real-estate chatbot

We build it on your property catalog using RAG: the model pulls current listing parameters, doesn’t fabricate prices or availability, and when it doesn’t know the answer, it states so directly and escalates to the agent (human-oversight). Contact details are masked before being sent to the cloud (PII), and the conversation log is auditable from day one.

The router directs queries through guardrails layers: questions about legal status or price negotiations are immediately forwarded to a human instead of generating a response that could mislead the client.

How much does this service cost and when does it pay off?#

We work within ranges depending on the size of the listings database and the number of service channels. We start with a pilot on a single catalog with measurable results before expanding the scope. When the chatbot takes over a dozen to several dozen hours of lead qualification per month, the return typically appears within 2–5 months. For precise calculations, use the ROI calculator; we don’t provide upfront pricing because it depends on the actual scope.

Does it integrate with CRM systems and comply with GDPR?#

Yes. We connect the chatbot to your CRM and listing portals via controlled API. Contact details, phone numbers, and addresses (PII) are masked before being sent to the cloud model. Compliance with GDPR and AI Act is designed from the start: interaction logs, legal basis for processing, and data deletion options are part of the implementation, not an add-on.

Where do we start?#

With an audit of your listings catalog and a pilot on a narrow scope: one property type, one contact channel, measurable results (e.g., number of scheduled viewings). We demonstrate a working system before asking for trust, then gradually expand the scope. More on the approach: how to choose the first process.