1. 🪵 Tree bots: good for tacos, not for patients.

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Does this ring a bell?

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"Write 1 to schedule"

"Write 2 for address"

"Type 3 to repeat the menu (I mean, options)."

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That's a tree bot.

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A rigid, step-by-step logic that forces the patient to follow an exact path.

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Like a phone recording disguised as a WhatsApp.

🍕 It works if you sell pizza.

🚫 Fail if you are taking care of health.

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Because in a clinic, messages do not follow scripts.

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They are human. Unpredictable. Sometimes urgent. Sometimes emotional.

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And that's where the bot breaks down.

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Real example:

Patient: "Hello, I had surgery 3 days ago and I am in a lot of pain, is it normal?"

Tree Bot: "Thank you for your message. Type 1 to schedule an appointment. Type 2 for our address."

Not only does it not help.

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It worsens the experience.

Why?

- Do not understand context (postoperative or new appointment?)

- They do not detect emergencies (do we have to escalate this yet?)

- They do not interpret emotions (pain? fear?).

- No criteria (they respond the same to all)

And the simplest thing:

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Many patients do not follow instructions.

They write "I want a date tomorrow" and hope someone understands them.

The bot gets stuck.

The patient leaves.

Your team then sees an open chat... but it's too late.

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The result?

- Unclosed chats

- Missed appointments

- Frustrated patients

- And you thinking that "the bot is useless".

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It's not that the bots don't work.

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It's just that they weren't designed for clinics like yours.

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2. 🤖 Generic AI: sounds smart, but doesn't understand clinics.

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Today there are thousands of tools that "use AI" to respond to messages.

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And many do it well... whether you sell shoes or manage hotel reservations.

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But in private healthcare, it takes more than understanding words.

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Real example:

Patient: "I've had a fever since yesterday, but I don't know whether to wait or go for a consultation."

Generic IA: "Thank you for your message, would you like to schedule an appointment?"

Sounds polite.

But he doesn't understand what's at stake.

And in clinics, what is at stake is trust.

These generic AIs were trained with millions of conversations from ecommerce, tech support, to banking.

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What don't they have?

- Data from actual clinics

- Real patient conversations

- Medical language training

- Understanding of how health monitoring is performed

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Then:

- They do not differentiate between a frequent doubt and a sales opportunity.

- They don't know when a patient is about to cancel

- They confuse symptoms with requests ("I have bleeding" is not the same as "I want to reschedule").

- Failure to apply empathy where it matters (a post-op, a frightened patient).

They look smart.

But in practice... they don't understand your operation.

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🎯 What's going on in the clinic?

Your team sees "nice" but cold answers.

The patient feels that he/she is not understood.

And you ask yourself, "Is this helping me...or making things more complicated?"

And the worst:

Since they are not made for clinics, they do not learn from your cases, your flows, or your style.

Answer. Yes.

But they don't care. They do not convert. They do not accompany.

And that is the heart of good clinical coordination.

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🔐 What about safety?

In healthcare, privacy is not optional.

And many of these AIs were built for businesses that do not handle medical information.

Do they use secure servers? Maybe.

Do they comply with specific health standards? Very rarely.

Do they have traceability in conversations? defined roles? access controls?

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No. Because they were not made for this.

And you know it: A clinic can't risk a patient's information leaking, getting lost... or ending up in the wrong hands.

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3. 🩺 Kora: AI designed for private clinics only.

It is not a bot.

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It is not a generic AI disguised as a medical solution.

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Kora is something else.

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It is an intelligent tool, trained exclusively with real data from private clinics.

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The result?

An AI that not only responds-knowswhat's going on in your clinic.

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📚 Kora understands context

Patient: "Hello, I feel worse since Saturday. Is it normal?"

Kora: It detects that it is a postoperative.

Escalate to a human coordinator if you notice signs of urgency.

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📌 Kora distinguishes intent.

"I would like to know if you still have availability for this week."

This is not a simple consultation.

This is a sales opportunity.

Kora knows it. And she acts to close.

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❤️ Kora adapts your tone

Is your clinic close? Formal? Friendly?

Kora trains with your real conversations.

And respond as your best coordinator would, but without exhausting yourself.

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What makes Kora different?

✅ Respond to messages like a health-trained person.

✅ Schedules appointments, provides follow-up, answers frequently asked questions

✅ Detects emergencies and knows when to escalate the team

✅ Learn from your own flows, styles and priorities.

✅ Works 24/7, does not get tired, does not disconnect.

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She is not replacing your coordinator.

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It takes away the repetitive burden, so that it can focus on where it matters most: the human touch.

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And most importantly:

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Kora does not require the patient to write "1" or "2".

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Nor that the message is perfect.

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Kora understands. And acts.

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Because your patients are not users. They are people.

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And they deserve better than an automated menu.

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🧠 If you already tried bots or AI... and they didn't work, it's not that the technology is useless.

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They just weren't made for clinics like yours.

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What your clinic needs is not just another tool.

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It is a solution that I understand:

- how your patients talk

- how your team works

- what "urgent" means in a medical context

- and when a conversation is just that... or an opportunity for growth...

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Kora does all that.

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And it does it without asking for instructions, without you having to be on top of it, without breaking your flow.

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Because when your patients write at 10pm...

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They do not want a menu of options.

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They want to feel cared for.

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What if you see how it would work in your clinic?

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👉 Link to talk to Kora

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No strings attached. Just a real test - you and Kora chatting on WhatsApp.

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