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3 contributions to AI Real Estate Growth Lab
What Manual Processes Are Taking Up Most of Your Team's Time?
Hi Everyone, This is Leela, Helping Real Estate Agencies Reduce Manual Work, Improve Lead Follow-ups & Streamline Operations. I'm an AI Automation Builder exploring practical ways to help real estate agencies reduce repetitive manual work and improve their lead management processes. I wanted to reach out to understand how your team currently handles day-to-day operations, particularly areas such as: - Managing and following up with incoming property enquiries. - Qualifying potential buyers and sellers. - Updating lead information across spreadsheets or CRM systems. - Scheduling property visits and appointments. - Following up with leads who haven't responded. - Managing enquiries across multiple communication channels. I'm interested in understanding which of these processes, or any other tasks within your agency, consume the most time, require repetitive manual effort, or sometimes result in missed opportunities. My approach is simple: 1. First, understand your existing manual processes and identify potential bottlenecks. 2. Explore one specific problem where automation could make a meaningful difference. 3. Build a small MVP (working demonstration) tailored to that particular problem. 4. Present the demonstration to your team so you can evaluate its practical value. If the proposed solution is useful to your agency and you're interested in taking it further, we can discuss developing it into a reliable, production-ready automation. I'm not approaching you with a predefined solution. I'd rather understand your actual challenges before suggesting what could work. Here's my portfolio, showcasing some of the automation projects I've built: https://aiautomationszone.vercel.app/ If you're open to it, I'd appreciate a short conversation to learn more about your current processes and explore for an opportunity to improve them. Looking forward to hearing from you!😇
0 likes • 9d
@Abhi Hariharan not yet!! Maybe in the future 😇
1 like • 6d
@Muskan Ahlawat Thanks for the support Muskan!!😇
Welcome + Intro Thread
Quick intro so we know who's here. Drop a comment with: • Your name and agency • Where you sell • How long it takes you to call back a new enquiry right now Be honest on the last one. Most agents I talk to say "same day if I'm not at an open." That's the gap this whole group is about.
1 like • 21d
@Muskan Ahlawat My present projects are score based but again it depends on the real clients, according to their manual process we will be following in the automation process as well if that what they want it to be.
1 like • 13d
@Muskan Ahlawat going with a flow
I built an AI WhatsApp agent for real estate lead qualification
Version 2 broke in ways I didn’t expect, so here is what I changed and what it taught me. Although it's a second version, I have tried implementing in 3 more other ways and this is the final one I chose that is more optimized!! Hi all, Hope everyone is doing well!! What it does - Chats with property buyers on WhatsApp Qualifies them (budget, location, timeline, financing) Saves them to Supabase Matches properties Books site visits on Google Calendar Asks a human on Slack when it isn’t sure instead of guessing. The 7 requirements I set at the start, and where I am: 1. Save lead (insert, update, lookup): ✅ One upsert per WhatsApp number, no duplicates, saved record read on every message. 2. Warm/cold appointments + partial matches: ✅ Any lead can book if they ask. Partial matches get alternatives based on their top priority (priority_match). 3. Uncertain property questions go to a human: ✅ Pets? Home theatre? Hold this property? Price negotiation? Asks the team, doesn’t guess. 4. Persistent approval workflow: ✅ A separate workflow takes the team’s decision from Slack, stores it, and the agent replies in its own words. (24h WhatsApp window handling still to add.) 5. No match / vague requirements escalate: 🟡 Built, edge cases still in testing. 6. Booking verified before Slack is told: ✅ Event ID and confirmed time checked first. 7. Busy-calendar test: 🟡 Slot rechecked right before booking. Deliberate clash test is next. The biggest lesson: let the AI handle conversation and judgment, and let code handle anything that must be exactly right (verifying a booking, checking the calendar, building an alert).
I built an AI WhatsApp agent for real estate lead qualification
0 likes • 19d
@Abhi Hariharan Thanks for the appreciation😇
1-3 of 3
Leela Krishna
2
7 points to level up
@leela-krishna-2129
I am a beginner who is willing to upskill my knowledge in automation and start my journey

Active 2d ago
Joined Oct 16, 2026