From conversations to commercial decisions.

Real-estate developers receive inbound enquiries from buyers with different budgets, financing situations, purchase timelines, and levels of intent. Sales teams often spend significant time manually interpreting conversations, identifying serious buyers, and deciding whom to follow up with.

The problem wasn't a lack of leads. It was a lack of actionable intelligence.

Built RIADIS.ai, an agentic AI system that combines conversational AI, buyer-signal extraction, qualification logic, automated follow-up and recommended next actions to turn buyer conversations into structured commercial decisions.

From incoming conversation to prioritised sales opportunity.

1. 01 — Engage

   An AI conversational agent handles inbound buyer conversations in French and Moroccan Darija, gathering relevant information about the buyer's requirements.

2. 02 — Understand

   The system extracts and structures commercial signals, including budget, financing readiness, property preferences, purchase timeline, and engagement.

3. 03 — Qualify

   A qualification engine evaluates buyer signals and assigns a priority score from 0–100, with explainable priority tiers.

4. 04 — Act

   The system recommends the next commercial action, supports follow-up workflows, and surfaces high-priority opportunities in a sales cockpit.

From one conversation to a qualified opportunity.

A buyer chat on WhatsApp becomes a scored lead with budget, timeline and a recommended next action.

2:32 PM

Yasmine El Amrani

online

WhatsApp Business

RIADIS replies in French and Darija · escalated to the team on strong signals

RIADIS

Hello Yasmine. We still have 3 two-bedroom units within that budget. What timeline are you buying on?

2:28 PM

I want to buy before the end of the month. I have a 40% down payment and I'll be in Marrakech on Monday.

2:31 PM

RIADIS

Great. I can arrange a viewing on Monday. Would 2 PM work?

2:31 PM

Immediate priority2 min

Yasmine El Amrani

🇫🇷 Paris · MRE

86/100

Budget

1.8M MAD

Type

2-bed apartment

Timeline

< 30 days

Call nowConfirm visit Monday 2pm · 3 compatible units→

Founder · AI Product Architect · End-to-End Builder

• Identified and validated the commercial problem through developer and buyer discovery.
• Defined the AI product strategy, system architecture, and commercial qualification framework.
• Built and integrated the AI conversational workflows, frontend, backend, and database.
• Developed the buyer-signal extraction, lead scoring, follow-up, and prioritisation logic.
• Designed the commercial cockpit to translate AI analysis into actionable sales decisions.
• Took the product from concept to a functioning production MVP through AI-assisted development.

Buyer prospects processed

399

Priority opportunities

77

Property projects

15

The platform demonstrates how unstructured buyer conversations can be converted into structured commercial intelligence and actionable sales priorities.

Platform figures are operational metrics, not independently verified sales conversions or revenue impact.

The ability to take an applied AI opportunity from customer discovery through product architecture, implementation, and operational deployment — connecting AI capabilities directly to business workflows.