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nexeai
AI for real estate

Spend less time on inquiries. More time with your clients.

Qualifying inquiries, preparing viewings, leases and follow-ups: an agent prepares the file, your teams keep the relationship and the decision.

Tell us about your inquiries
leads · one incoming requestExample

What came in

Lead 4182

site form · 09:41

search
2-bed, city centre
budget
€230,000 – €250,000
financing
agreement in principle
timeframe
under three months

What the agent did

  1. 09:41request received
  2. 09:41criteria extracted from the form
  3. 09:42record created in the software
  4. 09:423 listings from the portfolio matched
  5. 09:43reply drafted, not sent
  6. awaiting the agent

The agent stopped on its own: writing to a prospect commits the agency, and that was not within its scope.

In an agency or a property management firm, a large share of the time goes into repetitive tasks: writing listings, answering the same questions, pulling information out of documents, chasing due dates. This is exactly what AI can take on, under your teams’ approval.

Our approach is no-code, built for French SMEs and real estate professions. The assistants work from your procedures and your documents, and the confidentiality of client files is a starting constraint: the choice of hosting is made with you, according to how sensitive the data is.

The goal is not to replace the client relationship, but to free it up: your teams keep control of every decision. Tell us about a task that takes up your time in a first conversation.

Where AI steps in

Inside the path of an inquiry, not beside it

An agent does not replace a step: it prepares the next one and hands back. Here is where that pays off, and where it does not.

Incoming inquiry

  1. Inquiry received

    portal, form, call

    Agent

    Reads the inquiry and extracts its criteria

    file created, duplicate set aside

    Humain

    The negotiator opens an already-qualified inquiry

  2. Qualification

    budget, area, timeline

    Agent

    Matches the criteria against the portfolio and prepares a reply

    matching properties, reply drafted

    Humain

    The negotiator chooses what to present

  3. Viewing

    meeting, walk-through, discussion

    No agent here, and that's deliberate: the viewing is the moment the agency proves its worth.

  4. File and follow-up

    lease, documents, follow-ups

    Agent

    Prepares reports, file documents and follow-ups

    documents to review, never sent on their own

    Humain

    The manager approves before sending

What it changes, role by role

Agency director
Less time on repetitive work, more time for business development and managing your teams, with a clear view of open files.
Property management manager
Recurring administrative tasks are prepared by assistants: letters, follow-ups, deadline tracking, under your supervision.
Field team
Negotiators, managers and assistants get simple tools to draft, file and find information, with no technical skill needed.
Developer and asset manager
Document processing for sales, rental and asset-tracking files, with centralised, controlled data.
Three scenarios

Named the way you name them

Nobody goes looking for “lead qualification”. They go looking for a way to call the right person back before the agency across the street does.

Scenario 01

Receiving an inquiry

  1. An inquiry arrives from a portal, the site or a call
  2. The agent extracts the budget, area, financing and timelinethe agent takes over
  3. It creates or completes the file and sets duplicates aside
  4. It matches three properties from the portfolio
  5. The negotiator decides who to call back, and whenyou take back the reins
Today
Inquiries pile up in three inboxes, and the best ones go cold along with the rest.
With an agent
An inquiry qualified as soon as it arrives, and a callback that goes out with the right properties in hand.

Scenario 02

Preparing a viewing

  1. A viewing is booked
  2. The agent gathers the property file: surveys, charges, approved worksthe agent takes over
  3. It draws up a presentation sheet and the points to check
  4. It prepares the report to fill in after the viewing
  5. The negotiator reads it over, corrects it and takes it alongyou take back the reins
Today
The file gets put together the night before, and something is always missing.
With an agent
A sheet ready to go and a checklist, written from the property's documents.

Scenario 03

Handling a tenant request

  1. A tenant writes in: a leak, a charge, a certificate
  2. The agent identifies the lease, the unit and the historythe agent takes over
  3. It finds the applicable clause or procedure
  4. It drafts the reply and, if needed, the request for a repair
  5. The manager approves before sendingyou take back the reins
Today
Every request reopens the whole file, and the same question gets handled ten times a year.
With an agent
A reply drafted with its source, that the manager reads over instead of hunting for it.

The other tasks we keep seeing

Repetitive tasks automated, the human relationship kept intact.

Drafting listings
Generating consistent, appealing listings from a property's details, ready to approve in one click.
Lead sorting & qualification
Automatic sorting and prioritising of incoming inquiries, so your teams focus on the best prospects.
Document analysis
Extracting and summarising the key information in leases, surveys and rental files.
Answering inquiries
Assistants that help answer the recurring questions of tenants, buyers and co-owners quickly.
Reports & follow-up
Automated production of viewing reports and file follow-up.
Property management
Automating the recurring administrative tasks of property management, under supervision.
Listings and viewings
Preparing presentation sheets, descriptions and viewing checklists from the property file.
Trustees and co-ownership
Help preparing agendas and minutes for general meetings, and tracking works files.
Follow-ups and deadlines
Preparing rent-arrears follow-ups and tracking lease deadlines, with approval before sending.
What bounds the agent

An agency agent does not write to your clients.

