AI Agents · CRM Automation
An AI agent that replies to every new property inquiry, asks qualifying questions and books viewings for the sales team.
This is an illustrative example of a system we build. It is not a client project, and no results are claimed.
- Client
- Sample project
- Industry
- Real estate
- Location
- International
- Timeline
- Example: 4 weeks
01 The challenge
Inquiries arrived from the website, portals and social ads at all hours. Agents replied manually, often hours later, and spent their time on leads that were not ready to buy.
02 Our solution
An AI agent responds to each new lead within seconds, asks budget, location and timeline questions, scores the lead, and books a viewing in the agent's calendar. Every conversation and score is saved to the CRM.
03 System architecture
Inputs01
- Website form
- Property portals
- Facebook lead ads
Intelligence02
- Qualification agent
- Lead scoring rules
- Knowledge base of listings
Integrations03
- n8n workflows
- CRM API
- Calendar API
Outputs04
- WhatsApp & email replies
- Booked viewings
- Scored CRM records
04 Workflow
01 · Trigger
New inquiry
02 · Agent
Instant reply
03 · Qualify
Budget & timeline
04 · Score
Lead score
05 · Book
Viewing booked
06 · CRM
Record updated
05 Technologies
- OpenAI
- n8n
- HubSpot
- WhatsApp API
- Google Calendar
- Supabase
06 Implementation
- 01
Discovery
Mapped every lead source and the questions top agents ask.
- 02
Design
Wrote the qualification logic, tone of voice and hand-over rules.
- 03
Build
Built the agent, n8n workflows and CRM integration.
- 04
Launch
Tested with real inquiries, then switched on for all sources.
07 Outcomes (sample)
- Sample · not verified
Lead response time
Replace with your measured result (e.g. average time to first reply).
- Sample · not verified
Qualified leads
Replace with the share of leads qualified automatically.
- Sample · not verified
Time saved
Replace with hours saved per week for the sales team.
08 Screenshots
Next project
WhatsApp support assistant for an online store
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