AI agent.
Direct bookings since August 2026, with no platform commission; management only receives what needs a decision.
We set clear limits: it only answers from approved documents and, when it does not know, it says it will confirm and escalates to a human. We review conversations during the first weeks and tune.
The best ones for each task (Anthropic Claude, OpenAI, Google), chosen for the balance of quality, cost and privacy. You can switch providers without rebuilding the agent.
Usage costs are transparent: you pay the model providers directly from your own account. A guest-support agent for a mid-sized rental typically costs less than one hour of staff time per week.
Yes. Hands-on training so the team knows what the agent does, how to correct answers and how to ask for new capabilities.
Next step
A 30-minute conversation is enough for us to say what to automate first, what it costs and when it is ready.
