LiveListing match
I am looking for a three-bedroom flat in Kadıköy.
OutcomeMatches criteria against inventory and shares listings
Fast response for every listing
AI assistants that know your inventory, understand budget and location preferences, recommend listings and book calls with agents.
KVKK-ready infrastructure · 50+ languages · human handoff built in

All four run on the same agent: every call is recorded, the outcome is written back into your systems and, when the rules say so, handed to a person.
LiveI am looking for a three-bedroom flat in Kadıköy.
OutcomeMatches criteria against inventory and shares listings
LiveMy budget is around six million — is it mortgage eligible?
OutcomeQualifies the budget and flags mortgage eligibility
LiveCan I see it in person on Saturday?
OutcomeBooks the viewing in the agent's calendar
LiveWill an agent call me back?
OutcomeHands the qualified lead to an agent
Here is what happens when the phone rings: the agent reads the intent, checks your systems, completes the action and — where it matters — leaves the file with a person.
Finds the property the caller mentions and ranks similar options in your portfolio.
Captures budget range, room count and preferred neighbourhoods during the call.
Determines whether the caller is buying or renting and adapts the conversation.
Assigns the viewing to the agent who covers that area and property type.
Reads the agent's availability and avoids booking two viewings at once.
Passes budget and criteria to the agent so the call starts with full context.
For each outcome we put today's method next to the agentic one, and listed the systems it touches.
Answers listing enquiries and collects budget, location and room-count criteria through the call.
Pulls matching listings from your portfolio and presents them with price and viewing availability.
Transfers the call to the right agent and writes the collected criteria and notes into the CRM record.
Every phase has a duration, an owner and an exit condition. The next phase starts only once the checklist closes.
Portfolio structure, listing sources and agent working hours are agreed with the sales lead.
OwnerFlavis + sales lead
The listing database and CRM fields are connected and the matching rules are defined.
OwnerFlavis + sales operations
The assistant handles only new leads for the first week while every call is reviewed.
OwnerFlavis + agents
Qualified lead rate and viewing requests are measured weekly and the flow is updated.
OwnerFlavis + sales lead
Tell us how your operation works and we’ll map the use case and a practical path to production.