How Dat Gia
launched an AI
real estate ecosystem.
Lagoona AI is the first layer of an AI-native real estate operation, built with Dat Gia and Lucents Technology to turn buyer interest into qualified sales opportunities.
Lagoona AI Assistant
"How can I help you explore Lagoona?"
AI-powered foundation live for Project Lagoona
Languages supported natively, Vietnamese and English
Consultation coverage, every day, every hour
Product layers mapped, customer-facing Lagoona AI and internal Lagoona Sales Copilot
The Context
A premium project that needed a 24/7 sales engine.
Dat Gia was bringing Lagoona, a premium residential project, to market.
Prospective buyers and investors were researching at all hours. They were asking in Vietnamese and English. They were comparing masterplans, amenities, pricing policies, location, progress, and credibility signals before they ever spoke to a sales rep.
A static website could display information. It could not qualify a lead at midnight. It could not answer a bilingual question about the masterplan. It could not hand a warm buyer to sales with full context.
Dat Gia needed a digital front door that worked like their best sales consultant: always available, consistent in tone, accurate in information, and ready to move serious buyers forward.
Project details
Location, masterplan, amenities
Buyer intent
Captured inside each chat
Sales visibility
Leads and summaries in one place
They also knew this was only the first step. If Lagoona AI worked, the same foundation could support sales enablement, multi-channel engagement, internal knowledge access, and eventually a broader AI operating layer for real estate.
They needed a partner who could ship the first product fast and still see the full system from day one.
Industry Pain Point
Real estate sales still depends on human speed. Buyers now move faster than any sales team can.
Timing
Questions arrive outside office hours
Knowledge
Answers live across decks and scripts
Handoffs
Buyer context gets lost between teams
Real estate buyers do not wait for office hours.
They research at night. They compare projects on weekends. They ask detailed questions before they are ready to speak with sales. They want answers on masterplans, amenities, pricing, legal status, payment policies, location, progress, and investment potential.
Some are serious buyers. Some are early researchers. Some are investors comparing multiple projects at once. Many switch between Vietnamese and English.
For most real estate teams, this creates a daily gap.
Sales teams receive scattered questions across websites, messages, calls, and social channels. Lead quality is hard to judge. Follow-up depends on who is available. Customer context gets lost between marketing, sales, and management.
The best sales consultants know how to handle this. They understand buyer intent. They know the project details. They can sense urgency. They can move a conversation toward action.
But they cannot be everywhere at once.
This is not only Dat Gia's problem. It is an industry problem.
Real estate companies sell high-value products through complex customer journeys, but too much of the knowledge still lives inside decks, documents, scripts, and individual salespeople. The market does not need another static website. It needs a system that can explain, qualify, route, and learn from every buyer conversation.
That was the real opportunity behind Lagoona AI.
How Lucents Forward-Deployed The Solution
Lucents did not wait for a perfect brief. We went into the business, found the friction, and built from there.
Find friction
Structure knowledge
Tune with usage
Embedded discovery
Lucents worked close to sales, marketing, service, and management instead of designing from assumptions.
Product roadmapping
The assistant, dashboard, and future copilot were shaped as one operating layer.
Launch and improve
Real buyer questions became the feedback loop for sharper answers and cleaner flows.
Start inside the business
Most software vendors start with a task list. They ask for requirements, estimate the scope, write tickets, and build what they are told. That model works when the client already knows the product, the workflow, the roadmap, and the edge cases. Dat Gia needed more than execution. They needed a partner who could turn business pain into a working AI platform.
Work with the people closest to the problem
Lucents started with the people closest to the problem. In the first meetings with Dat Gia, we did not only ask what features they wanted. We studied how their teams sold, how customers asked questions, how knowledge moved through the company, and where daily work broke down. Then our forward-deployed team worked side by side with Dat Gia.
Turn scattered knowledge into a product
We mapped the buyer journey. We reviewed sales materials, FAQs, project information, pricing policies, objection handling, and internal workflows. We translated scattered business knowledge into a structured knowledge base. We designed the assistant behavior, the lead capture flow, the escalation logic, and the admin dashboard around how Dat Gia actually operates.
Every round of feedback made the product sharper.
When the assistant answered too generally, we tuned the knowledge. When a lead flow felt too heavy, we simplified it. When internal teams needed better visibility, we shaped the dashboard around the decisions they needed to make. When Dat Gia saw new possibilities, we folded them into the roadmap instead of treating them as change requests.
This is the difference between outsourcing and forward deployment.
Lucents absorbed the ambiguity that usually slows AI projects down. We helped define the product, choose the right technical direction, build the roadmap, ship the platform, and improve it with real usage.
