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Illustrative scenario

Four agents, and most of the day spent on the wrong people

A residential agency in Alger — four agents, a portfolio of around eighty listings, enquiries arriving by WhatsApp, phone and the website.

Illustrative scenario. This describes the kind of work RC AI does for businesses in this sector, with modeled figures. It is not an audited client result, and the business described is not a real named company.

BUSINESS TYPE
Residential agency, 4 agents
CHANNELS
WhatsApp · phone · website
SERVICES USED
AI receptionist · Intelligent ERP & CRM
1.0
The challenge

The serious buyer is queued behind twenty who are not.

Every listing posted generates a wave of enquiries. Agents work through them in the order they arrived, which means the buyer with the right budget and a firm timeline waits behind people who are browsing, wrongly priced, or looking in a different city entirely.

By the time an agent reaches the serious buyer, that buyer has been qualified and booked by another agency. The work was done — it was just spent on the wrong twenty people first.

WHAT IT COSTS
  • Agent hours spent on enquiries that were never going to convert
  • Serious buyers reached after a competitor already booked them
  • No record of buyer criteria, so nothing to match new listings against
2.0
What we built

Qualify everyone instantly, hand the agent only what matters.

Two services as one system. The agent’s first conversation is with someone already qualified.

01

AI receptionists & chatbots

Answers every enquiry in seconds and asks what an agent would ask — budget, area, property type, timing, financing. Qualified buyers get a viewing booked into the agent’s real availability; the rest get a genuinely useful answer without occupying anyone.

  • Every enquiry answered within seconds, at any hour
  • Qualified on budget, area, type and timing
  • Viewings booked into the agent’s real calendar
  • Works in darja, French and Arabic, voice notes included
02

Intelligent ERP & CRM

Every enquiry becomes a buyer record carrying its criteria, whether or not it converted. Listings, buyers and viewings sit in one system, so the pipeline is visible per agent rather than living in four separate phones.

  • One buyer record per enquiry, criteria included
  • Listings, viewings and offers in one pipeline
  • Agent workload and conversion visible at a glance
  • Full history across WhatsApp, phone and the site
3.0
Modeled results

What the model shows

Modeled over a quarter at constant enquiry volume and constant portfolio size.

+44%
Viewings booked from the same enquiry volume
-58%
Agent time spent on unqualified enquiries
< 30 s
Median first reply, at any hour
100%
Enquiries recorded with buyer criteria

These figures are modeled for an illustrative agency of this size. They are not measured results from a named client.

4.0  In practice

What this looks like for you

Your agents are not short of enquiries — they are short of qualified ones. Moving qualification ahead of the first human conversation is what turns volume into viewings.

5.0  Contact

Your business, always open — even when you're not.

Book a demo and see your own AI system live in a few days.

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