AI agency in Evora

An AI agency for Evora, built for how the Alentejo actually earns

Evora runs on visitors, wine, land, and a university, four economies with completely different automation problems, and one shared one: not enough people to answer everything.

A UNESCO city with a historic centre full of guesthouses and restaurants, a ring of wine estates and agro-tourism around it, and a university feeding a steady stream of research and services work. That is Evora's economy in one sentence, and each piece generates a distinct flood of repetitive communication: booking questions in five languages, tasting reservations, event enquiries, supplier admin. AI agents are unusually well suited to exactly this mix.

Tourism first, because the maths is obvious

An Evora guesthouse or wine estate gets the same twenty questions all season: availability, parking inside the walls, whether the tasting includes food, transfer options, cancellation terms. An agent that answers those instantly in the guest's language, day and night, and books directly against your calendar converts enquiries that would otherwise go to whichever property replied first. The human touch stays where it matters, at check-in and around the table, not in the inbox at midnight.

Beyond the front desk

• Wine estates. Trade enquiry handling for export markets, allocation requests, and visit scheduling for importers, in English and French without hiring for it.
• Events and weddings. Structured intake of enquiry details (dates, headcount, budget band) so the sales conversation starts qualified instead of starting from scratch.
• Professional services and the university ecosystem. Document-heavy workflows, from proposal assembly to summarising long reports, handled by RAG systems that work only from your own material.

What working with a Lisbon-based agency looks like

Digiton builds and operates this kind of system remotely from Lisbon, with production deployments across 8 countries, in Portuguese, English, and French. For an Alentejo business the engagement is deliberately small at the start: one channel, one workflow, a measurable baseline, then expansion only when the numbers justify it. No platform migration, no consultants living in your office.

The first step

List the ten questions you answer most and the one admin task you dread weekly. That list is the project scope. If you want it prioritised by payback, an AI audit does exactly that in a single session, and you leave with a ranked plan whether or not you build with us.

Frequently asked questions

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