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AI with Samuel

Use case — Real estate

Between leads, viewings, and follow-ups, nothing connects on its own.

A custom-built AI system, wired into your current tools (listing portals, CRM), so nothing falls through the cracks — without replacing your judgment on what goes out to the client.

The reality

We know your business

01

A response time that goes from 5 to 30 minutes cuts your chances of qualifying a prospect by 21x — and 60% of agencies lose sales simply from a lack of digital follow-up.

02

On average, 70% of an agent's time goes to prospects who will never convert, for lack of a structured method to assess how ready a project really is.

03

A neglected CRM means forgotten follow-ups — and listings that walk out the door with them.

A real estate agent talking with clients in a modern apartment.

In practice

Solutions ready to implement

01

Leads sorted without losing your day to it

Trigger

New contact from a listing portal.

Agent action

The agent qualifies it and drafts a first reply.

Validation

You decide whether to send it.

Result

No more prospect waiting 30 minutes.

02

Viewing reports ready in 2 minutes

Trigger

Your notes after a viewing.

Agent action

The agent structures the report.

Validation

You proofread it.

Result

Ready to share with the owner.

03

Follow-ups that never fall through the cracks

Trigger

A file has gone quiet.

Agent action

The agent spots it and drafts the follow-up.

Validation

You stay in charge of sending it.

Result

No more listings lost to forgetfulness.

Method

How I work

  1. 1

    Understanding your business

    I take the time to understand how you actually work: your tools, your clients, your constraints — before talking solutions.

  2. 2

    Identifying friction points

    Together we pinpoint exactly where things get stuck: where you lose time, where information gets lost, where a customer waits too long.

  3. 3

    Analyzing the need

    I look at what, among these friction points, can genuinely be handled by an AI system — and what definitely shouldn't be.

  4. 4

    Proposing solutions

    A concrete architecture, wired into your existing tools, with what stays under your control clearly identified.

  5. 5

    Implementation

    The system is built and connected to your real environment, not an isolated demo.

  6. 6

    Training on the tools

    Your team learns to use, adjust, and trust the system — without depending on me for every setting.

  7. 7

    Testing

    The system runs on real cases before being rolled out fully, to catch what needs fixing before it reaches your clients.

  8. 8

    Optimization

    Early results help refine the rules, thresholds, and edge cases.

  9. 9

    Final version

    A stable, documented system you can keep evolving, with or without me.

Custom-built

Your situation doesn't fit any of these boxes? Let's talk anyway.

The solutions above are a starting point, not a fixed menu. If your problem doesn't resemble any of the cases described here, that doesn't mean there's nothing to do — it just means we start from your case rather than a template.

Positioning

A vision that goes beyond the technical

A poorly designed AI system can hurt your customer journey, your brand image, or your sales process just as much as it can improve them. Before AI, my background came from marketing, design, and sales — I look at a project as a whole (marketing, UX, sales, product, design), not just the technical piece.

Trust & transparency

Trust & transparency

The system prepares, you decide

Anything that commits your business (a rate, a message to a client, approving a file) goes through human validation before it goes out.

Nothing is a black box

You always know why the agent did what it did, and whatever was prepared or sent stays reviewable.

We plug into your tools, we don't lock you into a new one

No extra platform to learn, no forced migration.

See also

Other industries, the same method

Let's talk about your agency

A first conversation, no strings attached, to understand where you're at and whether it's worth going further.

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