The result was not a chatbot added to a website. It was the first layer of an AI operating system for real estate sales. Built for Dat Gia today, and designed to solve the same pain across the industry tomorrow.
The Approach
Three phases, one foundation, an ecosystem in view.
Brand & knowledge foundation
We positioned Lagoona as premium and trustworthy, then mapped the real buyer journey behind the website. Lucents ingested company profiles, masterplans, pricing policy, amenities, FAQs, sales scripts, objection handling, and credibility assets. The goal was simple: make the assistant useful on day one, with the tone and accuracy expected from a senior consultant.
AI assistant & dashboard
Lucents built Lagoona AI to greet visitors, answer project questions 24/7, support Vietnamese and English, surface relevant media, capture lead details, segment users, and escalate serious buyers to human sales with full context. Behind the assistant, we shipped an admin dashboard for Dat Gia's internal teams. Sales, customer service, marketing, and management could view captured leads, conversation logs, summaries, segmentation results, and basic analytics in one place.
Launch, tune, iterate
We ran department-level UAT with Dat Gia to pressure-test the assistant against real questions from the business. After launch, Lucents continued to monitor conversations, close knowledge gaps, adjust flows, and improve the product based on what buyers actually asked. Lagoona AI became a living system, not a one-time delivery.
What's Next
From one assistant to an AI-native real estate ecosystem
Lagoona AI started with one urgent business problem: Dat Gia needed every buyer conversation to be handled with speed, consistency, and context.
Lucents built the first product around that pain. Then we mapped how the same AI foundation could expand into the rest of Dat Gia's sales operation.
Lagoona AI
Problem: Dat Gia needed a premium digital front door that could answer buyer questions at any hour, support Vietnamese and English, collect lead information, and hand qualified prospects to sales with context.
Lucents solution: We built the Lagoona AI website assistant and admin dashboard. The assistant greets visitors, answers project questions, captures name, email, phone, and intent, segments users, and escalates to human sales when needed. The dashboard gives Dat Gia visibility into leads, conversations, summaries, and basic analytics.
Lucents built the platform that turns website traffic into structured sales opportunities for Dat Gia.
Lagoona Sales Copilot
Problem: Dat Gia's sales team needs instant access to the same trusted project knowledge, buyer context, and objection handling logic that powers the website assistant. Without that, every rep still depends on memory, manual searching, and fragmented documents.
Lucents solution: The next layer is Lagoona Sales Copilot, an AI productivity tool for internal sales teams. It helps reps find accurate project information, prepare for conversations, understand buyer intent, and respond faster with consistent messaging.
Lucents is extending the same AI foundation from customer-facing consultation into sales team performance, giving Dat Gia a platform that supports both buyer experience and internal execution.
Dat Gia Transformation
Lucents took the operational headache and turned it into a growth platform.
Before Lucents
Dat Gia carried daily sales friction. Buyer questions came in at all hours. Information lived across decks, documents, scripts, and individual team knowledge. Sales had to repeat answers, qualify leads manually, and chase context across channels.
Lucents forward deploys
Lucents worked inside the problem with Dat Gia. We understood the pain, designed the solution, built the roadmap, chose the technical direction, structured the knowledge base, shipped the assistant, and delivered the dashboard. Pain understood -> solution designed -> roadmap built -> product shipped.
After Lucents
Dat Gia now has an AI foundation that works every hour. Buyers get answers faster. Sales receives better-qualified leads with context. Internal teams see conversations, intent, and lead activity in one place. Management has a clearer view of market demand.
Before Lagoona AI, Dat Gia had strong demand but too much manual work around it.
Lucents absorbed the complexity that Dat Gia should not have to carry. Instead of asking the client to translate every operational problem into technical requirements, we helped turn the problem into a product.
Dat Gia now has a platform to grow and scale its operation. Lagoona AI is not a one-off assistant. It is the first layer of a larger AI-native real estate system.
The Outcome
A digital front door that sells, and a roadmap the business can build on.
Phase one success
Dat Gia got a premium, bilingual, always-on AI assistant that qualifies buyers, hands them to sales with context, and gives leadership a live view into what the market is asking.
No more leads lost to timezone, language, or delayed follow-up.
The bigger picture
Dat Gia now has something most developers are still trying to define: a working AI foundation for real estate sales.
The platform captures demand, organizes customer intent, supports internal visibility, and creates the base for future sales enablement. Lucents did not only build the first version. We helped Dat Gia define the direction, ship the product, and create a path toward an AI-native operation.
Interested in building your own AI foundation?
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