Two tables, and they read together: what the agent is allowed to do before it starts, and what it did once it has finished.

Before — what is allowed

Each agency tool gets the rights the task needs, and not one more.

Example permissions granted to an agent, tool by tool.
Transaction softwareIncoming inquiriesFiles and leases
allowed : read a fileallowed : readallowed : read the documents
allowed : log an exchangeallowed : prepare a replyallowed : file and summarise
denied : amend a mandatedenied : write to the prospectdenied : sign, delete

Example. The actual split is decided during framing, tool by tool, and access can be revoked.

After — what it did

Every file opened can be traced, down to the second.

  1. 09:12:04arrears detected · rent overdue
  2. 09:12:05lease and history checked
  3. 09:12:06previous follow-up found
  4. 09:12:07follow-up letter prepared
  5. 09:12:07approval requested
  6. awaiting the manager

An example. The agent stopped on its own: writing to a tenant commits the agency, and that was outside its scope.

Your first agent

Where an agency would start

A first scope is chosen small: one channel, its criteria, a measurement after thirty days.

first project · incoming inquiriesExample

Qualifying inquiries from a single channel

What the agent covers

  • vérifié : Reading inquiries from the site's form
  • vérifié : Extracting the search criteria
  • vérifié : File created, duplicates set aside
  • vérifié : Matching properties gathered
  • exclu : Contacting the prospect

What it needs from you

  • a month of real inquiries
  • your priority criteria
  • read access to the portfolio

What stays with you

  • the callback and the relationship
  • choosing which properties to present
  • any message sent to the prospect

What we look at after thirty days: the time between an inquiry arriving and the first callback, and the share of inquiries qualified without rework.

estimate · inquiries per monthYour figures
inquiries / month
minutes

Time consumed today

≈ 16 hper month

This total is yours: it only comes from the two figures alongside. Only part of this time can be automated — we look at the volume, how stable the process is, the exceptions and the data available before saying so.

Get this process reviewed
Our method

How a project runs

We move in stages, to check the value before widening the scope.

  1. 01

    Frame

    • The processes that take up most of your teams' time: listings, inquiry qualification, documents, follow-ups. You choose the starting scope.

  2. 02

    Test

    • A first assistant on a real process, with your documents and listings, tested on a bounded scope with your teams.

  3. 03

    Deploy

    • Integration with your practices, team training and approval rules: every piece of content is reviewed before it is published or sent.

  4. 04

    Measure

    • Processing times tracked with your team, the gap against success criteria measured, the setup adjusted continuously.
Frequently asked questions

What we're asked before getting started

Straight answers on data, regulation and rollout.

Where is client file data stored?
It depends on the architecture chosen: local on your servers, hybrid or cloud. The choice is made during framing, based on how sensitive the data is, and every flow is documented. Nothing is transferred by default.
Is this use case really worth automating?
Not always, and we say so when it is not. We check the volume, the time it consumes, how stable the process is, how many exceptions it has and what data exists before proposing an agent. A rare task, or one full of special cases, costs more to automate than to do.
Do the generated texts comply with regulation?
Content stays under your responsibility and your approval. We configure the assistants to avoid misleading wording, and every listing or letter is reviewed before it goes out.
Can AI qualify inquiries without getting it wrong?
It sorts and prioritises according to the criteria you set, and passes unclear cases to a person. The pilot exists precisely to check the quality of the sorting before widening the scope.
Does the agency need an IT specialist?
No. Our approach is no-code: the assistants are configured by our team and used by your staff through simple interfaces, with no technical skill needed.
How does the team adopt the tool?
We start with a process your teams find tedious, we train the people involved, and we adjust it with them. Adoption happens department by department, at their own pace.
Can we start with a single process?
Yes, and that's what we recommend. Starting with drafting listings or sorting inquiries lets you check the real value before automating other tasks.

Save time on real estate paperwork

Tell us which tasks take up your teams' time. Together we assess which ones are worth automating.

Book a call

To go further

Other formats complement this offer, depending on where you're starting from.

Legal sector

Leases, contracts and document files: law firms automate work close to yours.

Bespoke AI agent development

Agents that chain the steps together, use your tools and stop when an action that commits you needs approval.

Workshop: frame and prototype an AI agent

Half a day as a group to choose your use cases, map your data and leave with a prototype, no technical background needed.

AI and automation audit

Two weeks to identify the tasks you can automate, whether they are feasible, and a 90-day roadmap with before-and-after measurement.