Ola Estate is a small real estate agency near Lisbon, Portugal that helps people buy and rent in Portugal and Spain. Calls came from many listing sites in Portuguese, English and Russian, and nobody was dedicated to answering. They wrote rules for switching languages, and now an AI receptionist answers every call, filters spam and passes on the real leads.
Business type: Real estate. Tool used: Upfirst (AI receptionist). Result: The agency says it no longer misses important calls and saves time by skipping spam. No numbers given.
Source: Upfirst case study (Company case study) · Added Wed, Oct 21 · Last updated 2026-10-21
The agency says it no longer misses important calls and saves time by skipping spam. No numbers given. (as reported by the source)
Guide: AI receptionist for small business: real examples and how to set one up
Our own prompt for copying this setup. Swap in your details. Not quoted from the source.
You answer calls for [Agency]. Greet callers in Portuguese. If they speak English or Russian, switch to that language right away. Ask which property they're calling about, whether they want to buy or rent, and their budget and timing. Take their name and number. Politely end sales and spam calls.
An agent texts each new lead from Facebook, the website or email within seconds, asks about budget, timing and financing, books a showing if they're ready, and follows up later if not.
New property enquiries are tagged as buying, selling, renting or valuation, scored high/medium/low, assigned to an agent, logged in a Google Sheet CRM, followed up, and booked through Setmore.
For a real estate investment firm, n8n texts seller leads in three timed touches, skips do-not-contact tags, and passes replies to an AI agent that qualifies them and books a call.