Incoming call
The agent has a regular conversation with the prospect.
AI that gets to work right after the call
The call has ended. The lead is already ready to work.
Instead of ending a call and starting to type everything all over again, Nadlan One connects AI to the workflow:Transcription, summary, lead creation, requirement identification, and property matching.
✦
AI Summary
Lead created · Requirements identified · 8 matching properties found
The agent chooses what to show the client
AI for agents
Call transcription
Automatic lead capture
☎ Incoming call
12:48
"Looking for 4 rooms in Ra'anana..."
“Budget up to 3.4 million…”
"It's important for me to be close to the center..."
✦ AI SummaryCompleted
AreaRa'anana
Rooms4
BudgetUp to ₪3.4M
✓Lead created
✓Requirements saved
✓8 properties found
Not AI for AI's sake
How Nadlan One AI works in practice
In the world of real estate brokerage, the value of AI isn't another chat window. Nadlan One AI takes information that was already said in a conversation and turn it intoInformation you can work with immediately.
As part of the AI workflow, the agent receives a dedicated virtual phone number. Calls through the number are recorded in the system, allowing the AI to transcribe, summarize and turn the conversation details into an organized lead.
The call is recorded in the system, the AI transcribes and summarizes it, creates an organized lead, and identifies the requirements that came up: area, budget, number of rooms, property type, and other details mentioned in the conversation.
From here the information connects toCRM for agents, and the system checks which properties match the new client.
For day-to-day actions and alerts during the day, see also the AI personal WhatsApp assistant for real estate agents.
From a manual process to a connected process
From an incoming call to a lead ready for work
Every stage feeds the next stage, without starting over once the call ends.
Transcription and summary
The call becomes text and a summary that centralizes the important information.
Lead created
The prospect's details enter an organized workflow in the CRM.
Requirement identification
The system uses information from the call to organize the search requirements.
Property matching
8 properties found that match the requirements from the conversation.
From here, the agent decides.
The system suggests matching properties, the agent chooses what's relevant, who to show it to, and what to send.
What's saved?
Less typing after the call. Less information left only in your head.
Nadlan One shortens the path between a good call and the next action.
No need to write a summary again The key information from the call is already centralized in one place.
Less data entry The system turns the conversation into a lead and organized work requirements.
Not searching for properties from scratch The identified requirements connect immediately to the property database in the system.
Fewer forgotten details The summary is saved as part of the process, not left only in the agent's memory.
Clearer follow-up going forward The client enters the CRM, and you can continue from there to follow-up, matches, and a deal.
The agent stays in control AI organizes and suggests. The business decision and the client relationship remain with the agent.
From lead to property
The AI doesn't stop at the summary. The information connects to the property database.
The system identifies the client requirements from the conversation, finds matching properties and presents them to the realtor. The realtor decides what to show and how to proceed.
The Nadlan One principle
AI that empowers the agent, not replaces them
AI captures, transcribes, summarizes and identifies opportunities. The realtor stays in control and decides what to present to the client and what happens next.
CRM for agents
See how the lead, requirements, actions, and follow-ups continue from here into an organized process.
To the CRM for Agents Guide →Apartment database and MLS
The requirements identified in the conversation connect to properties and opportunities already in the system.
Real estate software
See how AI, CRM, properties, and follow-up connect into one work system.
To the Real Estate Software Guide →
FAQ
Questions about AI for agents
How does AI for agents work in a conversation?
The call is recorded in the system, AI transcribes and summarizes it, creates an organized lead, identifies the prospect's requirements, and lets the system search for matching properties based on the information gathered.
Does the AI send properties to the client automatically?
No. The system locates matching properties and shows them to the agent, but the agent remains in control and decides which properties to show or send to the client.
What does the AI identify from the conversation?
The goal is to turn the information said in the conversation into organized work requirements, such as area, budget, number of rooms, and property type, based on what was said in the conversation.
How does AI connect to a CRM for agents?
Instead of the agent summarizing the conversation from scratch and typing the data in manually, the information can turn into an organized lead and connect to the client, their requirements, property matches, and follow-ups in the system.
What happens after matching properties are found?
The agent sees the matches, chooses which properties are relevant, and decides what to show the client. From there, you can also continue to the prospect's personal mini site.
Does AI replace the agent's work?
No. The goal is to reduce manual work, organize information, and suggest matches. The judgment, the relationship with the client, and the decision on how to move the process forward stay with the agent.
Want to see a call turn into a lead?
Less typing after the call. More time to move the client forward.
We'll show you how the call connects to AI, to the CRM, and to property matching within Nadlan One.