Channel
Messengers and CRM
Real estate
AI employee case study: Two real estate projects
Separate qualification of enquiries for different geographies and products.
What changed for the team
Enquiries are split by project and reach the manager with the deal goal and budget.
Context
Before the implementation
Different pipelines, budgets, and enquiry languages were mixed in a single process.
Next step
Property selection by a manager
What stays with a person
Make the decision where negotiation, an exception, or real responsibility is required.
Scenario
How the process works
- 1
Receive the request
The AI employee takes the request through: Messengers and CRM.
- 2
Clarify the task
Asks questions by project rules and uses confirmed knowledge.
- 3
Prepare the next step
A separate AI scenario was configured for each project: budget, timeline, purchase goal, and handover to the relevant manager.
- 4
Hand off the result
Target next step: Property selection by a manager.
Verifiable facts
Where public facts end
The case does not publish personal data or the client’s financial metrics.
Next step
Take one repeating task out of manual work
Pick a real process, add company knowledge, and verify the result before go-live.