Your AI answers the listing enquiry in minutes.
It books the viewing straight into the agent's calendar, drafts the lease from agreed terms, and checks FICA documents for what's missing. Self-hosted CRM removes the per-agent fee that grows with every hire.
What your AI would do in Real Estate.
Concrete jobs an AI operating system set up around your business could take on, including the ones that catch a problem before it lands on your desk.
01
Answers listing enquiries within minutes and books the viewing straight into the agent's calendar.
02
Drafts the lease or offer document from the agreed terms, ready for a final check.
03
Reads FICA documents from a new tenant or buyer and flags what's missing.
04
Flags a listing sitting unviewed for longer than similar properties in the area, before it goes stale.
17.2%.
of tenants on the PayProp Rental Index for South Africa were in arrears in Q3 2025
What your AI does about it:
It reads a new tenant's FICA documents and drafts the lease from the agreed terms, so the agent's hours go to the follow-up that needs a person.
Imagine it. Here it is.
See it work.
A short, fictional scenario. Watch the AI handle it end to end.
R 210K
Typical annual licence spend
Across 7 common real estate tools
R 189K
Recoverable each year
After self-hosted OSS migration
3
Sector pain points we cover
From licensing to compliance to access control
The real estate stack, on the books
Tap a tool. See the open-source swap and the saving.
Bars show what the typical real estate firm spends annually on each licence. The sage portion is what the hosted open-source equivalent costs.
Typical Real Estate stack
7 tools · R 210K/yr in licences
Replace
DocuSign
E-Signatures · R 60K per year
With
DocuSeal
Self-hosted on your infra
Annual savings
R 54K
After hosting · approx 90% reduction
Current annual spend
R 210K
Estimated OSS hosting
R 21K
Annual savings
R 189K
Tap any tool to see the open-source replacement and the per-tool saving
Where real estate time and money leak
What we hear on every real estate discovery call.
Listing enquiries sitting unanswered overnight
A WhatsApp or web enquiry at 9pm waits until morning for a reply, and the lead often moves on. An AI answers and books the viewing straight away.
Per-agent CRM pricing scales badly
A 20-agent office pays the CRM vendor more than a junior conveyancer, purely for seats.
Buyer and tenant data spread across vendors
POPIA data-subject requests get complicated when personal info lives in four SaaS tools across three jurisdictions.
How we handle the real estate edges
The sector-specific things we get right.
Now it's real.
Four things stay true, whatever we build for you.
Your hardware or ours
On your server, on ours, or on a machine in your office running an open model. Your call.
A person approves what matters
Payments, deletions and anything going to a client wait for a yes from you or someone you choose.
Every action logged
You can see what it read, what it did and why, for every task.
Built with POPIA in mind
We set it up the way we set up any system that handles personal information, with the same care our compliance work gets.
Questions people ask
Does the AI negotiate price or terms on its own?
No, it answers enquiries, books viewings and drafts documents. Price and terms are always agreed by the agent.
How does this help POPIA for buyer and tenant data?
ID numbers and affordability documents stay on infrastructure you control, with an auditable trail for data-subject requests.
Can it check FICA documents for trust account compliance?
Yes, it flags missing or incomplete FICA documents from a new tenant or buyer before the file goes to trust accounting.
What about international buyers and SARB rules?
Self-hosted simplifies what would otherwise be a multi-vendor POPIA transfer question for cross-border buyer data.