What does consultance.ai build?

Production AI engines: agents, voice, vision, RAG, workflow automation, and predictive models — designed, deployed, and maintained end-to-end.

Who is consultance.ai for?

Real estate firms, property management companies, and operations-heavy businesses worldwide. Active clients across Dubai, London, Toronto, and Pakistan.

How long from idea to deployed engine?

Proof of concept in 1–2 weeks on your real data. Production engine deployed in weeks 3–6. Self-healing systems and team training included.

How does pricing work?

30-minute discovery call is free. Written audit follows in 1–3 days. Build is project-priced; ongoing partnership is a flat retainer with unlimited servicing.

Do you transfer code and IP?

Yes. Code and IP transfer at every milestone. No subcontractors, no offshore handoffs — direct line to the engineers building.

What stack do you build on?

OpenAI, Anthropic Claude, Vercel, Supabase, Next.js, React, Tailwind, Stripe, Linear, and GitHub — production-grade tools the team trusts.

Real estate brokerage · Dubai, UAE

Updated 2026-05-18

HNS Realty: AI listing engine and WhatsApp voice pod for Dubai buyer intake.

HNS Realty Dubai case study: AI listing workflows, WhatsApp voice pod for buyer intake, and end-to-end hot-lead routing for a Dubai real estate brokerage.

Impact scorecard

post-implementation

Client

HNS Realty

Region

Dubai, UAE

Focus

AI implementation

Problem

HNS Realty's agents were buried in listing admin and WhatsApp intake. New inventory had to be photographed, written up, syndicated to portals, and pushed to brokers — every listing took hours of copy-paste across Property Finder, Bayut, and the internal database. On the buyer side, WhatsApp was the primary intake channel for the Dubai market, but conversations sat in personal phones, qualifying questions were skipped under load, and hot leads went cold inside group chats. Brokerage leadership had no clean view of inventory velocity or buyer intent across the team.

Solution

consultance.ai built two production systems. The AI listing engine ingests raw listing data (photos, owner notes, building specs) and outputs portal-ready descriptions, Arabic + English variants, hashtag sets, and Property Finder / Bayut payloads — pushed via API where supported, queued for one-click publish where not. It enforces a brokerage style guide so every listing reads consistent. The WhatsApp voice pod sits on the brokerage's WhatsApp Business number, greets every new buyer within seconds, runs a structured qualification script, captures area / budget / timeline / payment-plan preference, and routes hot leads to the right agent with a full transcript and intent summary. Cold-but-warm leads enter an automated nurture cadence; the voice pod resurfaces them when matching inventory comes live.

Proof points

Dubai-based brokerage running real estate sales operations end-to-end on consultance.ai's stack.
WhatsApp Business voice pod in production on the brokerage's primary intake number.
AI listing engine generates portal-ready Property Finder and Bayut copy with bilingual variants.
Delivered through the GrowthGrid Dubai operating base.

Outcomes

Hot-lead routing automated end-to-end with transcript + intent summary attached

Listing creation collapsed from hours to minutes per unit

Bilingual EN/AR portal copy generated to brokerage style guide

Buyer intake captured on WhatsApp with zero manual triage

Nurture cadence auto-resurfaces buyers when matching inventory goes live

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